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Category: Financial Services

Open Banking Technology Architecture Whitepaper

Financial Services | API Management | Open Banking

Open Banking Technology Architecture Whitepaper

February 13, 2024

Financial Data Portability Best Practices

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

Open Banking Implementation DemystifiedWe also explore technology best practices to make your Open Banking adoption journey a success.

Winning the Open Banking Race: A Challenger’s Path to Entering the Ecosystem Economy

Financial Services | Consumer Driven Banking | Open Banking

Winning the Open Banking Race: A Challenger’s Path to Entering the Ecosystem Economy

February 5, 2024
Winning the Open Banking Race_Consumer driven banking_Blanc Labs

Capitalizing on the Open Banking Opportunity

This whitepaper provides a practical path to adopting open banking for banks and financial services institutions. It describes the steps that successful early adopters have taken in the process of forming their open banking strategy and executing on it, while balancing the risks and unknowns in markets where regulatory direction was still being formed.

This whitepaper covers:

  • Understanding Open Banking: What is it and What is the Opportunity
  • Building a Business Case for Open Banking Enablement
  • Governance Models
  • Technology Strategies for Open Banking
  • The Ecosystem Approach for Financial Services

Many of our clients understand that consumer directed finance represents a significant shift in how value will be created and distributed between FI’s and consumers.   Knowing how to get started can be daunting and this whitepaper contains recommendations for a “no regrets” approach to make progress when clear guidelines are not yet defined.

The open banking opportunity:

61% workers who say that the introduction of AI has improved productivity.
96% error reduction rate in loan application processing
Building the Business Case for Digital Transformation
$77 billion
the value of open banking transactions worldwide¹
20%
the increase in Canadian customers’ willingness to share data with big tech firms since 2020²
65%
of Canadian SMBs feel positive about seamlessly sharing financial data between banks and authorized third parties³

Download the full whitepaper for:

✅ A practical path to adopting open banking
✅ Steps you can take in forming an open banking strategy and executing on it
✅ Technology strategy, monetization, governance models for open banking

Open Banking whitepaper cover

Winning the Open Banking Race whitepaper LP Web

Winning the Open Banking Race whitepaper – Feb 2024 Landing page web created in Feb 2024 https://blanclabs.com/insights/winning-the-open-banking-race-consumer-driven-finance

Name

Get in touch

David Offierski
VP of Partnerships & Open Banking Lead

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From Chaos to Clarity: Achieving Operational Excellence through Business Process Improvement

Financial Services | Business Process Improvement | Enterprise Automation

From Chaos to Clarity: Achieving Operational Excellence through Business Process Improvement

January 18, 2024
Business process improvement at work_Blanc Labs

Generative AI and Automation: Are you implementing them effectively?

The emergence of exponential technologies like Generative AI has sparked enthusiasm among companies and executives, who see the potential for enhancing operations and adding significant value to their businesses. In a PWC survey¹, 86% of U.S. executives projected AI’s transition into a ‘mainstream technology’ within their companies in 2021. Moreover, 25% of businesses utilizing AI anticipate revenue growth.

However, as highlighted by Gartner², a concerning 85% of AI projects ultimately fail to meet their expected business value. Among the numerous factors contributing to these shortcomings, common culprits include misaligned expectations, inadequate planning, and limited comprehension of the technology and its practical applications. When all these factors are considered, they collectively underscore a single underlying issue: an inadequate understanding of the process.

The Cost of No Change

Every business, regardless of its size or industry, operates within a complex web of processes. These processes, when left unoptimized, can lead to chaos, inefficiency, and missed opportunities. Employees may find themselves bogged down in manual tasks, information silos, and redundant workflows. Meanwhile, customers may experience reduced satisfaction due to prolonged or unclear processes and excessive touchpoints, potentially leading to attrition. This chaos not only hampers productivity but can also erode customer satisfaction and profitability.

 

¹ PricewaterhouseCoopers, “PWC 2022 AI Business Survey”, online: PwC
²“Gartner says nearly half of CIOs are planning to deploy artificial intelligence”, (13 February 2018), online: Gartner

Array’s research³ reveals alarming realities within organizations:

Financial Costs:

Inefficiencies cost 20-30% of revenue.

Time Costs: 

Employees lose 26% of their day to avoidable chores.

Recruitment Costs:

Each employee costs $4,129 and 42 days to be trained.

Amid these sobering statistics, businesses have adopted Business Process Improvement as a systematic, analytical approach to understanding, prioritizing, and measuring the impact of how to make their operations run more efficiently.

 

³Saunders, Dave, “How Much is Inefficiency Costing Your Business”, (19 November 2020), online: Electronic Data
Capture, Mobile Data Collection – Array Survey App

53% of IT decision-makers say that Cloud ERP (Enterprise Resource Planning) software is a worthwhile investment
Man working
50%
of companies spend up to $25 on each manually processed invoice
64%
of sales reps allocate their hours to non-revenue tasks
30%
of specialist IT time is consumed by basic, low-level activities

Download the Full Whitepaper

From Chaos to Clarity_Business Process Improvement_Blanc Labs

Our teams have compiled insights and best practices in this practical and outcome focused whitepaper.  Our learnings are based on numerous successful client engagements, research, and industry partners.

Business leaders seeking practical advice to advance their BPI capabilities will find value in the topics covered in the whitepaper.  These include:

  • A step-by-step approach on how to conduct Business Process Improvement within an enterprise operating environment
  • Practical implications of using Business Process Improvement with Intelligent Automation
  • Case Studies on the successful use of Business Process Improvement in mid-sized to enterprise organizations

 

From Chaos to Clarity

 

You consent to receive communication from Blanc Labs by providing us with your contact information. You can unsubscribe at any time. Please review our Privacy Policy for further details. 

Authors:

Luciano Lera Bossi
Luciano Lera Bossi
BPI & Intelligent Automation Lead

“Our commitment is to evolve your business processes in a way that’s both data-driven and adaptable, fostering an environment where continuous improvement is the norm, and each step leads to a more effective and empowering operational experience.”

David Liu
David Liu
Lead-CoE Consultant

“In the race for growth, inefficiencies hold companies back. Success unfolds in continuous refinement—where processes evolve, innovation thrives, and excellence becomes ingrained.”

The Value of Speed: C.D. Howe Institute policy research quantifies the benefits of a modern payment ecosystem in Canada

Financial Services | Insights | Payments

The Value of Speed: C.D. Howe Institute policy research quantifies the benefits of a modern payment ecosystem in Canada

January 10, 2024
payment cards

With Consumer Directed Banking back on track for 2025, there is perhaps cause for optimism that a long awaited evolution in Canada’s payments ecosystem could become a reality over the next few years.

In addition to providing a comprehensive summary of the benefits of a faster, more open and competitive payments ecosystem, the opportunity cost of not evolving our payments landscape to include real-time payments (RTR) has been well documented in a recent research paper by the C.D. Howe Institute.  The paper also discusses specific actions that government and regulators can take to create a more innovative, competitive and fair payments ecosystem in Canada.

The full paper is available for download directly from the C.D. Howe Institutes website but it is worth highlighting several key themes/stats from the paper.  Many of these themes are already reflected in our payment strategies and implementation approaches for our clients.

Our team is optimistic about a better future for Canadian payments and will be following developments in this space closely.  As always, we look forward to working with ecosystem participants to learn more about their perspectives and how they view the considerable opportunity to win in our payments economy.

$3.25 Billion

Anticipated Impact to CDN economy over 5 years.

20.5 Billion

Total Payment Transactions in 2022

$2.23 Billion

Projected 5 year savings with RTR

RTR By The Numbers

The C.D. Howe Institute team provided some excellent analysis on the expected economic impact to Canada’s economy with a more competitive payments landscape enabled by RTR adoption.

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2023 Fall Economic Update on Consumer-Driven Banking 🥳

Financial Services | Digital Banking | Fintech | Open Banking

2023 Fall Economic Update on Consumer-Driven Banking 🥳

November 29, 2023

When we attended the CLA Lenders Summit a few weeks ago, it seemed like everyone was ready to sign the death certificate for Open Banking in Canada. Very little, if any, material progress had been communicated on behalf of the government to create a regulatory framework or policy mandate to make good on the promise or timelines defined by an Advisory Committee on Open Banking Report which became the mandate of Abraham Tachjian, who was appointed as Canada’s Open Banking lead, by the Liberal government in 2022.

Fast-forward to Wednesday November 21st, 2023 when Finance Minister Chrystia Freeland provided her 2023 Fall Economic Update, our team, as well as many of our clients and industry collaborators were taken by surprise when the Liberals laid out a framework and timeline for Canada to implement a Consumer-Driven Banking approach.

Aside from a snazzy rebrand of the open banking moniker, the policy statement on Consumer-Driven Banking outlined the goal of “adopting legislation and fully implementing the necessary governance framework by 2025”. It would seem from the update, part of the government’s motivation for moving ahead with consumer-driven banking is a focus on the affordability crises facing many Canadians. The Consumer-Driven Banking policy statement was listed under the header of “Making Life More Affordable” in the economic update.  The update for Canada now seems to be following a similar path to how policy is being shaped and implemented in the US.

Our Take:

As long-term believers in the benefits of Open Banking, we are thrilled to learn of the renewed commitment to making consumer-directed banking a reality in Canada.  While there is still a lot of work to be done as well as the additional hurdle of new  legislation being tabled during an election cycle, we are committed to the potential  benefits of Consumer Directed Banking for banking customers and the significant opportunity for innovation and collaboration in the Canadian financial services sector.

You can read the full Fall Economic Statement here but if you are short on time, ChatGPT did a pretty good job of summarizing the statement in bullets, below.

 

Introduction to Consumer-Driven Banking:

    • Allows secure transfer of financial data via API.
    • Aims to replace unsecure screen-scraping.
    • Enables access to data-driven financial services.

Benefits of Consumer-driven Banking:

    • Consumers gain secure access to innovative financial tools.
    • Greater control over financial data for improved outcomes.
    • Small businesses experience reduced administrative burden.

Policy Objectives:

    • Safety and soundness of the financial sector.
    • Consumer financial well-being and protection.
    • Economic growth and international competitiveness.

Core Framework Elements:

    • Governance: Oversight and management of the system.
    • Scope: Types of data, participants, and expansion pace.
    • Accreditation: Requirements for participating in data sharing.
    • Common Rules: Privacy, security, and liability guidelines.
    • Technical Standards: Establishment and oversight of data flow.

Course of Action (Legislation in 2024):

    • Phased approach to scope, oversight, and screen-scraping elimination.
    • Key elements codified in legislation.
    • Mandate to a government-led entity for supervision and enforcement.

Governance (Effective Oversight):

    • Government-led entity to supervise and enforce the framework.
    • Model for provincial entities to “opt-in” to governance.
    • Strong governance framework to ensure compliance.

Scope (Phased Implementation):

    • Initial phase includes federally-regulated financial institutions.
    • Opt-in option for credit unions and third parties.
    • Reciprocal access for all entities to promote data portability.

Accreditation (Trusted Data Sharing):

    • Formal framework for entities collecting consumer data.
    • Regular reporting for accreditation maintenance.
    • Exemption for federally-regulated banks and credit unions.

Common Rules (Transparent Foundation):

    • Privacy, security, and liability obligations.
    • Compliance as a condition for data access.
    • Complements existing legislation.

Privacy (Protection Measures):

    • Participants must comply with legislative frameworks.
    • Specific privacy rules for financial data sharing.
    • Consent dashboards for real-time consumer control.

Liability (Clear Structure):

    • Statutory contractual relationship between participants.
    • Liability moves with the data and rests with the party at fault.
    • Internal policies and procedures for complaint handling.

Security (Protecting Consumer Data):

    • Clear security requirements for accredited entities.
    • Oversight of security standards in legislation.
    • Ongoing reporting obligations for data protection.

Single Technical Standard:

    • Mandate for a single technical standard.
    • Legislation to outline principles and oversight.

Next Steps for consumer-driven banking:

    • Department of Finance aims to implement the framework by 2025.
    • Ongoing engagement with industry stakeholders.
    • Legislative framework development and phased implementation.

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The Keys to the Secret Garden: Unlocking the Potential of AI in the Enterprise

Financial Services | AI | Enterprise Tech | Generative AI

The Keys to the Secret Garden: Unlocking the Potential of AI in the Enterprise

November 27, 2023
Image of a garden

At this point, enterprise generative AI applications for  software developmentmarketingcustomer/employee service , and product design are proliferating as the standout use-cases early adopters are focusing on. From our position working with clients to develop and enable enterprise data + AI solutions, we’ve gained perspective on several of the foundational characteristics enterprises will need to develop to realize on the promise of this 3rd wave of the human-computer revolution.

Even though it is still early days we are very enthusiastic about the prospects of LLMs and powerful ML capabilities to unlock vast economic value and growth for progressive enterprises. Some are estimating an impact of $1 trillion, or 4% of GDP, in the U.S. alone and the generative AI market is expected to see rapid growth, rising from 11.3 billion USD in 2023 to 51.8 billion by 2028.

But First, a Disclaimer

Blanc Labs focuses on the financial services and healthcare industries. We see both sectors as having massive potential in terms of the benefits offered through the application of these transformative technologies.  Both healthcare and financial services are hugely complex, highly regulated, and depending on who you speak to, resistant to change. We believe the stage is set for a broader divergence of winners and losers: organizations that build capability and competency in adopting new tools and leverage the power of their enterprise data will stand to reap the benefits of their investments.

So with all the hype surrounding generative AI and the rapid advancement of a field that feels to moving forward at the speed of light, it is important to understand why some organizations will be better suited to create value in this field than others, and what organizations can do to ensure success.

⛔️ Cloud Infrastructure Only ⛔️

AWS Enterprise Strategist and Evangelist, Phil Lebrun is a pretty smart guy. In one of his posts about the topic, his flagship advice is “Don’t try this without the cloud.” You want your teams focused on problem-solving and innovation, not on managing the underlying complexity and cost of enabling infrastructure and licenses. The cloud is the enabler for adopting AI, making available cost-effective data lakes, sustainably provisioned GPUs and compute, high-speed networking, and consumption-based costing.

Enterprise Platforms are a Lynchpin

If we consider that having completed a cloud migration or cloud native approach is table stakes for AI  enablement within an organization, the next big question will be where your enterprise data resides. The organization’s technology infrastructure and enterprise platform ecosystem will in many ways determine what toolsets may be available to facilitate experimentation and development of AI enabled use cases.

If you are a CIO, CTO or CDO, start by taking stock of the platforms that house your enterprise data and evaluate the toolsets offered by these power technology-ecosystem juggernauts. Microsoft and AWS are emerging as clear leaders in terms of providing their customers powerful tools to apply ML and AI to their enterprise data, but Salesforce, SAP, Pega and OpenText – amongst many others will offer tooling to access, manage and apply AI to enterprise data.

It is impossible to predict who the big winners and losers of this space will be, partially because they are such massive and well entrenched players but keep an eye on this space over the next few years.

The 👿 is in the Data [Taxonomy]

Building an enterprise data model across a complicated operating environment like a bank is no small feat. Standardizing data definitions between different lines of business in a bank involves tackling the complexity of enterprise (+legacy) platforms used to store and handle data. This complexity extends to accommodating the diverse needs of various stakeholder groups with distinct preferences for accessing, manipulating, and analyzing data.

In many ways, risk is a unifying theme and responsibility within regulated industries like the banking sector. We see conformance to risk measurement and regulatory reporting requirements as a lightning rod for action amongst FI’s to get their “data house” in order but proactive approaches amongst banking and technology executives are few and far between.

In a recent interview with Tech Exec magazine, VP of Data and Adaptive Intelligence at Munich Re Canada Branch (Life), Lovell Hodge encapsulated the shift in how progressive organizations are thinking about their data:

“Over the years, there has been a realization that data has an inherent information value to the organization. As the years go by, we’re rapidly producing more data at an increasingly and somewhat alarming rate. So, what a lot of folks in the industry have realized is that there is not a huge space between theoretical concepts around information from data, and how they can use that information to simplify internal processes and also benefit clients.
So, you’re seeing that interdependence starting to mature. And because of that, many organizations are looking at their data not as just something they have to store, but as an asset they can leverage. And once you start thinking in that sort of way, then you start to formulate methods by which you can gain value from data, and it becomes an important part of your corporate strategy.”

App Design and Development Now Occurs ‘In the Data’

Historically, software design and development occurred in a sandbox that was devoid of enterprise data. In traditional dev environments we piped in dummy data to test parameters and during QA tested connectivity and security. But with the explosion of sophisticated ML and AI tools, application development will very much occur at the nexus of querying, manipulating, analyzing and visualizing proprietary data sets.

There is a tremendous amount of opportunity for these new tools to democratize data for business users through the use of conversational/natural language query tools to conduct analysis and derive insights from enterprise data sets.

Another big change will be the blurring of the lines between the role of developers and data scientists and in many cases, these resources will be working directly alongside each other.  Technical resources will require access to live data sets to facilitate model training and to leverage powerful data analytics toolsets. This is going to require a significant shift (from reactive to proactive) in terms of access management and data security.

Firms that work with external partners will require them to adhere to an extremely high standard of data security protocols i.e., ISO and SOC 2 compliance certification with regular audits.

Specific sector, domain, and knowledge of business context has always counted for a lot but increasingly developers won’t be able to rely on detailed functional, technical and design requirements documentation to define the specs of what they are developing.  It will require a much more experimental, test and learn approach.  Toolsets are only going to get more user friendly to work with but developing high impact apps leveraging advanced AI/ML techniques will require a detailed and nuanced understanding of user needs, workflow, data inputs, command prompts, prompt modelling strategies, and a continuous improvement approach to get to a place of lasting and tangible impact for businesses and teams.

In Summary:

There is much still to be learned through this large-scale adoption of a suite of technologies that are evolving at such a rapid pace. This is by no means a complete list of the things business teams and leaders need to consider as they look to capture competitive advantage from these powerful new tools. At Blanc Labs, we are excited about the future and look forward to working with companies to develop their capabilities to create business value by harnessing the tremendous potential of their enterprise data.

About the Author

David Offierski
VP Partnerships & Marketing

With over 15 years in technology consulting services, I am thrilled at how next-gen technologies will unlock a new wave of innovation and productivity for enterprises.

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Team Member Spotlight – Noel John, VP of Client Engagement and Delivery

Financial Services | IT Management | Leadership

Team Member Spotlight – Noel John, VP of Client Engagement and Delivery

October 30, 2023

Blanc Labs’ recently appointed Noel John as VP of Client Engagement and Delivery.  We are thrilled that Noel has joined the team and brings with him a strong background in client engagement leadership.

Noel joins Blanc Labs from a fortune 500 publicly traded global technology and consulting company, where he spent close to 20 years on various leadership roles including leading a specialized QEA practice for Canadian BFSI customers. As a trusted partner for clients, he aids them in achieving their business objectives. His approach is rooted in the belief that true transformation requires active listening and a partnering approach through all phases of the journey.

Noel John
VP Client Engagement & Delivery, Blanc Labs

My focus is on building a One-Team culture in the customer-partner ecosystem, encouraging cross-functional cooperation, building high performance teams, and growth strategies that lead to driving successful outcomes.

5 Questions with Noel John

Get to know our amazing team members.

Q: Noel, you have an extensive background in client engagement and delivery, what do you think are the biggest drivers of success?

I have found that bringing a client centric approach to everything you do has proven to be a tried and trusted driver for success. You need to understand the client’s business, their future plans and the industry trends. You need to be their trusted partner to drive the required change.

 Q: Technology is always evolving, and it seems like we are in a period of rapid acceleration. What technology trends are you watching closely and/or building capability to serve clients?   

Artificial Intelligence has become de-facto topic in a huge number of client conversations. AI is not just a technological advancement but it’s poised to transform the whole business i.e it’s transforming how clients conduct their business.

We are still in the very early stages of this evolution but we now have all the ingredients like data, compute power, storage etc. Human creativity combined with the AI capabilities will unleash enormous opportunities for consumers and businesses.

These are some of the most exciting spaces to be working with clients because enabling this transformative technology will require a highly collaborative approach between business and technology teams, as well as partner support.

Q: What attracted you to Blanc Labs? Why did you decide to join this organization at this point in your career?

While I spent most of my career so far with large fortune 500 company, I was hungry to have new experiences, learn new skills and contribute along the way.

Blanc Labs provided this opportunity to run your portfolio like a start-up. I am looking forward to making a meaningful impact leveraging Blanc Labs’ entrepreneurial and innovative culture.

Q: Noel, thanks for the thoughtful responses.  We are super excited to have you join the team and work with you.  Last question, tell us something about yourself that folks in your professional network might not know about you.

I love to be outdoors during all four seasons, hiking in summer and skiing in winter.   

I also own a motorcycle and love to take weekend trips to cruise the backroads of Ontario.  This time of year is particularly special as you get to see the amazing fall colors on the trees.  Safe motoring and see you on the road! 

 

You can reach Noel John at noelj@blanclabs.com or LinkedIn.

Blanc Labs Noel John

Innovation Is The Key To Digitally Transform Financial Services

How EQ Bank is Using Financial Data Integrations to Supercharge Their Residential Lending Process

Case Studies

How EQ Bank is Using Financial Data Integrations to Supercharge Their Residential Lending Process

When Our Clients Win, We Win.
Financial Services | Digital Banking | Integration | Residential Lending
and and

Summary

Equitable Bank is Canada’s seventh largest Schedule I bank and is ranked the number one Canadian Bank on the 2023 Forbes list of World’s Best Banks. Managing more than $50 billion in assets and serving more than 5 million Canadians, the bank offers a diverse suite of residential lending, commercial lending, and savings solutions, including high-interest savings products and guaranteed investment certificates.

As a challenger bank focused on delivering better banking experiences, Equitable Bank wanted to set a new standard for the mortgage application process that is fast, seamless and error free.

Working with Blanc Labs as a technology strategy and systems integration partner, EQ decided to implement Flinks Data Aggregation & Connectivity tools to transform their lending process by developing a new Statement Share tool.

The Statement Share tool overhauled EQ’s mortgage approval process, simplifying the identity and funds verification process for both customers and underwriters.

 

*Instant Bank Verification (IBV) and Financial Data Enrichment tools can accelerate the underwriting process by up to 30%*. Stats based on a sample size of Flinks’ clients

30%* Improvement in underwriting speed
When Our Clients Win, We Win.

The need for an improved mortgage approval journey

Buying a house is a major milestone for most people, often the biggest purchase they’ll ever make. The process involves various steps, including getting approved for a mortgage, which can be quite stressful on its own.

Financial institutions require a lot of data and documentation to move forward with their mortgage underwriting process. Unfortunately, this puts the burden on customers to gather and share all of that information.

The process of sharing documents is not a pleasant one. It involves downloading reports from bank portals, scanning or printing them, emailing them to the mortgage officer or handing in physical copies, and notifying the broker.

Paul von Martels
Vice President, EQ Bank

When clients send their bank statements directly to us by email, they’re sending them in PDF format—which requires manual work to process and to review for inconsistencies.

EQB had an additional layer of complexity. Their customers, most of whom are small business owners, have multiple bank accounts which were used for both business and personal purposes. This made the information sharing process even more confusing and cumbersome.

EQB wanted an elegant solution that would make the mortgage application process simpler for the customer and less complicated for the mortgage underwriters. The result was the Statement Share tool.

The Statement Share tool

Enhancing the Customer Experience

The Statement share tool uses Flinks’ data connectivity to provide customers witha digital interface where they can share their banking information securely and submit an application with just a few clicks. The tool sources information directly from banks, making the process reliable and error free. The tool also has the provision to notify the broker that the application is complete. Since introducing the tool, EQB has seen a significant uptick in its use by customers.

Improving Employee Productivity

Within the back office, the tool is a boon to mortgage underwriters who can easily verify the income and identity information. Blanc Labs integrated the Flinks API with the bank’s mortgage engine without having to rip or replace legacy components. This led to better employee productivity and experience.

Ashley-Yantzi
Ashley-Yantzi
Ashley Yantzi
Vice President of Residential Lending, EQ Bank

We use the Statement Share tool, created by Blanc Labs using Flinks APIs, at deal origination. There are various use cases for us, but the tool is a crucial part of our verification process that assesses whether what borrowers have stated in their applications is true. Thanks to the API, we are seeing statements and factual data directly from their banks.

In Conclusion

Equitable Bank’s Statement Share tool, powered by Flinks’ data connectivity and integrated by Blanc Labs, exemplifies the commitment to enhancing customer experience and optimizing employee efficiency. By streamlining the mortgage application process and reducing complexities, Equitable Bank has successfully evolved the way people navigate the path to homeownership, making it a smoother and more enjoyable journey for all parties involved.

If you are interested in evolving your financial ecosystem to improve your customer experience and employee productivity, reach out to us at Blanc Labs and let’s explore the possibilities together. Contact us today and start unlocking the potential of open APIs for your business.

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Start your Digital Transformation

Blanc Labs Expedites the Development of Mortgage Product for Canada’s Top Brokerage

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Smart Document Management Solutions Accelerates the Launch of A Digital Direct Mortgage Offering for Questrade

59% of organizations looking to add BaaS capabilities are currently in the testing phase
Financial Services | Integrations | Services

Defining the Opportunity

Questrade, Canada’s leading discount brokerage had an aggressive target date to launch and debut its residential mortgage product to originate loans through an in-house, proprietary Loan Origination System (LOS) . The LOS solution needed to collect loan application data and documents from the borrower and co-borrowers. The challenge was to buy or build the document automation layer of the solution in a short period of time.

Questrade partnered with Blanc Labs to leverage their experience as a technology partner with experience in building digital lending products.

A big goal of the digital direct mortgage offering was to automate as much of the document collection and document management function by offering a secure upload workflow for the borrowers and secure document storage for underwriters and internal team members. The solution also had to enable a seamless document viewing and proofing workflow for mortgage officers to define the loan conditions.

Ultimately, Questrade selected  Blanc Labs’ for their expertise in the Canadian mortgage industry as a long-term partner which dramatically accelerated the timeline to design, build and launch the award-winning with Quest Mortgage platform in 2020 .

Challenge: Aggressive delivery target
Challenge: Limited internal resources
of banking leaders are prioritizing BaaS capablities

Approach and Solution

To deliver the requirements, Blanc Labs collaborated with the online brokerage’s stakeholders in two phases: Discovery and Design, and Solution Delivery and Integration.

 

Phase 1: Discovery and Design

During several agile design workshops, Blanc Labs’s multidisciplinary team of subject matter experts and specialists in user experience (UX), product, and engineering worked closely with the online brokerage’s senior executives and stakeholders representing both business and technology teams. The goal was to understand the requirements and imagine the total solution while keeping in mind the capabilities of Blanc Labs’s document automation product, Kapti.

Kapti is an automation software for document capture and processing. With Kapti, users can automate the document collection workflow through a web-based application and APIs. Kapti also uses proprietary machine learning (ML) technology to intelligently classify and split multi-page documents to extract, analyze, and deliver critical data from documents to generate decision-making insights. For more information, visit www.kapti.io.

The result was incorporating Kapti’s Application Programming Interface (API) and web-based user interface (UI) in the following arrangement:

    • Use Kapti headless as an API-first product to initiate document request flows

    • Use Kapti UI for document upload by borrowers and mortgage officers

    • Use Kapti UI for document proofing by mortgage officers

    • Integrate Kapti with the online brokerage’s Google Cloud Platform (GCP) to store uploaded documents

    • Integrate Kapti with the online brokerage’s enterprise virus software to scan each document for malware

    • Integrate Kapti with the online brokerage’s single-sign-on and identity manager for borrower and employee login

    • Deploy Kapti as a container on the online brokerage’s private GCP cloud (GKE: Google Kubernetes cluster)

Phase 2: Solution Delivery and Integration

Blanc Labs had a major advantage over other vendors and options: All the features and requirements listed during the discovery phase were part of Kapti’s out-of-the-box specification. This meant that the solution delivery didn’t need any development—Kapti just needed to be installed and configured to fulfill its duties.

During this phase, Blanc Labs worked on two streams of product and tech to deliver the solution. The Kapti product team worked closely with the online brokerage’s business and mortgage operations teams to configure the document types and user experience flows. In parallel, the Kapti engineering team worked with the online brokerage’s technology and infrastructure architecture teams to deploy the product and integrate it with the final state cloud solution ecosystem.

Blanc Labs had a major advantage over other vendors and options: Its product. Kapti, just needed to be installed and configured— extra development wasn’t necessary.

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