AI Governance
Decide before you implement. Measure before you govern.
An operating framework that brings readiness, delivery, risk and trust under a single measure, before AI becomes an audit problem.
When you need it
The four dimensions
Governing AI is not about writing a policy and filing it away. It means making four usually disconnected areas measurable: how ready you are, how well you execute, how exposed to risk you are, and how far the organisation trusts what it has built.
AI Readiness
preparedness: strategy, governance, data, infrastructure, skills, culture
AI Delivery
execution: processes, MLOps, integration, scalability, monitoring
AI Risk
risk governance: compliance (EU AI Act, ISO/IEC 42001), ethics, bias, security, privacy
AI Confidence
real adoption: board commitment, user trust, perceived robustness
References: EU AI Act (risk-based approach), ISO/IEC 42001 (AI management system), NIST AI Risk Management Framework and OECD AI Principles are governance inspirations, not guaranteed compliance. ZeroFive.AI is not a law firm: for formal regulatory alignment we work with qualified legal partners. See the full map in Compliance AI →
Where you start
AI Rating
We measure the four dimensions with a 1 to 5 rating and a maturity class from D to A. Class A is reserved for the verified assessment with structured interviews.
Discover AI RatingFrequently asked questions
Is AI governance just compliance?
No. Compliance is a consequence. Governance is the method you use to decide where AI makes sense, who is accountable and how progress is measured.
Do we need a lawyer or a DPO first?
No. You start from measurement: the AI Rating photographs the current situation, then we define together who to involve on the regulatory side.
Are you a law firm or a certification body?
No. We are governance and decision infrastructure advisors. We do not issue certifications and we do not give binding legal opinions.
What if we have no policy at all today?
That is the most common starting point. The AI Rating identifies the critical gaps and the roadmap starts from there.
Does governance slow AI projects down?
It slows down badly framed projects. It accelerates the ones with a solid use case, because it removes rework caused by premature decisions.
How often should it be reviewed?
We recommend a measurement every 12 to 18 months, in line with the AI Rating re-assessment cycle.
Starting an AI consulting engagement in three steps
A clear path from first contact to the investment decision, with no upfront commitment.
30-minute call
We frame goals, constraints and risk level. No licences to sell, no channel agreements.
Preliminary assessment
With AI Rating we measure AI maturity on a 1-5 scale and the distance from EU AI Act and ISO/IEC 42001 requirements.
Tailored engagement
We define priorities, timing and ownership: validation with PROTOT.AI and, if the case holds, governed production rollout.