Institutional Case Notes
Anonymised records of pre-deployment assessments conducted by PreMetric. Each note documents the governance conditions present at the time of review and the outcome recommendation — Approve, Modify, Reassess, or Stop — together with the primary factors that determined that outcome.
These case notes are not case studies or retrospective analyses. They are records of live pre-deployment decisions. All identifying details have been removed. The purpose is to illustrate the range of governance conditions encountered in practice and the institutional reasoning that leads to each class of outcome.
Decision outcomes as institutional evidence
Organisations commissioning pre-deployment review rarely have access to what that process looks like in practice across different sectors and governance environments. These case notes address that gap by documenting, at the level of governance conditions and decision logic, what determines whether an AI initiative proceeds, is modified, is deferred for reassessment, or is stopped.
The pattern that emerges from these records is consistent: outcomes are determined less by technical performance than by the quality of the pre-commitment governance — the accountability assignment, documentation standards, and deliberative process in place before review.
Outcome classifications
Governance conditions meet the institutional standard for defensible deployment. The pre-commitment process is sufficiently documented and accountability is clearly assigned.
Deployment may proceed subject to specific governance modifications. Identified deficiencies are remediable before commitment without requiring full reassessment.
Material governance gaps prevent a confident assessment. The initiative requires additional process work before a defensible deployment decision can be made.
Governance conditions or risk profile make deployment at this stage indefensible. The pre-commitment record does not support proceeding regardless of technical performance.
How to read these notes
Each note identifies the sector, the nature of the AI initiative, the governance conditions present at review, the primary factors that informed the outcome, and the recommendation issued. Notes do not disclose financial or technical details beyond what is necessary to understand the governance context.
Pre-deployment assessment records
All records are anonymised. Sector, year, and outcome are disclosed. Identifying details have been removed or generalised.
Practitioners and governance teams
These case notes are most useful to those engaged in structuring or evaluating AI deployment governance — and to those commissioning pre-deployment review for the first time.
Executives preparing for pre-deployment assessment
These notes provide a realistic picture of what pre-deployment review examines, what governance conditions are typically found inadequate, and what determines whether an initiative can proceed without modification.
Boards and oversight committees
The case notes illustrate the range of governance conditions that present themselves in AI deployment decisions, including conditions that are common and that boards should expect to see addressed in management's pre-deployment process.
Legal and compliance functions
The outcome classifications and factors recorded in each note provide a reference for the governance conditions that create institutional exposure — and the conditions that, if documented, would have supported a more defensible outcome.
Researchers and policy analysts
These records contribute to the evidence base on how AI deployment governance operates in practice — what conditions organisations present at the pre-commitment stage, and how outcome recommendations distribute across sectors and governance environments.
Explore other categories
Case notes are grounded in the analytical frameworks published across the other insight categories.