Careers
Work with us
Category: Insight

Lenders Transformation Playbook: Bridging Strategy and Execution

Blanc Labs

Lenders Transformation Playbook: Bridging Strategy and Execution

Introduction

The “Lenders Transformation Playbook” serves as a comprehensive guide for financial institutions embarking on digital and operational transformation. In an era of rapid technological change and evolving customer expectations, lenders face increasing pressure to innovate and align business strategies with technology capabilities. This document provides a structured approach for bridging the gap between strategy and execution, ensuring that transformation efforts are targeted, phased, and measurable for sustainable growth.

Executive Summary

  • Strategic Alignment: The playbook outlines a transformation roadmap that integrates business objectives with technology capabilities, driving profitable growth, operational efficiency, and effective risk management.
  • Phased Approach: A structured, phased strategy breaks transformation into manageable steps, minimizing risk while steadily building necessary capabilities.
  • Detailed Initiatives and Costs: Each initiative is mapped out with its associated costs, dependencies, and timelines, enabling optimized resource allocation and ensuring maximum impact.
  • Current State Assessment and Target Setting: The document emphasizes evaluating the current state to set a clear, achievable target, supported by KPIs for tracking progress and outcomes.
  • Governance, Risk, and Compliance (GRC): GRC frameworks are integrated into the transformation process to align technology investments with regulatory compliance and business continuity.
  • Prioritization Framework: Initiatives are ranked using a Feasibility vs. Business Value Matrix, focusing on strategic value, ROI, and feasibility for streamlined execution.
  • Progress Measurement: A phased, metric-driven approach (Crawl, Walk, Run) measures success, with continuous stakeholder feedback for real-time adjustments and sustainable growth.

What Good Looks Like

A successful transformation roadmap provides a structured approach to achieving long-term business objectives. Key components include:

Clear alignment between business and technology strategies.

A phased approach to transformation, breaking down the journey into manageable initiatives.

A focus on prioritization, ensuring the highest impact projects are delivered first.

Phasing the transformation allows organizations to mitigate risks while steadily building capabilities. A good roadmap offers a structured sequence for initiatives based on their strategic relevance and feasibility, ensuring resources are optimized for maximum impact.

Chart 1

The strategic roadmap visually and functionally integrates these key elements:

  • Business Objectives: These are high-level goals the organization aims to achieve, such as Profitable Growth, Operational Efficiency, and Compliance and Risk.
  • Business IT / Capabilities: For each business objective, specific IT capabilities are identified that need to be developed or enhanced to achieve these objectives.
  • Strategic Actions: Aligned with each capability are strategic actions. These are specific activities or projects that need to be undertaken to develop the capabilities necessary for achieving the business objectives.
  • Strategic Roadmap: This section maps out the timing and sequence of initiatives derived from the strategic actions. It is presented in a timeline format across quarters or months. Each initiative is associated with a specific strategic action and is plotted against time to show when it will be initiated and its duration.
  • Cost: Each initiative on the timeline has an associated cost, which helps in budgeting and resource allocation planning.
  • Key Dependencies and Risks: Below the timeline, key dependencies and risks are illustrated. Dependencies show how certain initiatives are reliant on the completion of others, while identified risks might impact the execution of the initiatives.
  • Metrics / KPIs: Corresponding to the initiatives are metrics or KPIs that will be used to measure the success of each initiative, ensuring that each step taken aligns with the strategic goals and delivers the intended outcomes.

Three Steps Towards Creating a Transformation Roadmap

Developing a successful transformation roadmap requires a structured approach, ensuring that both business objectives and technology capabilities are fully aligned. This section outlines three critical steps to creating an effective roadmap, merging the analysis of the current state and the definition of the target state into a single step, as these are deeply interconnected processes.

Chart 2

Aligning Business Objectives with Technology Capabilities

In large-scale transformations, aligning business objectives with technology capabilities is a critical step. The success of a transformation initiative hinges on whether your technology strategy is effectively calibrated to deliver business value. This alignment is more than just matching technology solutions to business needs—it’s about creating a cohesive strategy that considers business vision, processes, architecture, and execution plans.

Establishing Strategic Linkage Between Business and Technology

Image 3

As shown in the diagram, lenders should align their technology investments with business strategy, ensuring each objective, whether focused on customer engagement, efficiency, or growth, is tied to relevant technology capabilities. By evaluating emerging technologies such as AI, cloud, and data analytics, lenders can ensure these investments are both strategically relevant and scalable, driving meaningful outcomes.

Translating Business Strategy into Operational Execution

A well-defined business strategy must translate into an executable plan, which is facilitated by enterprise architecture. The architecture serves as the “glue” that binds strategy with operational execution by guiding critical questions like:

Image 4

Governance, Risk and Compliance (GRC)

Governance, Risk, and Compliance (GRC) frameworks are crucial in aligning business objectives with technology capabilities in the highly regulated financial services industry. For lenders, GRC goes beyond regulatory compliance to enhance business continuity, risk mitigation, and operational integrity. GRC should be integral to the enterprise architecture, guiding technology selection and influencing architectural decisions to minimize vulnerabilities and ensure compliance from the outset.

Effective governance sets up processes, standards, and oversight to align technology investments with business goals, such as improving customer experience or boosting operational efficiency. By establishing clear roles and responsibilities through frameworks, it ensures accountability and facilitates informed decision-making and swift execution.

Risk management identifies and addresses threats like data breaches or system failures, crucial for safeguarding data privacy, transaction security, and service availability. Integrating risk management into technology planning helps lenders preempt regulatory risks and embed compliance into technology solutions from the start.

Compliance dictates specific technology adoptions, driving investments in data management and compliance-centric capabilities like automated reporting and audit trails. This ensures lenders meet regulatory demands efficiently and responsibly, particularly as they increasingly use AI and data analytics, adhering to privacy laws and ethical guidelines.

Assessing the Current State and Defining the Target State: Where We Are and Where We Want to Be

The transformation process begins by evaluating the current state of the organization’s technology capabilities and business alignment and setting a defined target state which the transformation aims to achieve. Utilizing tools like the Online Capability Maturity Assessment ensures that these assessments are thorough and accurately reflect the organization’s capability across various domains.

Assessing the Current State of Technology Capabilities

The first step is to gain a clear, objective understanding of where the organization stands today. This involves a thorough evaluation of current technology capabilities. The assessment phase serves as a diagnostic tool to identify existing gaps, inefficiencies, and misalignments that hinder the organization’s ability to achieve its goals. Capabilities will be organized into three domains:

Image 5

IT Operations
Applications & Data
Infrastructure & Security

Digital Organization: Evaluates the integration of digital technology into all areas of business, changing how operations are performed and value delivered.

Strategy & Innovation: Assesses how effectively the organization fosters innovation and implements strategic technology initiatives that align with business goals.

Technology Finance: Reviews financial management strategies related to technology investments to ensure cost-effectiveness and alignment with financial goals.

Project Portfolio Management: Analyzes the management of the entire portfolio of IT projects to ensure they deliver on intended business values and are aligned with strategic objectives.

Process Reengineering: Focuses on the analysis and redesign of workflows and processes within the organization to drive improvements in cost, quality, service, and speed.

App/SaaS Portfolio Rationalization: Assesses the use and effectiveness of applications and Software-as-a-Service solutions to identify overlap, reduce costs, and streamline software use.

Solution Delivery & Support: Examines how solutions are developed, delivered, and supported to meet user needs effectively and efficiently.

Enterprise & Data Analytics: Evaluates the capabilities in managing and leveraging data across the organization to support decision-making and achieve competitive advantage.

Data Center & Facilities Management: Reviews the management of physical data centers and related facilities to ensure they meet operational needs securely and efficiently.

Server & IaaS Management: Assesses the effectiveness of server management and Infrastructure-as-a-Service provisions to support scalability and business continuity.

Enterprise Security: Focuses on the policies, technologies, and controls deployed to protect data, applications, and the associated infrastructure from internal and external threats.

Networks & Communication Services: Reviews the infrastructure and services that support networking and communications to ensure they are robust, secure, and capable of meeting current and future demands.

The assessment incorporates detailed evaluations across these domains, utilizing metrics ranging from absent (0) to optimized (5), providing a clear picture of technology and business alignment.

Assess the Current State of Business Capabilities

To thoroughly assess the current state of business capabilities, an enterprise must first construct and examine its value chain. This involves a detailed analysis of all processes within the value chain to ensure they effectively support the organization’s strategic objectives. This assessment is critical for identifying efficiency gaps, opportunities for enhancement, and areas where the business may be at risk of falling behind market demands or technological advancements.

The construction of the value chain involves mapping out all key activities involved in creating and delivering the product or service to the customer. This includes everything from inbound logistics, operations, and outbound logistics to marketing, sales, and service. Each segment of the value chain is scrutinized to understand how individual activities contribute to overall value creation and competitive advantage.

Each of these business capabilities, and processes should be guided by key value drivers that align with the organization’s broader business objectives. These value drivers might include:

  • Cost Efficiency: Ensuring that processes are cost-effective and provide the best return on investment. Identifying areas where costs can be reduced without compromising quality is crucial.
  • Quality Enhancement: Maintaining or improving the quality of outputs to meet or exceed customer expectations. Processes should be assessed for their ability to consistently produce high-quality results.
  • Innovation and Adaptability: Gauging the organization’s capacity to innovate and adapt to changing market conditions. This includes the flexibility of processes to incorporate new technologies or methodologies.
  • Risk Management: Evaluating how risks are managed within the business processes. This includes assessing the robustness of the process against internal and external shocks and compliance with relevant laws and regulations.
  • Customer Satisfaction: Measuring how processes impact customer satisfaction and loyalty. This involves understanding customer needs and expectations and how well the business delivers on these.

Let’s take underwriting as an example:

To determine the maturity of the “Underwriting” business capability with regard to the key value drivers of cost efficiency and risk management, you can pose specific questions that probe the depth, effectiveness, and integration of current practices. These questions should help evaluate whether the underwriting processes are optimized to meet the organization’s goals and regulatory requirements effectively. Here’s a breakout of the questions can be asked for two key drivers:

Image 8

Defining the Target State: Where We Want to Be

After the current state has been assessed, the next step is to define the target state—the future vision for both technology and business capabilities. The target state represents the desired end-goal of the transformation process, and it serves as a guide for building the roadmap that will take the organization from its current state to this future vision.

Aligning the Target State with Strategic Objectives:

  • The future state should be directly aligned with the organization’s long-term business goals. Whether the objective is to drive revenue growth, improve customer satisfaction, or increase operational efficiency, every element of the target state should contribute to these outcomes.
  • Key Performance Indicators (KPIs) should be established to measure success. Examples of KPIs include reducing operational costs by 20%, increasing the speed of customer onboarding by 30%, or improving customer retention by 15%. These metrics ensure that progress toward the target state is measurable and aligned with business priorities.

Here is an example of the evaluations of the current state and the projection of the target state of technology capabilities:

Also, here is an example of the evaluation of the Underwriting business capability, under Cost Efficiency and Risk Management key drivers, and the target state.

Strategic Steps to Achieve Target State:

To strategically achieve the target state, the organization should implement several key measures. First, establishing interim goals is crucial; these act as milestones that progressively enable the achievement of target capabilities. This phased approach not only facilitates continuous assessment but also allows for necessary adjustments along the transformation journey. Secondly, priority setting is essential. The organization must focus on areas identified in the maturity assessment as needing the most improvement—these are the domains where enhancements can drive significant business value. Finally, effective resource allocation is paramount. Resources should be strategically deployed to areas that demand immediate attention and have the potential to make the most significant impact on reaching the target state. Collectively, these strategies ensure a structured and effective progression towards the envisioned future capabilities.

Sequencing initiatives based on Prioritization

In any large-scale transformation, successful execution depends heavily on the ability to effectively sequence initiatives. For lenders, this is particularly important given the complexities of aligning technology upgrades, process changes, regulatory requirements, and customer experience improvements. Developing a prioritization framework based on a feasibility versus business value matrix, along with other key factors, allows for focused and efficient execution of transformation efforts.

Feasibility vs. Business Value: A Practical Framework for Prioritization

Before delving into the detailed analysis with the Feasibility vs. Business Value Matrix, it’s crucial to first conduct a prefilter step. This preliminary assessment serves to screen initiatives by answering key questions related to their strategic alignment, optimization potential, technical feasibility, potential return on investment, and compliance considerations. By addressing these questions, we can effectively filter out initiatives that are misaligned with our strategic goals or lack viability, ensuring only the most promising initiatives proceed to the detailed evaluation phase. This streamlined approach helps prioritize resources efficiently and focus on initiatives that offer tangible benefits.

Image 11

Feasibility Factors
Business Value Factors
  • Technical Complexity
    Determine how challenging it is to implement the technology required. Initiatives involving advanced technology integration, significant infrastructure upgrades, or large-scale system migrations are generally considered less feasible.
  • Resource Availability
    Assess whether the organization has the necessary resources—people, time, skills, and budget—to execute the initiative. High feasibility is associated with initiatives that require minimal additional resources or leverage existing capabilities.
  • Organizational Readiness
    Consider how prepared the organization is for the change. Initiatives that align well with existing processes, skills, and culture are more feasible, while those requiring significant change management or reskilling are less so.
  • Dependency and Complexity
    Analyze whether the initiative depends on the completion of other projects or if it introduces significant cross-functional dependencies. High feasibility is associated with standalone initiatives or those with manageable dependencies.
  • Strategic Alignment
    Determine how closely the initiative aligns with the organization’s strategic priorities, such as enhancing customer experience, driving growth, or improving compliance. Initiatives that directly support key business objectives score high in business value.
  • Revenue Impact
    Evaluate the potential for increased revenue or cost savings. High-value initiatives typically offer substantial returns, either by generating new revenue streams, optimizing operations, or reducing risks.
  • Customer Experience Enhancement
    Consider how the initiative will affect customer satisfaction and loyalty. Projects that improve user journeys, reduce friction, or introduce new customer-facing features tend to have a high business value.
  • Risk Mitigation and Compliance
    Assess whether the initiative addresses critical regulatory requirements or mitigates significant risks. Initiatives that help the organization avoid penalties, improve data security, or ensure compliance with evolving regulations often deliver substantial business value.
  • Competitive Advantage
    Examine the extent to which the initiative provides differentiation in the market. High-value projects are those that give the organization a competitive edge, whether by introducing innovative products, improving service delivery, or optimizing go-to-market strategies.

To effectively prioritize initiatives using the Feasibility vs. Business Value matrix, it is essential to assign specific weights to each factor within both the feasibility and business value dimensions. Not all factors carry the same importance for every organization. By assigning weights to each factor—such as technical complexity, resource availability, revenue impact, or customer experience enhancement—organizations can create a more nuanced and tailored evaluation. Once weights are established, each initiative can be assessed by scoring it against these weighted factors. This scoring process allows for a more objective comparison of initiatives, making it easier to identify which projects should be prioritized based on their overall feasibility and potential business value. This approach not only brings clarity to the decision-making process but also ensures that resources are allocated to initiatives that best align with strategic goals while considering practical constraints. Each of the initiatives will have a Business Case, where evaluation will be placed.

Image 12

Once the initiatives are evaluated, they can be plotted in a scatter chart graph, where the initiatives will be classified into three zones:

Image 13

Initiatives to Pursue, with high ease of implementation and high business value; Initiatives to Explore, with high ease of implementation OR high business value; and Initiatives to Hold Off, with low ease of implementation OR low business value. Using this matrix allows lenders to visually map and rank initiatives, ensuring that resources are directed toward efforts that provide the greatest return on investment (ROI) while aligning with strategic objectives.

Balancing Quick Wins with Strategic Priorities

While the matrix provides a clear view of where to start, balancing quick wins with strategic priorities is key to sustaining momentum throughout the transformation. Here’s how:

  • Phased Approach: Start with quick wins that deliver early benefits. These successes build credibility and buy-in for the broader transformation, making it easier to secure resources and stakeholder support for more complex initiatives.
  • Dependency Mapping: Before initiating any strategic priority, map dependencies to understand how one initiative impacts others. For example, deploying an integrated loan origination platform may depend on completing data integration projects first.

 

Image 14

  • Risk Management: Prioritize initiatives that mitigate risks early on, such as addressing regulatory compliance issues or upgrading outdated systems that could lead to business disruptions.

Creating a Transformation Roadmap: Sequencing and Milestones

Once initiatives are prioritized, a transformation roadmap can be developed to sequence the initiatives over time. The roadmap should include:

  • Phases and Milestones: Break the transformation into phases, each with clear milestones. For example, Phase 1 might focus on foundational upgrades like data integration, while Phase 2 could introduce customer-facing digital services.
  • Resource Allocation and Timeline Planning: Align resources, including personnel, technology, and budget, with the planned initiatives. Ensure timelines are realistic and consider potential delays or risks.
  • Cross-Functional Coordination: Transformation often requires collaboration across different business units, including IT, operations, finance, and customer service. The roadmap should define how these units interact at each phase and clarify roles and responsibilities.

Measuring Progress – Tracking Success of Large-Scale Transformations

Measuring progress and tracking the success of large-scale transformations are critical to ensuring that the organization’s strategic changes yield the desired outcomes. Effective measurement and tracking not only provide a clear view of how well the transformation initiatives are performing but also help identify areas that need adjustment or further improvement.

Image 15

Establishing Clear Metrics and KPIs

Establish specific, measurable, achievable, relevant, and time-bound (SMART) metrics that align with the strategic objectives of the transformation. These could include operational efficiency metrics, customer satisfaction scores, system uptime, and financial metrics like ROI and cost savings.

Develop KPIs that are tailored to the specific goals of each transformation initiative. For example, if a project aims to enhance digital customer interactions, relevant KPIs might include digital engagement rates and digital sales conversion rates.

Phased Measurement Approach

This structured approach details the progression of architectural and operational enhancements over a 24-month period, segmented into three phases: Crawl, Walk, and Run. Each phase is defined by specific metrics that track the maturity and effectiveness of initiatives, starting from basic compliance and engagement, advancing through process optimization and governance, and culminating in technological refinement and redundancy reduction. This method ensures that improvements are sustainable and strategically aligned, facilitating continuous advancement in both technology and business processes.

chart 16

Stakeholder feedback

Stakeholder feedback plays a pivotal role in refining the transformation process. Gathering insights from internal stakeholders, including employees and management, provides a direct line of sight into the operational impacts and challenges of the transformation efforts. This internal feedback is critical for identifying unforeseen issues and areas needing improvement. Similarly, actively engaging with customers to obtain their perspectives on how changes affect their experience helps in adjusting strategies to better meet consumer demands, particularly for customer-facing innovations.

Learning, Adaptation and Documentation

Incorporating continuous learning and adaptation ensures the long-term success of transformations.

Regular data analysis allows for real-time adjustments and fine-tuning of strategies.

Transparent reporting and thorough documentation build trust and align stakeholders.

Sharing success stories reinforces the transformation’s value.

A structured framework to measure progress through ‘Crawl’, ‘Walk’, and ‘Run’ phases helps achieve immediate goals while supporting sustainable growth and adaptation.

Conclusion: Securing Success Through Strategic Transformation

Large-scale transformations require meticulous planning, execution, and continuous oversight, aimed not only at achieving short-term goals but at reshaping the organization for long-term success. A well-structured transformation roadmap helps align strategic actions with broader business objectives, ensuring each step contributes meaningfully. By adopting a phased approach—crawling before walking, and walking before running—organizations can manage the pace of change, solidifying capabilities before moving on to more complex initiatives, reducing risk, and enhancing the likelihood of success.

Continuous progress reviews, real-time monitoring, and stakeholder feedback are crucial for keeping the transformation relevant and responsive. Fostering a culture of learning and adaptation ensures that insights from each phase are integrated into future strategies. Transparent communication and documentation further support this adaptive approach, keeping stakeholders informed and engaged. Ultimately, transformation success lies not just in completing initiatives, but in positioning the organization to meet future challenges and seize new opportunities, ensuring sustainable growth and evolution.

Ruben Armas
Technology Strategy, Process and Data Specialist – Advisory Services

Ruben is a technology strategist with a passion for turning complex challenges into streamlined solutions. With over 8 years of experience in process optimization and business intelligence, he has led automation, data analytics, digital innovation, and technology transformation projects across the Financial, Insurance, and Healthcare sectors, consistently delivering results that drive growth and efficiency.

Prithvi Srinivasan
Managing Director – Advisory Services

Prithvi Srinivasan, the Managing Director for Advisory Services, brings extensive expertise in technology strategy and digital transformation to drive mission-critical programs and advance financial institutions with AI and automation. His ability to transform complex strategies into successful transformations underscores his commitment to innovation and client value.

Financial Services
Advisory Services
Digital Transformation for Lenders
Articles

Lenders Transformation Playbook: Bridging Strategy and Execution

October 08, 2024
Learn More
Financial Services
AI
Artificial Intelligence
Articles

AI’s Mid-Market Makeover in Financial Services

October 07, 2024
Learn More
hero

Mid-sized financial services institutions (FIs) are facing significant challenges during this period of rapid technological change, particularly with the rise of artificial intelligence (AI). As customer expectations grow, smaller banks and lenders must stay competitive and responsive. Canada’s largest financial institutions are already advancing in AI, while many others remain in ‘observer’ mode, hesitant to invest and experiment. Yet, mid-sized FIs that adopt the right strategy have unique agility, allowing them to adapt swiftly and efficiently to technological disruptions—even more so than their larger counterparts.

Financial Services
Automation
BPI
Case Studies

Process Improvement and Automation Support the Mission at Trez Capital 🚀

July 29, 2024
Read Now
Trez Capital

Trez distributes capital based on very specific criteria. But with over 300 investments in their portfolio, they process numerous payment requests and deal with documents in varied data formats. They saw an opportunity to enhance efficiency, improve task management, and better utilize data insights for strategic decision-making.

Financial Services
AI
Digital Transformation
Articles

Align, Assemble, Assure: A Framework for AI Adoption

May 09, 2024
Learn More

An in-depth guide for adopting and scaling AI in the enterprise using actionable and measurable steps.

Financial Services
Advisory Services
Artificial Intelligence
Articles

Blanc Labs Welcomes Two New Leaders to Advance AI Innovation and Enhance Tech Advisory Services for Financial Institutions Across North America

May 07, 2024
Learn More

Blanc Labs and TCG Process have partnered to transform lending operations with innovative automation solutions, using the DocProStar platform to enhance efficiency, compliance, and customer satisfaction in the Canadian lending market.

Financial Services
Banking Automation
Enterprise Automation
Articles

Blanc Labs Partners with TCG Process to Integrate their Automation and Orchestration Platform and deliver Advanced Intelligent Workflow Automation to Financial Institutions

May 03, 2024
Learn More

Blanc Labs and TCG Process have partnered to transform lending operations with innovative automation solutions, using the DocProStar platform to enhance efficiency, compliance, and customer satisfaction in the Canadian lending market.

Financial Services
Business Process Improvement
Enterprise Automation
Articles

BPI in Banking and Financial Services in the US & Canada

April 23, 2024
Learn More
Business Process Improvement in Financial Services in US & Canada

Banking and financial services are changing fast. Moving from old, paper methods to new, digital ones is key to staying in business. It’s important to think about how business process improvement (BPI) can help.

Financial Services
Banking Automation
Business Process Improvement
Articles

Business Process Improvement vs Business Process Reengineering 

April 08, 2024
Learn More

Business process improvement vs. reengineering is a tough choice. In this guide, we help you choose between the two based on four factors.

Financial Services
Business Process Improvement
Articles

What is the role of a Business Process Improvement Specialist? 

February 16, 2024
Learn More
Business Process Improvement Specialist in Canada

A business process improvement specialist identifies bottlenecks and inefficiencies in your workflows, allowing you to focus efforts on automating the right processes.

Financial Services
API Management
Open Banking
Financial Services

Open Banking Technology Architecture Whitepaper

February 13, 2024
Learn More

We’ve developed this resource to help technical teams adopt an Open Banking approach by explaining a high-level solution architecture that is organization agnostic.

Insight
AI
Enterprise Automation
Articles

These are not your grandmother’s models: the impact of LLM’s on Document Processing

January 22, 2024
Learn More
These are not your grandmother’s models: the impact of Large Language Models on Document Processing

Explore the transformative influence of large language models (LLMs) on document processing in this insightful article. Discover how these cutting-edge models are reshaping traditional approaches, unlocking new possibilities in data analysis, and revolutionizing the way we interact with information.

Financial Services
Payments Innovation
Articles

Blanc Labs Welcomes Tom Purves as a Leader in Payments and Product Innovation

August 08, 2024
Learn More

Blanc Labs has teamed up with industry expert, Tom Purves to bring leadership and expanded capabilities to our clients as developments in real-time payments capabilities evolve the market.

Financial Services
IT Partners
IT Security & Compliance
Articles

Why Banks and Credit Unions Should Pick Technology Vendors with SOC 2 Type II Certification 

July 18, 2024
Learn More

Achieving SOC 2 Type II compliance is crucial for vendor partners in the financial sector, ensuring robust security, availability, processing integrity, confidentiality, and privacy. Discover why technical leaders are prioritizing SOC 2 Type II compliance to stay ahead in an increasingly regulated industry.

Financial Services
Advisory Services
Digital Transformation for Lenders
Articles

Lenders Transformation Playbook: Bridging Strategy and Execution

October 08, 2024
Learn More
Financial Services
AI
Artificial Intelligence
Articles

AI’s Mid-Market Makeover in Financial Services

October 07, 2024
Learn More
hero

Mid-sized financial services institutions (FIs) are facing significant challenges during this period of rapid technological change, particularly with the rise of artificial intelligence (AI). As customer expectations grow, smaller banks and lenders must stay competitive and responsive. Canada’s largest financial institutions are already advancing in AI, while many others remain in ‘observer’ mode, hesitant to invest and experiment. Yet, mid-sized FIs that adopt the right strategy have unique agility, allowing them to adapt swiftly and efficiently to technological disruptions—even more so than their larger counterparts.

Financial Services
Automation
BPI
Case Studies

Process Improvement and Automation Support the Mission at Trez Capital 🚀

July 29, 2024
Read Now
Trez Capital

Trez distributes capital based on very specific criteria. But with over 300 investments in their portfolio, they process numerous payment requests and deal with documents in varied data formats. They saw an opportunity to enhance efficiency, improve task management, and better utilize data insights for strategic decision-making.

Financial Services
AI
Digital Transformation
Articles

Align, Assemble, Assure: A Framework for AI Adoption

May 09, 2024
Learn More

An in-depth guide for adopting and scaling AI in the enterprise using actionable and measurable steps.

Financial Services
Advisory Services
Artificial Intelligence
Articles

Blanc Labs Welcomes Two New Leaders to Advance AI Innovation and Enhance Tech Advisory Services for Financial Institutions Across North America

May 07, 2024
Learn More

Blanc Labs and TCG Process have partnered to transform lending operations with innovative automation solutions, using the DocProStar platform to enhance efficiency, compliance, and customer satisfaction in the Canadian lending market.

Financial Services
Banking Automation
Enterprise Automation
Articles

Blanc Labs Partners with TCG Process to Integrate their Automation and Orchestration Platform and deliver Advanced Intelligent Workflow Automation to Financial Institutions

May 03, 2024
Learn More

Blanc Labs and TCG Process have partnered to transform lending operations with innovative automation solutions, using the DocProStar platform to enhance efficiency, compliance, and customer satisfaction in the Canadian lending market.

Financial Services
Business Process Improvement
Enterprise Automation
Articles

BPI in Banking and Financial Services in the US & Canada

April 23, 2024
Learn More
Business Process Improvement in Financial Services in US & Canada

Banking and financial services are changing fast. Moving from old, paper methods to new, digital ones is key to staying in business. It’s important to think about how business process improvement (BPI) can help.

Financial Services
Banking Automation
Business Process Improvement
Articles

Business Process Improvement vs Business Process Reengineering 

April 08, 2024
Learn More

Business process improvement vs. reengineering is a tough choice. In this guide, we help you choose between the two based on four factors.

Financial Services
Business Process Improvement
Articles

What is the role of a Business Process Improvement Specialist? 

February 16, 2024
Learn More
Business Process Improvement Specialist in Canada

A business process improvement specialist identifies bottlenecks and inefficiencies in your workflows, allowing you to focus efforts on automating the right processes.

Financial Services
API Management
Open Banking
Financial Services

Open Banking Technology Architecture Whitepaper

February 13, 2024
Learn More

We’ve developed this resource to help technical teams adopt an Open Banking approach by explaining a high-level solution architecture that is organization agnostic.

Insight
AI
Enterprise Automation
Articles

These are not your grandmother’s models: the impact of LLM’s on Document Processing

January 22, 2024
Learn More
These are not your grandmother’s models: the impact of Large Language Models on Document Processing

Explore the transformative influence of large language models (LLMs) on document processing in this insightful article. Discover how these cutting-edge models are reshaping traditional approaches, unlocking new possibilities in data analysis, and revolutionizing the way we interact with information.

Financial Services
Payments Innovation
Articles

Blanc Labs Welcomes Tom Purves as a Leader in Payments and Product Innovation

August 08, 2024
Learn More

Blanc Labs has teamed up with industry expert, Tom Purves to bring leadership and expanded capabilities to our clients as developments in real-time payments capabilities evolve the market.

Financial Services
IT Partners
IT Security & Compliance
Articles

Why Banks and Credit Unions Should Pick Technology Vendors with SOC 2 Type II Certification 

July 18, 2024
Learn More

Achieving SOC 2 Type II compliance is crucial for vendor partners in the financial sector, ensuring robust security, availability, processing integrity, confidentiality, and privacy. Discover why technical leaders are prioritizing SOC 2 Type II compliance to stay ahead in an increasingly regulated industry.

Financial Services
Advisory Services
Digital Transformation for Lenders
Articles

Lenders Transformation Playbook: Bridging Strategy and Execution

October 08, 2024
Learn More
Financial Services
AI
Artificial Intelligence
Articles

AI’s Mid-Market Makeover in Financial Services

October 07, 2024
Learn More
hero

Mid-sized financial services institutions (FIs) are facing significant challenges during this period of rapid technological change, particularly with the rise of artificial intelligence (AI). As customer expectations grow, smaller banks and lenders must stay competitive and responsive. Canada’s largest financial institutions are already advancing in AI, while many others remain in ‘observer’ mode, hesitant to invest and experiment. Yet, mid-sized FIs that adopt the right strategy have unique agility, allowing them to adapt swiftly and efficiently to technological disruptions—even more so than their larger counterparts.

Financial Services
Automation
BPI
Case Studies

Process Improvement and Automation Support the Mission at Trez Capital 🚀

July 29, 2024
Read Now
Trez Capital

Trez distributes capital based on very specific criteria. But with over 300 investments in their portfolio, they process numerous payment requests and deal with documents in varied data formats. They saw an opportunity to enhance efficiency, improve task management, and better utilize data insights for strategic decision-making.

Financial Services
AI
Digital Transformation
Articles

Align, Assemble, Assure: A Framework for AI Adoption

May 09, 2024
Learn More

An in-depth guide for adopting and scaling AI in the enterprise using actionable and measurable steps.

Financial Services
Advisory Services
Artificial Intelligence
Articles

Blanc Labs Welcomes Two New Leaders to Advance AI Innovation and Enhance Tech Advisory Services for Financial Institutions Across North America

May 07, 2024
Learn More

Blanc Labs and TCG Process have partnered to transform lending operations with innovative automation solutions, using the DocProStar platform to enhance efficiency, compliance, and customer satisfaction in the Canadian lending market.

Financial Services
Banking Automation
Enterprise Automation
Articles

Blanc Labs Partners with TCG Process to Integrate their Automation and Orchestration Platform and deliver Advanced Intelligent Workflow Automation to Financial Institutions

May 03, 2024
Learn More

Blanc Labs and TCG Process have partnered to transform lending operations with innovative automation solutions, using the DocProStar platform to enhance efficiency, compliance, and customer satisfaction in the Canadian lending market.

Financial Services
Business Process Improvement
Enterprise Automation
Articles

BPI in Banking and Financial Services in the US & Canada

April 23, 2024
Learn More
Business Process Improvement in Financial Services in US & Canada

Banking and financial services are changing fast. Moving from old, paper methods to new, digital ones is key to staying in business. It’s important to think about how business process improvement (BPI) can help.

Financial Services
Banking Automation
Business Process Improvement
Articles

Business Process Improvement vs Business Process Reengineering 

April 08, 2024
Learn More

Business process improvement vs. reengineering is a tough choice. In this guide, we help you choose between the two based on four factors.

Financial Services
Business Process Improvement
Articles

What is the role of a Business Process Improvement Specialist? 

February 16, 2024
Learn More
Business Process Improvement Specialist in Canada

A business process improvement specialist identifies bottlenecks and inefficiencies in your workflows, allowing you to focus efforts on automating the right processes.

Financial Services
API Management
Open Banking
Financial Services

Open Banking Technology Architecture Whitepaper

February 13, 2024
Learn More

We’ve developed this resource to help technical teams adopt an Open Banking approach by explaining a high-level solution architecture that is organization agnostic.

Insight
AI
Enterprise Automation
Articles

These are not your grandmother’s models: the impact of LLM’s on Document Processing

January 22, 2024
Learn More
These are not your grandmother’s models: the impact of Large Language Models on Document Processing

Explore the transformative influence of large language models (LLMs) on document processing in this insightful article. Discover how these cutting-edge models are reshaping traditional approaches, unlocking new possibilities in data analysis, and revolutionizing the way we interact with information.

Financial Services
Payments Innovation
Articles

Blanc Labs Welcomes Tom Purves as a Leader in Payments and Product Innovation

August 08, 2024
Learn More

Blanc Labs has teamed up with industry expert, Tom Purves to bring leadership and expanded capabilities to our clients as developments in real-time payments capabilities evolve the market.

Financial Services
IT Partners
IT Security & Compliance
Articles

Why Banks and Credit Unions Should Pick Technology Vendors with SOC 2 Type II Certification 

July 18, 2024
Learn More

Achieving SOC 2 Type II compliance is crucial for vendor partners in the financial sector, ensuring robust security, availability, processing integrity, confidentiality, and privacy. Discover why technical leaders are prioritizing SOC 2 Type II compliance to stay ahead in an increasingly regulated industry.

AI’s Mid-Market Makeover in Financial Services

Blanc Labs

AI’s Mid-Market Makeover in Financial Services

hero

Summary

Mid-sized financial services institutions (FIs) are facing significant challenges during this period of rapid technological change, particularly with the rise of artificial intelligence (AI). As customer expectations grow, smaller banks and lenders must stay competitive and responsive. Canada’s largest financial institutions are already advancing in AI, while many others remain in ‘observer’ mode, hesitant to invest and experiment. Yet, mid-sized FIs that adopt the right strategy have unique agility, allowing them to adapt swiftly and efficiently to technological disruptions—even more so than their larger counterparts.

This report explores how AI can tackle these challenges by transforming operations and generating substantial value across departments and business lines. We present a detailed approach for identifying, prioritizing, and implementing AI use cases, empowering mid-sized financial institutions to maintain a competitive edge in the fast-changing financial industry.

AI offers a major opportunity to enhance productivity, personalize customer interactions, improve decision-making, and create new business models. Successful AI integration requires a balanced, strategic approach that aligns with business goals and carefully evaluates potential risks.

Several challenges facing mid-sized financial services companies

In a time of rapid technological advancements and changing market conditions, mid-sized financial services companies are at a crossroads. They must meet rising customer expectations and deal with growing competition, presenting them with unique challenges that can either hinder their growth or drive them to seek new opportunities. Here are the top four challenges in this area:

Rising Customer Expectations

Competitive Pressures

Workforce Dynamics and People Constraints

Technology and AI Disruption

In this exploration, we look at how mid-sized FIs can use AI to overcome challenges and improve operations and customer engagement. In a following article, we will prioritize AI use cases to help these institutions make informed decisions. 

Creating Value Across All Departments

Amid the challenges faced by mid-sized financial firms, AI stands out as a key driver of progress. It enables transformative change, boosts operational efficiency, personalizes customer interactions, enhances decision-making, and fosters the development of new business models. By addressing these challenges, AI has the potential to create significant differentiation and impact every aspect of the business.

Here’s how AI can boost businesses:

Productivity Customer Decision making Business model
Increase Productivity and Efficiency Personalize Customer Experiences Augment Decision Making Invent New Business Models

Increase Productivity & Efficiency

AI-driven tools are revolutionizing operational workflows by streamlining processes and reducing manual intervention. Through intelligent document processing, regulatory compliance monitoring, and process automation, financial services firms can achieve unprecedented levels of productivity. By leveraging AI-powered copilots to augment humans in tasks like email management and coding modernization, organizations can optimize their day-to-day operations and enable their workforce to focus on higher-value activities.

Personalize Customer Experience

In today’s competitive market, personalization is key to customer satisfaction, and AI is at the forefront of this capability. With AI-powered sentiment analysis and recommendation engines, financial services companies can tailor services and products to meet individual customer needs more effectively. Furthermore, AI-driven customer engagement tools, from text-to-video communications to generative experiences, enable businesses to create seamless, personalized journeys that enhance customer loyalty and retention.

Augment Decision Making

AI augments decision-making processes by providing real-time, data-driven insights that enhance business strategies. From underwriting assistance to dynamic pricing and risk scoring, AI enables financial institutions and other businesses to make informed decisions faster and more accurately. By integrating AI in areas like fraud detection and smart financial advisory, companies can mitigate risks while optimizing their decision-making processes, leading to improved outcomes and competitive advantage.

Invent New Business Models

AI is not just about optimizing existing processes; it also drives the creation of entirely new business models. For example. the advent of AI-powered embedded finance and autonomous lending platforms demonstrates how AI can unlock new revenue streams and business opportunities. Through insights-as-a-service offerings and new partnership value streams, organizations can capitalize on their data, leverage AI to explore untapped markets, and invent business models that could disrupt traditional banks and lenders.

In a subsequent article, we’ll explore these topics in depth, breaking them down with detailed explanations and real-world use cases.

GenAI Value Creation: Aspiration vs. Reality

As financial institutions navigate the complex landscape of AI adoption, two distinct sentiments emerge, each underpinned by its own set of expectations and concerns.

On one hand, the optimists in the financial sector view GenAI as a revolutionary force capable of driving significant industry changes. This group is excited by the potential for:

True Hyper-personalization: Tailoring products and services to individual preferences and needs for every single customer.

Maximum Customer Experience: Leveraging conversational AI to improve service quality and user engagement across all channels.

Automation Everywhere: Implementing AI-driven processes to streamline operations and reduce the need for manual and paper-based work.

Giant Productivity Leaps: Increasing efficiency & effectiveness across all organizational levels, by augmenting employees to focus on the highest value activities.

Zero-Fraud Financial Systems: Using advanced AI algorithms to detect and prevent fraud in real-time.

These optimists are encouraged by projections suggesting that GenAI could unlock over $1 trillion in banking revenue by 2030[1], signaling a major shift in how financial services are structured and delivered. Moreover, 75% of executives anticipate that GenAI will drive disruptive changes within the industry over the next three years.[2]

Conversely, the skeptics approach GenAI with caution, emphasizing the potential pitfalls over the promised perks. Their concerns include:

Boom & Bust Cycles: Risk of overinvestments driving unsustainable growth, low ROI, and financial problems down the road, as was the case with several technology waves in the past decades.

Reliability Issues: Worries about the limitations and flaws of new GenAI technologies, and their impact on mission-critical financial processes where the room for error is very small.

Regulatory Constraints: Challenges to AI growth due to evolving, stringent regulations across local and federal jurisdictions in financial services.

Security and Privacy Risks: Increased risk of cyber threats, data privacy concerns, and potential bias as AI continues to handle and process more sensitive information on customers and employees.

Overpromise, Underdeliver: Many worry about the prospect of AI failing to meet the current hype, and see in it an over-marketed tech that is less revolutionary that it seems.

Interestingly, despite the much touted prospects of AI, a significant 66% of executives surveyed express ambivalence or dissatisfaction with their organization’s progress in AI integration, highlighting a gap between expectation and execution.[3]

Embracing AI Optimism with Prudence

Broadening Our AI Understanding
Evaluating AI’s Imperfections
Looking Beyond the Present
Avoiding Common Pitfalls

AI encompasses a wide array of tools and capabilities, including battle-tested solutions based on both predictive and generative AI. Recognizing the full range of AI technologies will enable us to leverage the most effective solutions for our specific needs.

Like humans, AI is not infallible—it makes mistakes. However, combining human oversight with GenAI’s capabilities could enhance our decision-making processes beyond what’s achievable by human efforts alone.

The rapid progress of AI means what’s cutting-edge today might be outdated tomorrow. We should consider the potential of future AI developments, much like how each model (e.g. GPT-4o) has expanded on the capabilities of its predecessors. Looking into the not-so-distant future, imagine what GPT-14 would be capable of vs. GPT-4.

AI isn’t a one-size-fits-all solution, and should not be treated solely as a technology problem. Rather than adopting AI for its own sake, it’s vital to focus on strategic AI use cases that align with our specific business goals.

The Spectrum of AI Adoption in Financial Services: Where Companies Stand

In the financial services sector, firms vary significantly in their approach and adoption of artificial intelligence. This diversity is best understood through four distinct groups: Observers, Experimenters, Implementers, and Innovators. Each category defines the group’s current engagement with AI technologies and also underscores its strategic vision and operational readiness for future disruptions.

 

new-chart

Observers

Many observers are choosing to wait for large, proven returns on investment (ROI) and clearer technology convergence before diving into AI. While this cautious stance lets them learn from early adopters, it risks putting these FIs behind competitors who are seizing AI-driven advantages now.

Experimenters

Experimenting FIs are cautiously dipping their toes into AI through small-scale projects and pilot programs, testing the waters to gauge capabilities and potential benefits without diving into full-scale implementation. This approach nurtures a culture of learning and adaptability, but without a comprehensive strategy, its impact and scalability may remain limited.

Implementers

Implementers are more advanced in their AI journey, embedding AI systems within specific departments and processes to generate tangible business value. These FIs are building significant AI capabilities and gaining advantages in differentiation and operational efficiency. However, their challenge is to scale these benefits across the entire organization to prevent siloed success and ensure widespread impact.

Innovators

Innovators are embedding comprehensive AI strategies across their business models, reshaping their operations and potentially revolutionizing the financial services industry for a powerful competitive edge. However, this ambitious approach comes with heightened risks and substantial investments, making the journey to success both challenging and uncertain.

Competitive AI Landscape: Lessons from Canada’s Big Financial Institutions 

As mid-sized FIs consider the question of AI, it’s crucial to recognize the significant strides made by Canada’s largest banks. Notably, three of the Big Five banks are ranked among the top ten globally for AI maturity [4], showcasing their leadership in using AI to transform financial services. Here’s how some of these banks are creating competitive advantage with AI: 

Ranked among the top three globally for AI maturity, RBC owns Borealis AI, a dedicated research and development institute. It has launched AI-driven products like Aiden for trading and NOMI for personal finance management, and utilizes AI to enhance internal processes and modernize legacy systems. 
With its AI R&D center, Layer 6, TD has grown its AI talent to over 200 professionals and is developing over 50 AI solutions across its business lines. It is the leading patent filer in AI among Canadian FIs (450+ AI-related patent filings) and uses predictive AI models to pre-approve mortgages in seconds, demonstrating a strong commitment to integrating AI across its operations.[5]
Winner of the Best Gen-AI Initiative by The Digital Banker 2024, CIBC has developed its own custom built ‘CIBA AI system to improve productivity and enable staff to focus on high-value activities. The introduction of tools like GitHub CoPilot boosts developer efficiency, and the bank plans to significantly expand its data and AI workforce by hiring 200+ related roles over the next 12 months.[6]
Scotiabank’s customer-facing AI chatbot handles 40% of queries with a 90% accuracy rate and has significantly sped up agent training. The bank has also launched a global AI platform to enhance customer insights across all touchpoints and employs large language models to improve employee experiences.[7]
BMO considers AI integral to its bank strategy. Its mobile app provides AI-driven personalized insights to improve customer engagement, its ‘Digital Workbench’ offers real-time analytics for commercial clients, and its contact centers’ service quality is boosted through NLP tech. Last year, it upskilled over 3,500 employees through learning & development programs centered on AI and cloud. Externally, BMO demonstrated commitment to AI by sponsoring the ‘Next AI accelerator.[8]

 

Strategic Imperative for Mid-Sized FIs 

The AI advancements by Canada’s largest banks illustrate a clear trend: AI is not just a technological upgrade but a strategic necessity. Mid-sized FIs must recognize the need to keep pace and innovate beyond traditional technologies and models. Key actions for staying ahead include: 

  1. Accelerated AI Adoption and Scale-Up: Mid-sized FIs need to prioritize their own AI roadmaps and seek opportunities to rapidly scale adoption of AI solutions across various departments. 
  2. Target High-Value AI Applications: Focus on areas where AI can quickly deliver the most significant returns, such as improving customer experience and increasing operational efficiency – before exploring how AI can enable the development of new financial products & services. 
  3. Invest in AI Talent and Partnerships: Expand internal capabilities by hiring AI specialists and consider partnerships with AI tech & service providers to tap into external expertise. 
  4. Monitor and Adapt Best Practices: Keep a close eye on industry leaders and continuously adapt their AI best practices to suit smaller scale operations and unique market demands. 

By embracing these strategies, mid-sized FIs can respond to the competitive pressures exerted by larger banks and carve out their own niche in the rapidly evolving financial landscape. 

Competitive AI Landscape: Lessons from Canada’s Big Financial Institutions 

As mid-sized FIs consider the question of AI, it’s crucial to recognize the significant strides made by Canada’s largest banks. Notably, three of the Big Five banks are ranked among the top ten globally for AI maturity [4], showcasing their leadership in using AI to transform financial services. Here’s how some of these banks are creating competitive advantage with AI: 

Ranked among the top three globally for AI maturity, RBC owns Borealis AI, a dedicated research institute. It has launched AI-driven products like Aiden for trading and NOMI for personal finance management, and utilizes AI to enhance internal processes and modernize legacy systems. 

With its AI R&D center, Layer 6, TD has grown its AI talent to over 200 professionals and is developing over 50 AI solutions across its business lines. It is the leading patent filer in AI among  Canadian FIs (450+ AI-related patent filings) and uses predictive AI models to pre-approve mortgages in seconds, demonstrating a strong commitment to integrating AI across its operations.[5]

Winner of the Best Gen-AI Initiative by The Digital Banker 2024, CIBC has developed its own custom built ‘CIBA AI system to improve productivity and enable staff to focus on high-value activities. The introduction of tools like GitHub CoPilot boosts developer efficiency, and the bank plans to significantly expand its data and AI workforce by hiring 200+ related roles over the next 12 months.[6]

Scotiabank’s customer-facing AI chatbot handles 40% of queries with a 90% accuracy rate and has significantly sped up agent training. The bank has also launched a global AI platform to enhance customer insights across all touchpoints and employs large language models to improve employee experiences.[7]

BMO considers AI integral to its bank strategy. Its mobile app provides AI-driven personalized insights to improve customer engagement, its ‘Digital Workbench’ offers real-time analytics for commercial clients, and its contact centers’ service quality is boosted through NLP tech. Last year, it upskilled over 3,500 employees through learning & development programs centered on AI and cloud. Externally, BMO demonstrated commitment to AI by sponsoring the ‘Next AI accelerator.[8]

 

Strategic Imperative for Mid-Sized FIs 

The AI advancements by Canada’s largest banks illustrate a clear trend: AI is not just a technological upgrade but a strategic necessity. Mid-sized FIs must feel the urgency to not only catch up but also innovate beyond traditional models to remain competitive. The following strategic actions are recommended: 

  1. Rapid AI Adoption and Scale-Up: Mid-sized FIs need to prioritize AI adoption and seek opportunities to scale AI solutions across their operations quickly. 
  2. Focus on High-Impact AI Applications: Identify areas where AI can create significant value, such as enhancing customer experience, improving operational efficiency, and developing new financial products. 
  3. Invest in AI Talent and Partnerships: Expand internal capabilities by hiring AI specialists and consider partnerships with AI tech & services firms to leverage external expertise. 
  4. Monitor and Adapt Best Practices: Keep a close eye on industry leaders and continuously adapt their AI best practices to suit smaller scale operations and unique market demands.

 

By embracing these strategies, mid-sized FIs can respond to the competitive pressures exerted by larger banks and carve out their own niche in the rapidly evolving financial landscape. 

Conclusion

The financial services industry is at a turning point, especially for mid-sized FIs. Adopting AI is no longer a choice but a necessity to remain competitive and meet the growing demands of the market. With extensive experience working with mid-sized FIs, Blanc Labs recognizes the transformative potential AI brings—from boosting operational efficiency to tailoring customer experiences and introducing new business models. As technology continues to advance at a rapid pace, it’s crucial that these institutions take decisive action to leverage these tools. By embracing AI now, your organization can gain a competitive advantage, fuel growth, and position itself for long-term success in an increasingly fast-paced industry. 

The next article in this series will explore real-world examples of AI in action within financial services and offer a structured approach to identifying and prioritizing the most impactful AI applications for mid-sized FIs.

Latest Insights

Financial Services
Advisory Services
Digital Transformation for Lenders
Articles

Lenders Transformation Playbook: Bridging Strategy and Execution

October 08, 2024
Learn More
Financial Services
AI
Artificial Intelligence
Articles

AI’s Mid-Market Makeover in Financial Services

October 07, 2024
Learn More
hero

Mid-sized financial services institutions (FIs) are facing significant challenges during this period of rapid technological change, particularly with the rise of artificial intelligence (AI). As customer expectations grow, smaller banks and lenders must stay competitive and responsive. Canada’s largest financial institutions are already advancing in AI, while many others remain in ‘observer’ mode, hesitant to invest and experiment. Yet, mid-sized FIs that adopt the right strategy have unique agility, allowing them to adapt swiftly and efficiently to technological disruptions—even more so than their larger counterparts.

Financial Services
Automation
BPI
Case Studies

Process Improvement and Automation Support the Mission at Trez Capital 🚀

July 29, 2024
Read Now
Trez Capital

Trez distributes capital based on very specific criteria. But with over 300 investments in their portfolio, they process numerous payment requests and deal with documents in varied data formats. They saw an opportunity to enhance efficiency, improve task management, and better utilize data insights for strategic decision-making.

Financial Services
AI
Digital Transformation
Articles

Align, Assemble, Assure: A Framework for AI Adoption

May 09, 2024
Learn More

An in-depth guide for adopting and scaling AI in the enterprise using actionable and measurable steps.

Financial Services
Advisory Services
Artificial Intelligence
Articles

Blanc Labs Welcomes Two New Leaders to Advance AI Innovation and Enhance Tech Advisory Services for Financial Institutions Across North America

May 07, 2024
Learn More

Blanc Labs and TCG Process have partnered to transform lending operations with innovative automation solutions, using the DocProStar platform to enhance efficiency, compliance, and customer satisfaction in the Canadian lending market.

Financial Services
Banking Automation
Enterprise Automation
Articles

Blanc Labs Partners with TCG Process to Integrate their Automation and Orchestration Platform and deliver Advanced Intelligent Workflow Automation to Financial Institutions

May 03, 2024
Learn More

Blanc Labs and TCG Process have partnered to transform lending operations with innovative automation solutions, using the DocProStar platform to enhance efficiency, compliance, and customer satisfaction in the Canadian lending market.

Financial Services
Business Process Improvement
Enterprise Automation
Articles

BPI in Banking and Financial Services in the US & Canada

April 23, 2024
Learn More
Business Process Improvement in Financial Services in US & Canada

Banking and financial services are changing fast. Moving from old, paper methods to new, digital ones is key to staying in business. It’s important to think about how business process improvement (BPI) can help.

Financial Services
Banking Automation
Business Process Improvement
Articles

Business Process Improvement vs Business Process Reengineering 

April 08, 2024
Learn More

Business process improvement vs. reengineering is a tough choice. In this guide, we help you choose between the two based on four factors.

Financial Services
Business Process Improvement
Articles

What is the role of a Business Process Improvement Specialist? 

February 16, 2024
Learn More
Business Process Improvement Specialist in Canada

A business process improvement specialist identifies bottlenecks and inefficiencies in your workflows, allowing you to focus efforts on automating the right processes.

Financial Services
API Management
Open Banking
Financial Services

Open Banking Technology Architecture Whitepaper

February 13, 2024
Learn More

We’ve developed this resource to help technical teams adopt an Open Banking approach by explaining a high-level solution architecture that is organization agnostic.

Insight
AI
Enterprise Automation
Articles

These are not your grandmother’s models: the impact of LLM’s on Document Processing

January 22, 2024
Learn More
These are not your grandmother’s models: the impact of Large Language Models on Document Processing

Explore the transformative influence of large language models (LLMs) on document processing in this insightful article. Discover how these cutting-edge models are reshaping traditional approaches, unlocking new possibilities in data analysis, and revolutionizing the way we interact with information.

Financial Services
API Management
Digital Banking
Articles

Finding the right API Management Platform

November 03, 2022
Learn More
Financial Services
API Management
Digital Banking
Articles

5 Factors to Evaluate Open Banking Readiness in Canada

September 28, 2022
Learn More
Financial Services
API Management
Digital Banking
Articles

Open Banking in Canada: How Banks and Customers Can Benefit

September 15, 2022
Learn More
Financial Services
API Management
Digital Banking
Articles

4 Ways APIs Can Improve Your Bank

June 08, 2022
Learn More
Financial Services
Banking Automation
Digital Transformation
Articles

Challenges in Digital Lending

May 12, 2022
Learn More
Financial Services
Advisory Services
Digital Transformation for Lenders
Articles

Lenders Transformation Playbook: Bridging Strategy and Execution

October 08, 2024
Learn More
Financial Services
AI
Artificial Intelligence
Articles

AI’s Mid-Market Makeover in Financial Services

October 07, 2024
Learn More
hero

Mid-sized financial services institutions (FIs) are facing significant challenges during this period of rapid technological change, particularly with the rise of artificial intelligence (AI). As customer expectations grow, smaller banks and lenders must stay competitive and responsive. Canada’s largest financial institutions are already advancing in AI, while many others remain in ‘observer’ mode, hesitant to invest and experiment. Yet, mid-sized FIs that adopt the right strategy have unique agility, allowing them to adapt swiftly and efficiently to technological disruptions—even more so than their larger counterparts.

Financial Services
Automation
BPI
Case Studies

Process Improvement and Automation Support the Mission at Trez Capital 🚀

July 29, 2024
Read Now
Trez Capital

Trez distributes capital based on very specific criteria. But with over 300 investments in their portfolio, they process numerous payment requests and deal with documents in varied data formats. They saw an opportunity to enhance efficiency, improve task management, and better utilize data insights for strategic decision-making.

Financial Services
AI
Digital Transformation
Articles

Align, Assemble, Assure: A Framework for AI Adoption

May 09, 2024
Learn More

An in-depth guide for adopting and scaling AI in the enterprise using actionable and measurable steps.

Financial Services
Advisory Services
Artificial Intelligence
Articles

Blanc Labs Welcomes Two New Leaders to Advance AI Innovation and Enhance Tech Advisory Services for Financial Institutions Across North America

May 07, 2024
Learn More

Blanc Labs and TCG Process have partnered to transform lending operations with innovative automation solutions, using the DocProStar platform to enhance efficiency, compliance, and customer satisfaction in the Canadian lending market.

Financial Services
Banking Automation
Enterprise Automation
Articles

Blanc Labs Partners with TCG Process to Integrate their Automation and Orchestration Platform and deliver Advanced Intelligent Workflow Automation to Financial Institutions

May 03, 2024
Learn More

Blanc Labs and TCG Process have partnered to transform lending operations with innovative automation solutions, using the DocProStar platform to enhance efficiency, compliance, and customer satisfaction in the Canadian lending market.

Financial Services
Business Process Improvement
Enterprise Automation
Articles

BPI in Banking and Financial Services in the US & Canada

April 23, 2024
Learn More
Business Process Improvement in Financial Services in US & Canada

Banking and financial services are changing fast. Moving from old, paper methods to new, digital ones is key to staying in business. It’s important to think about how business process improvement (BPI) can help.

Financial Services
Banking Automation
Business Process Improvement
Articles

Business Process Improvement vs Business Process Reengineering 

April 08, 2024
Learn More

Business process improvement vs. reengineering is a tough choice. In this guide, we help you choose between the two based on four factors.

Financial Services
Business Process Improvement
Articles

What is the role of a Business Process Improvement Specialist? 

February 16, 2024
Learn More
Business Process Improvement Specialist in Canada

A business process improvement specialist identifies bottlenecks and inefficiencies in your workflows, allowing you to focus efforts on automating the right processes.

Financial Services
API Management
Open Banking
Financial Services

Open Banking Technology Architecture Whitepaper

February 13, 2024
Learn More

We’ve developed this resource to help technical teams adopt an Open Banking approach by explaining a high-level solution architecture that is organization agnostic.

Insight
AI
Enterprise Automation
Articles

These are not your grandmother’s models: the impact of LLM’s on Document Processing

January 22, 2024
Learn More
These are not your grandmother’s models: the impact of Large Language Models on Document Processing

Explore the transformative influence of large language models (LLMs) on document processing in this insightful article. Discover how these cutting-edge models are reshaping traditional approaches, unlocking new possibilities in data analysis, and revolutionizing the way we interact with information.

Financial Services
API Management
Digital Banking
Articles

Finding the right API Management Platform

November 03, 2022
Learn More
Financial Services
API Management
Digital Banking
Articles

5 Factors to Evaluate Open Banking Readiness in Canada

September 28, 2022
Learn More
Financial Services
API Management
Digital Banking
Articles

Open Banking in Canada: How Banks and Customers Can Benefit

September 15, 2022
Learn More
Financial Services
API Management
Digital Banking
Articles

4 Ways APIs Can Improve Your Bank

June 08, 2022
Learn More
Financial Services
Banking Automation
Digital Transformation
Articles

Challenges in Digital Lending

May 12, 2022
Learn More
Financial Services
Advisory Services
Digital Transformation for Lenders
Articles

Lenders Transformation Playbook: Bridging Strategy and Execution

October 08, 2024
Learn More
Financial Services
AI
Artificial Intelligence
Articles

AI’s Mid-Market Makeover in Financial Services

October 07, 2024
Learn More
hero

Mid-sized financial services institutions (FIs) are facing significant challenges during this period of rapid technological change, particularly with the rise of artificial intelligence (AI). As customer expectations grow, smaller banks and lenders must stay competitive and responsive. Canada’s largest financial institutions are already advancing in AI, while many others remain in ‘observer’ mode, hesitant to invest and experiment. Yet, mid-sized FIs that adopt the right strategy have unique agility, allowing them to adapt swiftly and efficiently to technological disruptions—even more so than their larger counterparts.

Financial Services
Automation
BPI
Case Studies

Process Improvement and Automation Support the Mission at Trez Capital 🚀

July 29, 2024
Read Now
Trez Capital

Trez distributes capital based on very specific criteria. But with over 300 investments in their portfolio, they process numerous payment requests and deal with documents in varied data formats. They saw an opportunity to enhance efficiency, improve task management, and better utilize data insights for strategic decision-making.

Financial Services
AI
Digital Transformation
Articles

Align, Assemble, Assure: A Framework for AI Adoption

May 09, 2024
Learn More

An in-depth guide for adopting and scaling AI in the enterprise using actionable and measurable steps.

Financial Services
Advisory Services
Artificial Intelligence
Articles

Blanc Labs Welcomes Two New Leaders to Advance AI Innovation and Enhance Tech Advisory Services for Financial Institutions Across North America

May 07, 2024
Learn More

Blanc Labs and TCG Process have partnered to transform lending operations with innovative automation solutions, using the DocProStar platform to enhance efficiency, compliance, and customer satisfaction in the Canadian lending market.

Financial Services
Banking Automation
Enterprise Automation
Articles

Blanc Labs Partners with TCG Process to Integrate their Automation and Orchestration Platform and deliver Advanced Intelligent Workflow Automation to Financial Institutions

May 03, 2024
Learn More

Blanc Labs and TCG Process have partnered to transform lending operations with innovative automation solutions, using the DocProStar platform to enhance efficiency, compliance, and customer satisfaction in the Canadian lending market.

Financial Services
Business Process Improvement
Enterprise Automation
Articles

BPI in Banking and Financial Services in the US & Canada

April 23, 2024
Learn More
Business Process Improvement in Financial Services in US & Canada

Banking and financial services are changing fast. Moving from old, paper methods to new, digital ones is key to staying in business. It’s important to think about how business process improvement (BPI) can help.

Financial Services
Banking Automation
Business Process Improvement
Articles

Business Process Improvement vs Business Process Reengineering 

April 08, 2024
Learn More

Business process improvement vs. reengineering is a tough choice. In this guide, we help you choose between the two based on four factors.

Financial Services
Business Process Improvement
Articles

What is the role of a Business Process Improvement Specialist? 

February 16, 2024
Learn More
Business Process Improvement Specialist in Canada

A business process improvement specialist identifies bottlenecks and inefficiencies in your workflows, allowing you to focus efforts on automating the right processes.

Financial Services
API Management
Open Banking
Financial Services

Open Banking Technology Architecture Whitepaper

February 13, 2024
Learn More

We’ve developed this resource to help technical teams adopt an Open Banking approach by explaining a high-level solution architecture that is organization agnostic.

Insight
AI
Enterprise Automation
Articles

These are not your grandmother’s models: the impact of LLM’s on Document Processing

January 22, 2024
Learn More
These are not your grandmother’s models: the impact of Large Language Models on Document Processing

Explore the transformative influence of large language models (LLMs) on document processing in this insightful article. Discover how these cutting-edge models are reshaping traditional approaches, unlocking new possibilities in data analysis, and revolutionizing the way we interact with information.

Financial Services
API Management
Digital Banking
Articles

Finding the right API Management Platform

November 03, 2022
Learn More
Financial Services
API Management
Digital Banking
Articles

5 Factors to Evaluate Open Banking Readiness in Canada

September 28, 2022
Learn More
Financial Services
API Management
Digital Banking
Articles

Open Banking in Canada: How Banks and Customers Can Benefit

September 15, 2022
Learn More
Financial Services
API Management
Digital Banking
Articles

4 Ways APIs Can Improve Your Bank

June 08, 2022
Learn More
Financial Services
Banking Automation
Digital Transformation
Articles

Challenges in Digital Lending

May 12, 2022
Learn More

Blanc Labs Welcomes Tom Purves as a Leader in Payments and Product Innovation

Financial Services | Payments Innovation

Blanc Labs Welcomes Tom Purves as a Leader in Payments and Product Innovation

August 8, 2024

August 8, 2024 (Toronto, ON) 

We’re thrilled to announce that Thomas Purves has come onboard as Advisor & Consulting Lead, Payments Innovation. With over 20 years of leadership experience in global-scale payments, digital banking, and fintech, Tom brings a wealth of knowledge and expertise to our team. His extensive background, which includes co-founding LaHave.io, a US-based consultancy specializing in fractional CxO engagements and fintech advisory, establishes him as a leading figure in the payments industry.

We’re particularly excited about Tom’s contributions to the development of real-time rails in Canada and the broader landscape of payment innovation in 2024-2025. Tom played a critical role in developing Canada’s first real-time payment rails, as the original product manager of both Interac E-transfers and Visa Direct in Canada.

In that capacity, Tom enabled clients such as Bank of America, PNC, Navy Federal, Q2, Nium, and Marqeta to transform card issuing into modern digital-first customer experiences. For instance, in a case study with Redwood Credit Union, these efforts led to an 83% growth in transaction rates within the first three days of instant credit card issuance or re-issuance to customers’ mobile devices, along with an average of 19 additional card transactions per customer.

During his tenure at Visa, Tom also led the global digital wallet product line, designing and commercializing high-converting payment SDKs for 50 million users across hundreds of thousands of merchants in 25 countries. His work spanned partnerships with renowned brands like Starbucks, United Airlines, Walmart, PizzaHut, and Uber, demonstrating his ability to scale digital payment solutions globally. Tom has also authored more than 80 US and international patents in payments, digital wallets and tokenization technologies.

In his current consulting practice as well as in his recent role as Chief Product Officer and Chief Technology Officer of the US fintech company MainStreet.com, Tom has been spearheading AI-transformation in combination with Open Banking and embedded finance. For example, at MainStreet.com Tom enabled thousands of US businesses to quickly connect, classify, and process their purchasing and payroll expenses, unlocking billions in tax credits and procurement savings.

With Tom on board, Blanc Labs is poised to lead the charge in payment innovation for our clients.  We look forward to the transformative impact he’ll bring to our clients and the industry at large. Welcome, Tom!

Interested in speaking with Tom?  Send him a note thomasp@blanclabs.com

 

 

 

Learn More About Our Payments Expertise

Process Improvement and Automation Support the Mission at Trez Capital 🚀

 

Case Studies

Process Improvement and Automation Support the Mission at Trez Capital 🚀

Blanc Labs, Trez Capital and Microsoft Azure logos

Summary

As a leading North American real estate lending firm, investment management, loan accounting, and loan disbursements are at the core of Trez Capital’s operations. The firm distributes capital based on very specific criteria. But with over 300 investments in one quarter alone, they process numerous payment requests and deal with documents in varied data formats.

Trez was relying on manual processes and email for document handling of mission critical workflow which offered an opportunity to enhance security and reduce disbursement cycle times, thereby improving efficiency and customer satisfaction.

people working
people working
people working
98.7%
On-time Payments with New Solution
39.8%
Fewer Approvals Required with Process Redesign
33.3%
Reduction in Cycle Time
45%
Fewer Errors in Payments Workflow

Our Vision for Streamlined Payment Processes

Working with Trez team members, we developed a vision for the future of payment disbursement for real estate investment firms. We are focused on solutions that prioritize user-friendliness, easy customization and configuration, automated workflows, and seamless collaboration with external parties.

Trez Solution Approach

Joel Oakden
VP, Chief Accounting Officer

Blanc Labs delivered a quality solution in a short period of time. They worked closely with our team and were able to adapt to our changing timelines. They have been very supportive in the post-deployment process too. I wouldn’t hesitate to recommend Blanc Labs.

Redesigning the Payments Approval Process

The solution involved a comprehensive redesign of the approval process, starting with interviews with senior stakeholders to understand their views on the current process and its operational impact. We then created various payment scenarios, considering factors like amount, bank, and wire templates, to assess the effectiveness of multilevel approvals.

Aligning with Trez’s Enterprise Technology Strategy and Solution Approach

As a leading Microsoft partner to Financial Services firms, Blanc Labs used cutting-edge enterprise tools such as Power Automate, Power Apps and Power BI to deliver streamlined business processes, enhance workflow efficiency, and reduce manual interventions in the new loan payments solution for Trez.

The Trez Capital Payments solution utilizes Microsoft Power Apps and Power Automate to create a centralized platform that simplifies the management of payment requests, approvals, and communication. Microsoft Power Apps enables rapid application development through a low-code/no-code environment, focusing on functionalities like loan information management, and request and approval workflows.

Microsoft Power Apps provides a rapid low-code/no-code solution for application development, encompassing key functionalities such as loan information management, request and approval creation, and settings configuration.

High Level Payments Solution Architecture

Trez solution architecture

Adopting a Data Driven Approach to Continuous Improvement

For enhanced performance management, we’ve implemented a robust dashboard using Microsoft PowerBI, empowering Trez Capital with comprehensive insights into their processes and performance

The dashboard showcases a range of Key Performance Indicators (KPIs) derived from activity data within the tool. These include generic transactional metrics such as the number of requests processed per day and the total amount of payments processed per day. In addition to these, the dashboard provides process quality KPIs like the cycle time for processing payments and the percentage of payments circled back to initiators.

 

Process Improvement and Automation Support with Blanc Labs

Latest Insights

Financial Services
Advisory Services
Digital Transformation for Lenders
Articles

Lenders Transformation Playbook: Bridging Strategy and Execution

October 08, 2024
Learn More
Financial Services
AI
Artificial Intelligence
Articles

AI’s Mid-Market Makeover in Financial Services

October 07, 2024
Learn More
hero

Mid-sized financial services institutions (FIs) are facing significant challenges during this period of rapid technological change, particularly with the rise of artificial intelligence (AI). As customer expectations grow, smaller banks and lenders must stay competitive and responsive. Canada’s largest financial institutions are already advancing in AI, while many others remain in ‘observer’ mode, hesitant to invest and experiment. Yet, mid-sized FIs that adopt the right strategy have unique agility, allowing them to adapt swiftly and efficiently to technological disruptions—even more so than their larger counterparts.

Financial Services
Automation
BPI
Case Studies

Process Improvement and Automation Support the Mission at Trez Capital 🚀

July 29, 2024
Read Now
Trez Capital

Trez distributes capital based on very specific criteria. But with over 300 investments in their portfolio, they process numerous payment requests and deal with documents in varied data formats. They saw an opportunity to enhance efficiency, improve task management, and better utilize data insights for strategic decision-making.

Financial Services
AI
Digital Transformation
Articles

Align, Assemble, Assure: A Framework for AI Adoption

May 09, 2024
Learn More

An in-depth guide for adopting and scaling AI in the enterprise using actionable and measurable steps.

Financial Services
Advisory Services
Artificial Intelligence
Articles

Blanc Labs Welcomes Two New Leaders to Advance AI Innovation and Enhance Tech Advisory Services for Financial Institutions Across North America

May 07, 2024
Learn More

Blanc Labs and TCG Process have partnered to transform lending operations with innovative automation solutions, using the DocProStar platform to enhance efficiency, compliance, and customer satisfaction in the Canadian lending market.

Financial Services
Banking Automation
Enterprise Automation
Articles

Blanc Labs Partners with TCG Process to Integrate their Automation and Orchestration Platform and deliver Advanced Intelligent Workflow Automation to Financial Institutions

May 03, 2024
Learn More

Blanc Labs and TCG Process have partnered to transform lending operations with innovative automation solutions, using the DocProStar platform to enhance efficiency, compliance, and customer satisfaction in the Canadian lending market.

Financial Services
Business Process Improvement
Enterprise Automation
Articles

BPI in Banking and Financial Services in the US & Canada

April 23, 2024
Learn More
Business Process Improvement in Financial Services in US & Canada

Banking and financial services are changing fast. Moving from old, paper methods to new, digital ones is key to staying in business. It’s important to think about how business process improvement (BPI) can help.

Financial Services
Banking Automation
Business Process Improvement
Articles

Business Process Improvement vs Business Process Reengineering 

April 08, 2024
Learn More

Business process improvement vs. reengineering is a tough choice. In this guide, we help you choose between the two based on four factors.

Financial Services
Business Process Improvement
Articles

What is the role of a Business Process Improvement Specialist? 

February 16, 2024
Learn More
Business Process Improvement Specialist in Canada

A business process improvement specialist identifies bottlenecks and inefficiencies in your workflows, allowing you to focus efforts on automating the right processes.

Financial Services
API Management
Open Banking
Financial Services

Open Banking Technology Architecture Whitepaper

February 13, 2024
Learn More

We’ve developed this resource to help technical teams adopt an Open Banking approach by explaining a high-level solution architecture that is organization agnostic.

Insight
AI
Enterprise Automation
Articles

These are not your grandmother’s models: the impact of LLM’s on Document Processing

January 22, 2024
Learn More
These are not your grandmother’s models: the impact of Large Language Models on Document Processing

Explore the transformative influence of large language models (LLMs) on document processing in this insightful article. Discover how these cutting-edge models are reshaping traditional approaches, unlocking new possibilities in data analysis, and revolutionizing the way we interact with information.

Financial Services
API Management
Digital Banking
Articles

Finding the right API Management Platform

November 03, 2022
Learn More