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CIO, PE-backed regulated finance platform
The first unified count of AI the board had seen.
75 shadow AI cases found, 20 unauthorized MCP paths exposed, 12 sanctioned tools moved into cadence.
The proof
The results, kept honest.
Illustrative shape of the findings, not a single customer.
01
The challenge.
A PE-backed regulated-finance platform rolled up from seven merged entities. Leadership had done the visible integration and believed AI was handled. It was not. AI usage was already ahead of policy, procurement, and control coverage, and the board had no single count of what was running, who owned it, or where data was going.
02
The approach.
Shadow-AI inventory and baseline DLP view across priority workflows.
Shadow MCP Discovery extension for AI paths DLP and CASB miss.
A consolidation roadmap that separated tool overlap from genuine workflow need.
Quarterly board operating cadence, with value capture, risk containment, and evidence mapped to ISO 42001 and NIST AI RMF.
AI Engineering side-track scope for AWS-hosted production AI, developer AI tooling guardrails, and CI/CD AI hardening.
03
What shipped.
75 shadow AI cases across a scaled workforce audit scope, roughly 4x the count in the pre-audit IT register.
20 unauthorized MCP connections, every one outside existing DLP and CASB coverage.
Engineering carried the largest data-leakage exposure. GTM was second.
Specialist AI builder, across the board
One builder, across the board.
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