Agentisk.Governance · Risk · Controls
AI Governance, Risk and Controls

The future of AI will not be won by speed. It will be governed by control.

Agentisk turns AI agents from impressive demos into evidence that survives audit, procurement and the regulator.

The standard a regulated buyer judges an AI agent against, and the bar a vendor must clear to sell into one.

The four pillars

One standard. Both sides of the table.

AI agents under regulatory scrutiny

Buyer, what you require  ·  Vendor, what you evidence

  1. 01

    Observability

    What the agent received, did and produced, and which controls applied, captured as it runs.

    Buyer

    You require the runtime captured before the agent goes live.

    Vendor

    You evidence the runtime captured, before procurement asks for it.

  2. 02

    Auditability

    That runtime stream turned into a structured record audit and a regulator can read.

    Buyer

    You require a record your audit team can open without the vendor in the room.

    Vendor

    You evidence a record audit can read on its own.

  3. 03

    Traceability

    The decisions, changes, approvals and versions behind the action.

    Buyer

    You require the approvals and the version of the agent behind every action.

    Vendor

    You evidence the approvals and the version that acted.

  4. 04

    Ownership

    A named person accountable for the outcome, with the authority to approve and to stop.

    Buyer

    You require a named person who can stop it, not a team that owns it.

    Vendor

    You evidence a named owner with the authority to stop it.

One standard, met in full or not at all. A reviewer tests your weakest pillar, not your strongest.

The same four pillars, whether you judge an agent or build one. The bar does not move.

When an AI agent acts, can you reconstruct what it did
Reconstructing one agent decisionReconstructing
  1. 01
    ObservabilityRecovered the action it took, the inputs it saw, and the controls that fired.
  2. 02
    AuditabilityRecovered it as a record an auditor can open on its own.
  3. 03
    TraceabilityRecovered the approvals and the version that took the decision.
  4. 04
    OwnershipRecovered the name accountable, and the authority that could have stopped it.

This is built in while the agent runs, not bolted on after the incident. What was never captured cannot be reconstructed.

Illustrative reconstruction of a single agent decision across the four pillars.

From the buyer side01

Most AI agents clear the demo. They stall the moment someone reviews the claims.

Fifteen years inside regulated financial services. On the panels that approved or rejected the vendors.

The ones that failed rarely failed on the policy. They failed on the evidence.

Your internal review is not the one that fails the deal. Mine was.

The Work02

Agentisk takes the four pillars from principle to evidence.

01Control readiness review

We test the agent against all four pillars, the way risk, audit, procurement and the regulator will, and find the gaps before they do.

02Evidence pack

We turn what the agent does into a record those teams accept and can put in front of a regulator.

03Assurance over time

Controls and evidence kept current as the agent changes, so what cleared review stays cleared.

Regulatory ground03

The pillars are anchored in the frameworks AI agents are now judged against.

EU AI ActNIST AI RMFISO 42001COSOBCBS 239DORASMCRConsumer DutyFCA and PRA expectations

Contact04

Whether you judge AI agents or build them, the test is the same. The agent works. Can you prove it.

Contact us at umer@agentisk.co.uk