Who Answers for the Agents? Accountable AI and human ownership

Discover the framework for making humans answerable for AI agent outcomes

Regulators and courts are already answering the accountability question for organizations that haven't answered it themselves. Learn why human ownership of AI outcomes is the missing piece in your AI strategy.

  • Understand S.T.E.E.R.: Standards, Transparency, Effects, Enforcement, Responsibility
  • Learn why one named owner per AI use case is the model that scales to 1,000 agents
  • Discover how organizations with named ownership score 2.6/4 on AI maturity vs. 1.8 without
  • Build the governance architecture that turns compliance into competitive speed
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