New report · Judgement at scale
Moving financial services from AI curiosity to capability
Banks have put AI in the hands of their whole workforce. Turning that into results is harder: only 12% of AI use cases are reported with an operational KPI, and barely 1% with a direct financial result.
Source: Evident AI Index, 50 of the world’s largest banks
The problem isn’t access to AI. It’s the gap between having it and using it confidently, accurately and under regulatory scrutiny.
What’s inside
- A practical 12-month blueprint for moving from AI curiosity to execution-ready capability
- Why people capability decides results: Talent is 45% of the 2026 Evident score, and the fastest-growing AI roles are moving to the front line
- Why judgement is now a risk issue: 71% of employees have used unapproved consumer AI tools at work
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Financial services faces three pressures at once
AI is already in the business. The judgement to use it well is not.
01
Risk exposure
Employees are interpreting AI outputs and making decisions without the judgement to catch errors, bias or hallucinations, leaving firms exposed when something goes wrong.
02
Stalled strategy
AI is deployed but not understood, and data is available but not confidently interpreted, so investment stalls before it reaches scale.
03
Missed value
Critical judgement stays locked in small specialist teams while the decisions that create value are made across the wider business, leaving realised gains far behind what was promised.
Who it’s for
Leaders in financial services responsible for closing the capability gap in high-stakes, regulated environments.
CHROsChief Risk OfficersHeads of L&DTransformation and AI leads