The first wave of organisational AI adoption was mainly about capability. What can these tools do? How much time can they save? Which processes can they improve? The question driving most AI investment was whether the technology worked well enough to be useful. That question has largely been answered. For a wide range of business […]
There is a meaningful difference between using AI responsibly and being able to demonstrate responsible AI usage. Most organisations are trying to do the former. Far fewer have invested in the governance infrastructure that makes the latter possible. That gap is becoming commercially significant. Enterprise customers are starting to include AI governance requirements in procurement. […]
Governance theatre is what happens when an AI governance framework produces all the right artefacts – policies, processes, risk registers – without producing any of the substance behind them. The documentation looks complete. The controls are documented. The right language appears in the right places. And the actual governance is largely non-functional. It is […]
Most governance conversations focus on what controls to put in place. The question of who reviews whether AI oversight is actually working – and whether that reviewer is positioned to give an objective answer – gets considerably less attention. That gap matters. A governance programme reviewed only by the people responsible for it is not […]
AI assurance is a term used with increasing frequency and decreasing precision. It appears in board papers, regulatory guidance, procurement requirements, and marketing materials from consultancies of every size. The result is a term that is simultaneously ubiquitous and vague. Everyone agrees it matters, and almost nobody means quite the same thing by it. That […]
