/case-studies / bank-model-risk-governance
AI GOVERNANCE, RISK & TRUST

Model risk and AI governance for a bank

client
Tier-1 Bank
industry
Financial Services
services
AI Governance · Consulting
duration
8 months
fig.90// skillikzIAMSIEMZero-TrustSOCthreats.logrollout75%0breachesusage91coveragelive
// OVERVIEW

Tier-1 Bank — a financial services organisation — engaged Skillikz on model risk & governance: A governance operating model for AI and ML at scale. This case study sets out the business challenge, the AI-led approach we took, the technologies involved and the measurable outcomes delivered over 8 months.

// TECHNOLOGIES
Model RegistryEvaluation SuiteGuardrailsPythonAudit Logging
100%
models governed
SR 11-7
aligned
continuous
monitoring
board
visibility
01 // THE CHALLENGE

A growing estate of AI and ML models outpaced the bank's model-risk processes, creating regulatory and reputational exposure.

02 // OUR APPROACH

We extended model-risk governance to cover AI/ML and LLMs — inventory, validation, monitoring and clear accountability.

AI/ML model inventory and tiering
Validation and red-team testing
Continuous monitoring and reporting
Governance operating model and roles
03 // THE RESULTS

Every model is governed and monitored with board-level visibility, aligned to model-risk expectations and AI regulation.

We can now evidence control over every model — to the board and the regulator.

Head of Model Risk · Tier-1 Bank
// HOW WE'D DELIVER THIS TODAY

The AI services behind this outcome

A project like this draws on a focused set of Skillikz services — from first assessment to a working pilot and a clear path to scale.

// MORE WORK
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