Who Decides When AI Disagrees?
When agentic AI systems propose product features, timelines, or prioritization strategies that contradict human intuition, stakeholder input, or market feedback, who has ultimate authority?
Sub-questions:
- How is trust established and calibrated between product managers and AI agents?
- What oversight structures work when AI operates across cross-functional domains without human-in-the-loop intervention?
- Who is liable when autonomous agents make high-stakes decisions?
- How do organizations maintain compliance with AI regulations when AI decisions evolve continuously?
This is the governance question at the heart of agentic AI adoption, and most organizations haven’t answered it.
Related: 07-atom—distributed-agency, 05-atom—automation-augmentation-paradox