AI Governance: Everyone Owns a Piece. Nobody Owns the Whole.
How a specialist bank replaced fragmented AI oversight with one connective layer.
The Challenge
“Where does AI governance actually sit?”
Model Risk
Strong on validation, but scoped to internal models only. Vendor AI, Copilot workflows, team experiments — none covered.
Technology Risk
Built around system deployments, not capabilities arriving through vendor updates.
Compliance
Owned the regulatory relationship but had no visibility into what was actually running.
Vendor Risk
Had commercial relationships and contractual levers, but never assessed AI capabilities.
Every function owned a legitimate piece. None could see the whole picture.
“We don't need a new department. We need a connective layer. Not just to observe, but to enforce ownership and make sure decisions actually get made.”
One Platform. The Complete Picture.
What took 3 people and months of cross-functional negotiation, Infrarails delivers on day one.
Maintain the AI landscape view
Infrarails Discover
Find every AI system — internal models, vendor-embedded AI, shadow tools, browser extensions.
Ensure every capability had an owner
Infrarails Evaluate
Score every AI system across 6 pillars. Assign risk classifications. Link to responsible owners.
Enforce ownership and decisions
Infrarails Guard
Block unsafe AI in real time. Input and output enforcement. Policy-as-code.
Existing controls reaching what they missed
Infrarails Monitor
Continuous drift detection. Alerts to Slack, PagerDuty. Incidents linked to owners.
Route to the right governance mechanism
Infrarails Comply
Map to 50+ frameworks. Merkle-proof audit trails. Board-ready compliance reports.
What Changed
“It wasn't that new controls were created. It was that existing controls started reaching things they'd previously missed — because for the first time, someone had cross-functional visibility and the authority to close the gaps.”
Illustrative outcomes for this scenario, not measured customer results
AI systems with assigned owners
Connected through one platform
Risk visibility across all AI — built and bought
AI Governance Doesn't Need Another Silo
It needs a platform with the mandate to see across boundaries — first line, second line, third line, built and bought — and ensure the existing machinery actually reaches what's running.
That platform is Infrarails.
Ready to connect the dots?
See how Infrarails replaces fragmented AI oversight with one platform your whole organization can trust.