Four weeks. Fixed fee or outcome-based pricing. A clear picture of how AI is really being used inside your organization, and where you are exposed.
Every leadership team has an AI policy. Almost none can say what is actually happening on the ground. A firm spread across a dozen offices ends up with a dozen versions of that policy, and a gap between what people are doing with AI and what the organization has promised, in writing, it would do. That gap is the risk.
A tight, senior-led sequence. Scope is agreed up front and the fee is fixed.
An AI risk and governance review establishes where AI is actually being used inside an organization and whether that use matches what the organization has committed to. Hive's review runs four weeks, priced as a fixed fee or on outcomes. We map real usage across teams and practice groups, test it against contracts, engagement letters and stated commitments, and deliver a prioritized, board-ready governance roadmap that leadership can act on.
Our AI Risk & Governance Review takes four weeks and is priced as a fixed fee or on outcomes. Scope is agreed up front in the first stage, covering the boundaries, the teams in scope and the questions that matter most. The rest of the work follows a set sequence of discovery, reconciliation and a roadmap readback, with senior advisors involved throughout and no handoff to junior staff.
A written AI policy rarely shows what is actually happening on the ground, and the gap between the two is where the risk usually sits. What we typically find is that an organization spread across many offices ends up with many informal versions of the same policy. The review maps real usage and lines it up against what your contracts and client commitments already obligate you to, which is where most exposure tends to hide.
At the end of the review, leadership receives a usage map, a commitment reconciliation, a risk register and a board-ready roadmap. The usage map shows where AI lives across the organization in practice. The reconciliation tests that usage against contractual and client obligations. The risk register prioritizes exposure by severity, and the roadmap sets out a governance plan leadership can act on now, rather than a lengthy report that goes unused.
Contracts and client commitments create AI risk when the way people actually use AI departs from what the organization has promised in writing. Engagement letters and client agreements can carry obligations about how work is done and how information is handled, and staff adopting AI tools may not have those terms in mind. Reconciling real usage against those commitments is the part of the review where we most often find exposure.
A senior Hive advisor will walk you through what an AI Risk and Governance Review would surface in your organization.
30 minutes · No pitch · Senior advisor · NDA available