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
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