Governance that people can actually follow.
AI governance does not need to be a giant policy binder. It needs to answer everyday operational questions clearly enough that people can make better decisions while doing real work.
Contempo governance work focuses on use boundaries, data handling, human review, documentation expectations, escalation paths, and continuity of AI-supported workflows.
Questions governance should answer
- Which AI tools are approved for which kinds of work?
- What information cannot be pasted into external tools?
- Which outputs require human review before use?
- Who owns mistakes, corrections, and final decisions?
- What prompts, outputs, and decisions should be preserved?
- What happens when a tool changes, fails, or produces unreliable work?
Governance products
AI use policy
A practical policy that distinguishes allowed, restricted, and prohibited AI use cases.
Data and context rules
Plain guidance for sensitive information, client data, internal records, account details, and confidential material.
Review model
Requirements for checking outputs, approving use, and correcting or rejecting model-generated work.
Documentation standards
Rules for saving useful prompts, decisions, workflow notes, outputs, and lessons learned.
Exception path
When the workflow is unusual, risky, or urgent, people need to know who decides and what gets recorded.
Continuity tie-in
AI becomes part of operations, so governance should connect to recovery, handoff, and knowledge preservation.
Useful standard: if the business cannot explain how AI is being used, who checks the result, and where the knowledge goes, the workflow is not mature yet.