Delivery Commitment Governance for AI Implementation Agencies

An async post-sale governance service for specialist AI implementation agencies that turns SOWs, discovery docs, solution designs, assumptions, exclusions, and change requests into a structured commitment register before delivery starts. Instead of auditing persuasive marketing language, the product identifies where the agency has made operational promises without sufficient grounding, where dependencies are unstated, where concessions are hidden in vague wording, and where acceptance criteria are disconnected from the premises required to achieve them. AE’s constraint language is used to encode each commitment with lifecycle states, evidence requirements, promotion/demotion/kill rules, and explicit owner/dependency mappings. Over time, completed projects are autopsied against the six failure patterns to show which commitments repeatedly create scope conflict, margin erosion, or client disputes. The output is a reusable delivery contract system: safer SOW language, a pre-kickoff red-flag register, and a reality-graded library of commitments the agency can confidently reuse, qualify, or retire across future projects.

The best case is that this product converts the widely documented AI governance gap into a concrete, recurring pre-delivery control system for agencies, reducing scope disputes and margin erosion where they hurt most.

Engine verdict: GATHER_MORE_SIGNAL (WORTH_SKIMMING). Clear pain and whitespace, but demand is unproven until agencies share live docs and pay before kickoff.