From Hype to Impact: Unlocking Real Business Value with AI in Financial Services

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18C3EE - Emerj Emerj - Cognigy - Jun-Jul '25 Linked - 108.2

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From Hype to Impact: Unlocking Real Business Value with AI in Financial Services

AI is already delivering tangible results in financial services — from reducing fraud and automating onboarding to cutting costs and improving customer satisfaction — but the rise of new generative AI (GenAI) capabilities is changing the landscape.

Banks and financial institutions are now under pressure to scale their AI efforts while responding to new customer expectations, evolving regulations, and increasing competition from digital-native players.

A new white paper from EPAM explores how financial services organizations can align AI initiatives with business goals and drive measurable value. EPAM is a global digital engineering and software development company specializing in AI, cloud services, and platform engineering for enterprises across industries.

Based on original research with 925 executives and engineers across the industry, the report highlights key challenges, opportunities, and strategic recommendations.

In this report, financial leaders learn how to drive AI adoption in four critical areas:

Delivering hyper-personalized onboarding and financial guidance with GenAI:

Discover how banks are using Generative AI to create individualized onboarding experiences and real-time, tailored financial advice—moving away from one-size-fits-all models toward deeper customer engagement.

Driving efficiency in compliance, fraud detection, and KYC workflows:

Explore how automation and AI are driving measurable gains in operational efficiency, particularly in resource-heavy areas like Know Your Customer (KYC) checks, compliance documentation, and fraud monitoring.

Aligning AI investments with long-term business objectives and performance metrics:

Learn how successful organizations are linking AI initiatives directly to business outcomes, from revenue growth to cost savings, ensuring that AI isn’t just a technology upgrade—but a value generator.

Building the leadership, talent, and governance structures needed to scale AI successfully:

Understand why human factors—like executive sponsorship, cross-functional alignment, and AI-literate talent—are critical to moving from experimentation to enterprise-wide transformation.