The AI imperative: Navigating data and AI to enhance the customer experience

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Amazon Web Services

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Digital Reinvention
16/06/2025 Study
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Digital Reinvention
13 Nov 2024
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Enhancing customer experience through the use of AI and Generative AI

Last year, AWS and Qorus spotlighted the transformative role of AI/ML and generative AI in banking through their co-authored report, the AI imperative: The future of frictionless banking. That research revealed a turning point for financial institutions, as they shift from early experimentation to enterprise-wide adoption—using AI not just to enhance operations, but to fundamentally reimagine how banking is delivered and experienced.

Building on that foundation, the AI imperative: Navigating data and AI to enhance the customer experience explores how banks are using AI to reshape customer interactions, improve service efficiency, and deliver hyper-personalized experiences. The report features direct insights from global banking leaders on how they are applying AI-powered tools to streamline onboarding, support agents with generative AI copilots, automate processes, and personalize services at scale.

In the pages ahead, you’ll find practical examples, proven use cases and strategic guidance on overcoming implementation barriers—such as talent shortages, data fragmentation, and organizational change. With AWS’s secure, scalable AI/ML platforms—including Amazon Bedrock and SageMaker—banks are accelerating time to value, transforming the customer experience and building the foundations for more responsive, data-driven service models.

KEY INSIGHTS

AI Driving CX Transformation

Banks are harnessing AI, ML, and generative AI to enhance onboarding, personalize services, automate support, and improve overall customer experience—delivering faster, smarter, and more relevant interactions.

Challenges to Overcome

Legacy systems, data silos and talent gaps remain key barriers. Many banks also struggle to scale AI pilots into production while aligning with compliance and responsible AI standards.

Looking Ahead

To unlock AI’s full value, banks must modernize data infrastructure, streamline processes and prioritize use cases with clear business impact—making CX a true competitive differentiator.

Study contributors

profile picture of Mario Cali'

Mario Cali'

Intesa Sanpaolo

Senior Manager - Data Science and Responsible AI

profile picture of Jamie Renehan

Jamie Renehan

Bank of Ireland

Analytics Leader

profile picture of Subash Sharma

Subash Sharma

Absa Bank

Chief Data Officer

profile picture of Reinhold Rehbichler

Reinhold Rehbichler

TeamBank

Chief Technology Officer

profile picture of Shavin Kissoondharry

Shavin Kissoondharry

Mauritius Commercial Bank

Strategy and Product Delivery

profile picture of Ricardo Chaves

Ricardo Chaves

Banco BPI

Executive Director, AI Center of Excellence

profile picture of Clemens Müller

Clemens Müller

George Labs

Tribe Lead

profile picture of Franc Bračun

Franc Bračun

NLB Group

CDO

profile picture of Richard Caven

Richard Caven

Amazon Web Services

Worldwide Banking Specialist

profile picture of Sachin Tandon

Sachin Tandon

Amazon Web Services

Worldwide Banking Specialist

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