← Expertise
AI Governance
AI governance is how you put responsible, accountable AI into practice — the policies, roles and controls that let your organisation use AI with confidence rather than uncertainty.
The essentials
What good AI governance looks like
Governance turns high-level principles into day-to-day decisions: who may build or buy AI, how it is reviewed, and how risks are caught before they reach customers or regulators.
Policies & standards
Clear, usable AI policies aligned with the EU AI Act and your risk appetite.
Roles & accountability
Defined ownership so every AI system has someone responsible for it.
Review & monitoring
Processes to assess, approve and monitor AI across its lifecycle.
How we help
From principles to practice
We design a governance framework that fits how your teams actually work — light enough to adopt, strong enough to rely on.
01
Assess
We review your current AI use, policies and risk exposure.
02
Design
A framework with policies, roles and approval flows.
03
Embed
Training and templates so governance sticks across the organisation.
Questions & answers
Do we need AI governance if we are small?
Yes. Even a lightweight framework prevents costly mistakes and builds trust with customers and partners.
Is this the same as EU AI Act compliance?
They overlap. Governance is the operating system; AI Act compliance is one requirement it helps you meet.
Who should own AI governance?
Usually a small cross-functional group — legal, product and security — with clear executive sponsorship.