Provenance
Where the method comes from, and what is still a hypothesis.
GOVBRM is a practitioner-developed operating method for shaping AI demand, governing autonomy, connecting investment to adoption and forcing value realisation. It draws on Business Relationship Management and is designed to sit alongside existing governance. This page says exactly what it draws on, what is original, and what has and has not been validated.
Sources and lineage
Ideas used, expression our own.
- BRM Body of Knowledge (BRM Institute). The intellectual lineage: relationship as a strategic capability, demand shaping, value realisation and value optimisation. GOVBRM uses these ideas and expresses them in its own words for the problem of AI demand. No text, diagrams, tables, course material or assessment material from the Body of Knowledge is reproduced.
- UK public guidance. The AI Playbook, the Technology Code of Practice, the Service Standard, the Data Ethics Framework, the Algorithmic Transparency Recording Standard and the Green Book were read and are referenced by name in the crosswalk. Nothing is reproduced beyond names and the numbering of published principles.
- Standards. The NIST AI Risk Management Framework and ISO/IEC 42001 are named as the layers GOVBRM sits beside. Neither is reproduced, and GOVBRM is not certified against, affiliated with or endorsed by their publishers.
- Trade marks. Framework, standard and method names belong to their owners. GOVBRM claims none of them.
What is original to GOVBRM
The parts written here first.
- The six-gate front door (Request, Shape, Rank, Commit, Build, Review) as a model of AI demand rather than of delivery
- The twenty canvases, their fields, prompts and scales
- The autonomy ladder as a shaping question: the lowest rung that solves the task
- The value conversations workbook: planning, realisation and optimisation as three distinct conversations
- The month-nine default and the review that sends lessons back to the front door
- The AI Value Operating Model diagram and the architecture of the Academy around it
Status of each mechanism
Established, adapted, original, or hypothesis.
| Mechanism | Status | Basis |
|---|---|---|
| User need before technology; the request is not the need | Established | Service Standard; the BRM Body of Knowledge on demand shaping |
| Deployment is not use; adoption measured from the work | Established | Change management and benefits management practice |
| Value as a range with named conditions | Adapted | Benefits management and appraisal practice on uncertainty and optimism bias |
| Three value conversations | Adapted | The BRM value lifecycle, split into distinct conversations |
| Six gates and the routing model | GOVBRM original | Practitioner design; tested in the toolkit, not yet in a controlled study |
| Autonomy ladder, five rungs | GOVBRM original | A shaping device. As a proxy for risk it is a hypothesis: autonomy is one dimension of risk, not a risk score |
| Scoring weights and thresholds (readiness, vendor bands, exposure floors) | Hypothesis | Initial calibration parameters, version 1.0, to be adjusted through use and evidence |
| Month-nine review | Hypothesis | A default review point, not a rule; set it from the intervention's value curve |
| Twenty canvases, ninety-minute working sessions | GOVBRM original | Practitioner design; the lanes in the crosswalk keep the burden proportional |
How it was developed
From practice, in public, and not yet independently validated.
GOVBRM was written by one practitioner from the receiving end of AI requests in public and regulated organisations, worked out in public in the GOVBRM Newsletter through 2026, and turned into the toolkit, the course and the workbook. It has not yet been through pilot organisations, controlled comparisons or inter-rater studies, and no outcome statistics are published because none have been measured yet. Written from practice is a claim about provenance, not about validation, and the two are kept apart on this site.
Known limitations
- The risk canvas is a triage device, not a full risk methodology: it does not weigh likelihood against impact, velocity, detectability or systemic effect, and it routes to the assessments that do
- The value range is not a Green Book appraisal and the business case canvas does not replace a five case model business case
- The public value of a decision, who bears the benefit and the cost and who has no seat at the table, is asked but not yet modelled
- Sustainability and enterprise architecture are routed to, not covered
- The method is founder-led; there is no external advisory group yet
Version history
One version so far.
- 1.0, 13 September 2026
- Twenty canvases, the six-gate front door and the AI Value Operating Model published; the free course, the Academy pages, the Value Orchestration Workbook and this provenance page added; calibration parameters marked as initial.
What comes next
- Calibration of weights, thresholds and review points through use, with changes recorded here
- An external advisory group across BRM, public service, service design, AI governance, security, commercial, accessibility and equality, with published conflicts of interest
- Anonymised evidence from implementations: what changed at the front door, in ownership, in measured value
- A maturity model and, later, an implementation standard organisations can assess themselves against
GOVBRM is a personal project and is not affiliated with, endorsed by or produced on behalf of any employer, government or public body, past or present. Questions about provenance go to the GOVBRM LinkedIn page.
