AI Feature Spec Pack
Document the use case, controls, edge cases, stakeholder explanation and gate decisions. Includes a completed fictional example.
Practical tools for financial-services teams: specify a feature, assess an LLM and take a clear decision through governance.
Actual pages from the AI Feature Spec Pack · Click “See Spec Pack pages” for more
Define the problem, document the model boundary, test what can fail and record who can approve the next stage. The pack gives teams a consistent structure for that work.
Built for data, risk and analytics professionals making AI product decisions inside banks and asset managers today.
Document the use case, controls, edge cases, stakeholder explanation and gate decisions. Includes a completed fictional example.
A working guide to product decisions, data and vendor oversight, testing, stage gates and regulatory applicability, with a fictional case.
Set pass conditions, log test results, compare options and record the governance decision using a scorecard and editable workbook.
Get the Spec Pack, AI PM Playbook and LLM Evaluation Scorecard with its workbook together.
Built to be completed by the delivery team and reviewed against the firm’s own controls. The worked example is fictional and clearly labelled.
From a measurable use case through edge-case testing, stakeholder explanation and production sign-off.
Six editable Word documents, including a fictional worked example. Adapt the evidence, controls and assessments to your firm.
Cover and one interior page from each of the six v1.2 Word documents. Each is shown as rendered, with its own layout and content.
The blank working template — fill in for your own AI feature
Complete fictional spec for regulatory document classification
Structured register for edge cases, bias and protected characteristics
Governance record for every production prompt or prompt chain
Script for explaining AI features to risk committees and sponsors
Four-gate checklist from discovery through to production sign-off
Define the problem, baseline and a credible non-AI option.
Set use boundaries, data responsibilities and proposed controls.
Record tests, edge cases, monitoring and human oversight.
Review pilot evidence and record the authorised decision.
Spec Room is developed by Matisse Ghaddaf, a risk and analytics delivery practitioner. The pack gives teams a structure for recording design choices, controls, evidence and governance decisions.
Career experience is provided as background. Named employers and clients do not endorse Spec Room.
“I built Spec Room around a familiar delivery problem: a promising feature reaches governance review, but the evidence, controls and decision record are scattered. These documents give teams a clearer way to prepare that discussion.”
Informed by experience delivering data and analytics work in financial services.
Prompts for evidence, risk ownership, testing and gate decisions.
Helps users assess and document applicable obligations; it does not establish compliance.
Use it as a starting framework, then attach the firm’s actual evidence, risk decisions and approvals. Templates do not replace independent validation or legal advice.
Inspect the Spec Pack pages above. The Playbook and Scorecard extend that work into product decisions and model evaluation; the bundle brings all three together.
For availability and licensing of the Playbook, Scorecard or complete bundle, contact Spec Room directly.