Intelligent Governance for the AI-Driven Enterprise
Insights/Case Study

From shadow AI to a governed AI estate at scale

How one enterprise brought 200+ AI systems under board-level governance in nine months.

PN
Priya Nair
Principal Consultant · 2026-05-14 · 1 min read
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Case Study
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When the programme began, no one could say how many models were in production. Nine months later, the board reviewed a single governance dashboard covering 214 systems.

Discovery before control

The first phase was pure archaeology: interviewing teams, scanning repositories, and cataloguing every spreadsheet heuristic and vendor scorecard that shaped a decision.

From catalogue to control

An inventory is inert until it drives action. Each system was risk-tiered, assigned an accountable owner, and wired to a monitoring cadence proportional to its materiality.

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Written by
Priya Nair

Principal Consultant at MS RiskTec. Priya advises boards and CROs across BFSI on model risk, explainability and regulatory readiness for AI-driven lending.

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