
When AI Does the Work, Who Owns the Outcome?
AI introduces a new version of an old operational problem. As technology performs more tasks and influences more decisions, organizations still need to determine who owns the result, how success is measured, where exceptions go, and what happens when automation fails.
When AI Does the Work, Who Owns the Outcome? extends Donna's work on outcome ownership into AI-enabled operations, examining accountability, governance, workforce impact, operational design, and the difference between automating activity and improving an outcome.
