AI governance for financial servicesConcept

Govern first.Move faster.

AI agents already work across your platforms. The Agentic Control Plane gives each one an identity, rules to follow, and a complete record of what it did.

Built in from the start, governance is what lets AI scale.

8governance layers

5control functions

1evidence record

Governed request Where this is going

"Draft a credit memo for a commercial loan renewal."

Audit recordRecording

One request, one complete record. The rest of this page shows how it gets there.

02 The moment

Agents moved into production. Governance stayed behind.

Financial institutions are deploying agents in credit, service, sales, and everyday productivity. Each team is making real progress. Each platform governs its own piece. Nobody governs the whole.

88%of enterprises use AI in at least one business functionMcKinsey, 2025

23%are already scaling agentic AI systemsMcKinsey, 2025

A typical AI estate, today

Illustrative. Select a gap to see it.

One of these agents is about to draft a credit memo. Follow its request inside.

Request Credit Operations Agent

"Draft a credit memo for a commercial loan renewal."

Invoked by Credit analystDestination Loan origination system

Scroll to enter the system.

Inside the system

Four systems will touch this request. Watch what each one records.

The governance gap

One request. Four systems. No complete record.

Follow one agent request as it moves through four systems.

An examiner asks why this memo recommended approval. Can you answer?

What you can prove

Audit record for this request 0 of 4 fields missing Incomplete

Four systems. Four partial records. No vendor sells the layer above its own. That layer has to be designed.

04 The Agentic Control Plane

So what governs the whole request?

Layer 1

It starts where people work.

The credit analyst asks for a memo in the credit workspace. Layer 1 is every surface where people and agents meet AI.

Layers 3 and 4

Know who is asking. Check what is allowed.

Identity ties the agent to the person it acts for. The runtime gateway checks policy, redacts sensitive data, meters cost, and logs the purpose on every model call.

Layers 5 and 6

Know every agent. Route the work.

The registry is one inventory of every agent, its owner, and its risk tier. Orchestration reads it to decide which agent does the work next, across platforms.

Layer 2

Catch what never registered.

Edge inspection sees AI activity outside the registry, like a personal AI tool, and brings it back under policy. Layers 2 to 6 together are the Agentic Control Plane.

Layers 7 and 8

Build on governed data. Prove every step.

The data foundation decides what an agent may see and keeps lineage. Every layer reports to the evidence layer, which writes one complete record.

Eight layers, one record

Every missing field now has a home.

Select any layer to see what it controls and the evidence it writes. Then run the request through it.

Controls
Evidence it writes
In this request

Governance in action

Now run the same request through the control plane.

Governance in action

Same request. Now every step is governed.

Choose an agent and a risk tier, then run the request. Watch each layer do its job, and watch the evidence build.

Agent

Risk tier

Invoked by

Agent

Outcome Ready to run

Governance layers

Evidence ledger

Live Illustrative

Run the request to see each control write its evidence here, as it happens.

Human review required