ai-process-assessment:deliverable-gate

To validate AI engagement deliverables, run an integrity gate that cross-references markdown outputs against a central JSON source of truth. This terminal validation ensures all value claims and numeric figures match deterministic data before external sharing.

A deliverable gate in AI consulting governance is a terminal integrity check that prevents premature sharing of reports. It enforces evidence-based validation to ensure every claim in your markdown documentation is grounded in deterministic engine data.

You can audit markdown reports for fabricated numbers by running a deterministic verification process. This cross-references every numeric figure in your deliverables against a valid results.json file to ensure complete data integrity.

Yes, validating consulting deliverables requires strict adherence to the engagement folder structure. You must have a valid results.json file present in this structure to serve as the source of truth for the integrity audit.

You should run an integrity check on AI engagement documentation before presenting final roadmaps or business cases to stakeholders. This terminal gate ensures all evidence, logic, and communication readiness are verified prior to external sharing.

Yes, you can automatically verify the completeness and logic of AI reports. The validation process audits evidence, logic, and communication readiness across all engagement phases to ensure deterministic reporting.