Engagement format
Verifiable AI System Diagnostic
A review of workflow, data, architecture, evaluation, and risk before the next investment.
Describe the taskProblem framing
What must be resolved
A team is considering a model, integration, or further investment without a shared view of the workflow, sources, baseline, unacceptable failures, and decision owner.
Fit
Suitable for
For a team with an idea, requirements, or a prototype but no coherent view of data readiness and quality criteria.
Deliverables
What remains after the engagement
- Workflow and source map
- Risk register
- Evaluation plan
- First-experiment scope
Process
How the work proceeds
- 01Context
- 02Material review
- 03Working session
- 04Report and decision
Boundaries
Risks checked early
- Incomplete data access
- No decision owner
- Success criterion based on impression
FAQ
One practical question
Do we need a working prototype?
No. The diagnostic can start from the workflow and available sources.
Scope and cost
Evidence before an estimate
I do not publish a fictional ‘from’ price. Scope and estimate follow a review of the workflow, material access, risk, expected artifact, and acceptance criterion.
Start by describing the workflow
The first response will identify whether this format fits and what is needed for an honest scope.