Context intake
Mission, workflow, systems, and authority path.
Design framework
BBI Explainability Trace
Illustrative framework · not live system output
Five fields every governed decision should answer
Sample copy showing the BBI Edge explainability standard — used in diagnostics, architecture reviews, and audit-friendly design.
DecisionOutput
EvidenceSources
RiskFlags
ReviewHuman gate
NextAction
- Decision
- Route AI readiness request to diagnostic review.
- Evidence reviewed
- Workflow risk, system context, proof availability, and human authority path.
- Risk signal
- Medium — evidence and ownership must be confirmed before implementation.
- Human-review gate
- Required before automation or client-facing recommendation.
- Next action
- Prepare scoped diagnostic brief.
The BBI standard
Every system answers five questions.
Interactive scenario examples — the architecture standard behind every build.
01 · OUTPUT
Worked example · Manufacturing ops
What did it decide?
Hold Purchase Order #4471 for review before release.
Government AI readiness workflow
A preparation path for agencies and regulated buyers — evidence and human gates first. No certification, procurement approval, or award claims implied.
Risk & evidence map
Where proof is thin and review is required.
Readiness diagnostic
Scoped findings operators can act on.
Governed next step
Build, remediate, or pause — with human ownership.
Explore the topic page: Government AI Consulting.