Gen AI Adoption Guide

How successful Financial Services companies scale internal GenAI and agentic AI with user analytics

See how leading banks prove ROI, manage risk, and drive real GenAI value by focusing on user behavior, not just system metrics. Backed by fresh data from KPMG, McKinsey, and Deloitte, and grounded in real enterprise case studies.

Get the guide

AI Adoption guide

Most institutions track usage logs and collect occasional feedback, but they miss the critical signals.

While 71% of financial firms have deployed AI in operations, only 29% can demonstrate measurable business impact to their boards.

The difference comes down to one blind spot: understanding how employees actually use these tools.Are employees adopting AI for real work or abandoning it after initial trials? Which use cases drive productivity versus becoming expensive shelfware? Where are compliance risks hiding in everyday interactions?

Case study: Global Bank governance and risk detection

A major global bank with over 80,000 employees faced critical challenges as GenAI expanded across departments: employees unknowingly exposed sensitive data, asked inappropriate questions, and received hallucinated responses that created real compliance risks.
To address these gaps, the bank implemented user analytics to monitor all AI interactions with strict security controls built into their infrastructure.

Get the guide

How banks prove ROI, manage risk, and drive value by measuring real employee behavior, not just system metrics.

Thank you.
Please check your email for the report.

Oops! Something went wrong while submitting the form.