Strategy & Operating Model
Governance operating models, committee and decision rights design, and the accountability structures that make oversight real.
Build governance that enables AI adoption while managing risk, accountability and regulatory obligations.
Organisations are adopting AI faster than they are governing it. The gap is rarely intent — it is visibility, ownership and evidence. Governance that exists only on paper offers no protection at the moment a decision is challenged.
Yunique AI works with boards, executives and risk owners to design governance that operates in practice: a current view of where AI influences decisions, named accountability for those decisions, and controls embedded in how the organisation already works. Where it brings value, engagements are structured using CLEAR — the proprietary methodology for building AI governance that can be traced, evidenced and defended.
Capabilities
Governance operating models, committee and decision rights design, and the accountability structures that make oversight real.
Risk reviews, control design, and assurance over whether stated governance can be evidenced.
Gap analysis against AI management and regulatory requirements, with a prioritised path to a defensible position.
Risk, impact, affected groups, mitigations — and the evidence trail behind each judgement.
Governance built into procurement, development, release and incident processes — delivered, not just recommended.
Standards & regulatory context
How engagements run
Engagements can begin at any point in the lifecycle and run as far as the work requires. Yunique AI is not advisory-only — design and implementation are part of the capability, so governance is delivered rather than only recommended.
Start with a baseline, or talk to us about a broader requirement.