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AI agent handoffs: preserve evidence and accountability

2 min reading
Editorial illustration: AI agent handoffs: preserve evidence and accountability

Commission AI agent handoffs that separate facts, hypotheses and pending work while preserving source evidence and final execution accountability.

One agent may research while another executes. A handoff containing only a summarized conclusion can lose caveats, data provenance and the limits of received authorization.

The design to commission

Handoff packages should distinguish consulted facts, hypotheses, unfinished work and authorized actions. Do not treat another agent's recommendation as fresh permission. Retain source references and the input version without moving unnecessary data among participants. Define the final decision owner and steps requiring human review. Before selecting several agents, compare a single workflow with separated functions: distributed intelligence increases coordination and does not inherently guarantee quality. Explain disagreements, worker replacement and incomplete results. When an agent reports missing evidence, that limitation must survive summarization. Executors must check their own tool requirements instead of assuming the previous stage performed every check. The purchased outcome is verifiable coordination, not a conversation in which accountability disappears. Demonstrate the actual transfer structure rather than relying on a reassuring description of collaboration between specialist personas.

Supplier criteria

  • Separate facts, hypotheses and pending work in handoffs.
  • Preserve authorization without enlargement by internal recommendations.
  • Identify the final owner and inspectable source references.

Acceptance with an exception

In hypothetical testing, a researcher finds conflicting information and transfers the case. The executor should preserve the conflict and request review rather than turn a hypothesis into a confirmed action.

Reference for assessing scope

OWASP AI application risks

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