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AI Governance Advisory
Governance frameworks for regulated organisations that need accountability structures, not vendor pitches.
AI governance is not a compliance exercise. It is the operational infrastructure that determines whether AI works for your organisation or against it. Ungoverned AI adoption creates reputational exposure, regulatory risk and operational fragility. Governed AI outperforms it on every dimension that matters.
What AI governance means in practice
- Policies, accountability structures and risk management frameworks
- Oversight mechanisms that work in practice, not just on paper
- Board-level and operational-level governance addressed together
- Built for regulated environments: legal, financial services, state bodies
- Independent of any technology platform or vendor relationship
Why this matters now
Boards and executives are being asked to sign off on AI systems without the frameworks to evaluate them. Regulators are moving. Reputational standards are rising. Organisations that govern AI deliberately are already separating themselves from those that do not.
The Acuity approach
We build governance frameworks from the inside out — starting with how your organisation actually uses AI, then constructing the accountability structures and policies that hold. No generic templates. No platform to sell. Independent, structured, and grounded in operational experience at the most senior level.
Common questions
What is an AI governance framework?
An AI governance framework is the set of policies, accountability structures, oversight mechanisms and risk controls that determine how AI is used, monitored and held to account within an organisation. It covers who is responsible for AI decisions, how AI systems are reviewed before deployment, what happens when AI causes harm, and how compliance with regulation is maintained. A governance framework is not a one-off document — it is operational infrastructure that evolves as AI use evolves.
Do Irish companies legally need an AI governance policy?
Under the EU AI Act, organisations deploying high-risk AI systems are required to have documented governance and oversight measures in place. For high-risk categories — which include AI in HR, credit decisioning, insurance, and customer-facing automated decisions — a governance policy is a legal obligation, not an option. For lower-risk AI use, governance is best practice and a significant reputational and liability safeguard. Ireland's AI Office becomes fully operational in August 2026, after which enforcement is active.
How long does an AI governance review take?
A structured AI governance review with Acuity AI typically takes four to six weeks from initial diagnostic to delivery of a governance framework and implementation roadmap. The timeline depends on the complexity of your AI use, the number of systems in scope, and the maturity of your existing policies. The output is a governance framework you can implement, not a report that sits on a shelf.
Can you build a governance framework for a non-technical organisation?
Yes. Most of our clients are not technology companies — they are professional services firms, financial institutions, state bodies and regulated organisations that use AI as a business tool. Governance frameworks are built around your actual operations, not abstract technical standards. The language, structures and accountability mechanisms are designed for the people who will use them, not for engineers.
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