/services / ai-governance-trust

AI Governance, Risk & Trust

Make AI auditable, compliant and safe — EU AI Act and ISO 42001 readiness, model risk management, guardrails, evaluation and red-teaming.

engagement.spec
modelDedicated squad
cadence2-week sprints
stackCloud-native
time-to-value4–6 weeks
handoverFull IP & docs
// OVERVIEW

What this means for your business

AI now sits on the board agenda — and regulators are catching up fast. The EU AI Act, ISO 42001 and sector rules mean you need to know what AI you run, how risky it is, and how it's controlled. We help you inventory and risk-rate your AI, put proportionate guardrails and testing in place, and build the lightweight governance that lets you innovate with confidence — and evidence.

// WHAT YOU GET
AI system inventory & risk classification
EU AI Act / ISO 42001 gap assessment
Guardrails, policy & control set
Bias, safety & red-team test results
Monitoring & audit-trail setup
Governance operating model & roadmap
01 // WHAT WE DELIVER

Responsible AI you can evidence to regulators

AI Risk Assessment

Inventory, classify and risk-rate your AI systems.

Regulatory Readiness

EU AI Act, ISO 42001 and sector requirements.

Guardrails & Controls

Policy, filtering and safe-use enforcement.

Bias & Safety Testing

Evaluation and red-teaming for real-world risk.

Monitoring & Audit

Continuous oversight with full audit trails.

Governance Operating Model

Roles, reviews and accountability that scale.

02 // HOW WE WORK

From AI risk to demonstrable trust

01

Inventory

Find and classify AI use across the business.

02

Assess

Risk-rate against regulation and policy.

03

Control

Implement guardrails, testing and monitoring.

04

Assure

Evidence compliance and review continuously.

03 // OUTCOMES
100%
audit-ready
AI Act
aligned
0
unmanaged models
05 // FAQ

Frequently asked questions

Does the EU AI Act apply to us in the UK?

Often yes — it has extraterritorial reach where your AI outputs are used in the EU. Even where it doesn't, it's becoming the de-facto benchmark and UK guidance is converging. We assess your specific exposure.

We're just starting with AI — is governance overkill?

Governance should be proportionate. Starting early is far cheaper than retrofitting: a light inventory, risk-rating and a few guardrails prevent the costly problems that surface once AI is in production.

Can you test models for bias and safety?

Yes — we run structured evaluation and red-teaming for bias, harmful outputs, prompt-injection and robustness, and give you evidence you can show to leadership and regulators.

Do we need to slow down to be compliant?

No. Done right, governance accelerates adoption by removing the uncertainty that stalls projects — clear guardrails let teams ship AI with confidence.

Get ahead of AI regulation

Book an AI governance and risk assessment.

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