AI Agent Handoff
AI agent handoff is the process by which an AI agent transfers control of a task to a human operator when the situation exceeds the agent's confidence threshold, competence boundary, or configured escalation rules, including the context package that enables the human to resume without re-investigation.
Why It Matters
The handoff is where most enterprise AI deployments fail. Either the agent never escalates (creating risk) or it escalates everything (creating noise). The quality of the handoff determines whether the human starts informed or starts investigating from scratch.
The FourKites Perspective
FourKites agents escalate with the complete Decision Trace: what triggered the workflow, what data was gathered, what intelligence was consulted, what actions were attempted, and what responses were received. The human does not re-investigate. They start with full context and make the judgment call the agent could not. Escalation rules are configurable per customer, per workflow, per risk threshold.