Find out what to do when an AI project meets technical requirements but fails governance checks. Learn why requesting revisions protects compliance and prevents risk.
Question
Table of Contents
During a milestone review, the deliverable meets functional requirements but fails governance validation. What should the project manager do?
A. Escalate and bypass governance
B. Reject the project entirely
C. Request revisions to address governance compliance
D. Approve since functionality works
Answer
C. Request revisions to address governance compliance
Explanation
When an artificial intelligence deliverable hits all its functional marks but fails governance validation, the correct managerial decision is to request targeted revisions. AI projects cannot survive on technical performance alone. A machine learning model might generate highly accurate predictions, process large datasets seamlessly, and meet every end-user requirement perfectly. However, if that same model violates data privacy laws, exhibits algorithmic bias, or lacks proper security protocols, it remains completely unfit for deployment. Governance acts as the essential protective boundary around the technology.
Sending the deliverable back for revisions allows the engineering and data science teams to implement the missing compliance controls without throwing away the valuable functional progress they have already achieved. The project manager must outline the specific governance gaps—such as missing data lineage documentation, inadequate fairness testing, or incomplete security audits—and instruct the team to correct them. This approach keeps the initiative moving forward safely.
Approving the deliverable simply because the code runs is a highly irresponsible decision. In an enterprise environment, deploying a non-compliant artificial intelligence model invites severe legal penalties, heavy regulatory fines, and long-term damage to consumer trust. Functional success never outweighs ethical and legal compliance requirements.
Similarly, attempting to bypass governance through executive escalation introduces unacceptable risk. Corporate governance frameworks exist specifically to prevent unchecked, potentially harmful technology from reaching the public or accessing sensitive internal data. Trying to override these mandatory safety checks just to meet a delivery deadline compromises the integrity of the entire organization.
Conversely, rejecting the project entirely over a failed validation check represents a massive waste of time and budget. The technical foundation already works. Trashing months of expensive development because of a missing security layer or a documentation error makes zero financial sense.
A successful project manager must balance delivery speed with institutional safety. By mandating targeted revisions, you protect the business from legal exposure, maintain strict quality standards, and guide the technical team to finish the job correctly.