AI Governance, Risk & Compliance

AI Governance

A policy nobody can evidence is not governance. We establish the inventory, classification, controls and records that let you demonstrate how AI is used and who is accountable for it, to an auditor, a regulator or your own board.

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The business problem

Nobody can answer how many AI systems you run

Most organizations cannot produce a list. AI has arrived through vendor features, through business unit initiatives, and through individuals using tools that were never approved. Without an inventory there is no classification, without classification there are no proportionate controls, and every AI question becomes a bespoke investigation. The first request from an auditor or a regulator makes this visible very quickly.

What we do

Inventory, classify, control, sustain

We establish what AI is actually in use, including what nobody approved, and classify each system by risk so the controls are proportionate rather than uniform. Then we close the gaps: technical documentation, human oversight, transparency, logging and vendor obligations. Finally we hand over the policies, roles and review cadence that keep it accurate, because governance that depends on a consultant returning is not governance.

AI Governance

Capabilities

AI Governance Frameworks
ISO/IEC 42001 Readiness
Responsible AI
AI Risk Management
Model Governance
AI Policies
AI Inventory
AI Vendor Governance
Human Oversight Frameworks

Common use cases

Produce a defensible AI inventory and risk classification for a board or audit committee.
Establish proportionate controls so low-risk use is not subject to high-risk process.
Bring vendor AI features under the same governance as systems you built.
Prepare for an internal audit or a supervisory request with the evidence already assembled.

How we deliver

Inventory

Establish what AI is in use across the organization, including what nobody approved.
Classify

Assign a risk tier to each system and derive the obligations that follow from it.
Close gaps

Documentation, oversight, transparency and logging brought up to the required standard.
Sustain

Hand over the policies, roles and review cadence that keep it true after we leave.

Technology

ISO/IEC 42001
ISO/IEC 27001
EU AI Act
NIST AI RMF
GDPR
DORA

Security & governance

The output is evidence, not assurance: a system inventory, a risk classification per system, the technical documentation each tier requires, records of human oversight, and a review cadence with named owners. That is the material a regulator or an auditor actually asks for, and it is what an internal audit function needs to sign anything off.

Independently audited against

Engagement models

AI Advisory

Expert consultants provide strategy, architecture, assessment and transformation guidance.

AI Project

We take responsibility for designing and delivering a defined AI solution.

AI Transformation Program

A multi-workstream enterprise programme spanning consulting, engineering and organizational change.

Why TeamExtension.ai

We know what the controls cost to implement

Governance frameworks are easy to write and expensive to comply with if the author has never had to implement them. Because we build the systems, the controls we specify are ones that can actually be built and operated, and we can tell you which ones are cheap and which will slow every project down.

Selected clients

Frequently asked questions

Where do we start if we have no inventory?

With discovery, which is usually faster than expected: procurement records, expense data, SSO logs and a structured conversation with each business unit will find most of it. Completeness matters less at the start than getting a process that keeps it current.

How does this relate to our existing risk framework?

It should extend it, not sit beside it. AI risk is largely existing risk categories with new failure modes, and organizations that build a separate parallel structure end up with two processes nobody follows.

Is ISO/IEC 42001 certification worth it?

It depends on whether your customers or regulators ask for it. The underlying management system is worth building regardless; certification is a commercial decision about whether you need the external attestation.

How long until we are compliant?

Compliance is a state you maintain rather than reach. A defensible inventory and classification is typically eight to ten weeks; closing the gaps depends on how many systems are in the higher tiers.

Related capabilities

AI Governance, Risk & Compliance

EU AI Act Readiness

Classify your AI systems, map the obligations that follow, and close the gaps before they become binding.

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AI Security

AI Security Consulting

Threat-model AI systems and design the architecture, controls and boundaries that contain their risk.

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AI Strategy & Transformation

AI Strategy

Decide where AI belongs in your business, what it is worth, and in what order to build it.

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Discuss Your AI Initiative

Establish the policies, controls and responsibilities required to deploy AI safely at enterprise scale.

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