Agentifact assessment — independently scored, not sponsored. Last verified Mar 6, 2026.
Agent-to-Human Protocol (A2H)
Emerging standard for structured handoffs from autonomous agents to human reviewers. Covers escalation triggers, context packaging, and response routing.
Viable option — review the tradeoffs
Your autonomous agents stall, hallucinate, or take unsafe actions without reliable human oversight, risking errors in high-stakes tasks.
Expect secure, auditable handoffs with replay protection and signed responses; works across email/Slack/UI but requires custom gateway for non-standard channels.
Agents lack discoverable human collaborators, forcing ad-hoc interrupts that waste compute and break workflows.
Smooth hybrid collaboration with checkpointing; strong on explainability via justifications/confidence scores, but adoption varies by framework.
Emerging Standard
Limited native support outside MCP frameworks; requires building or integrating gateways for full channel/auth extensibility.
A2H focuses on human handoffs; A2A enables agent-agent interoperability.
Need secure escalations to humans for approvals or clarifications.
Building multi-agent systems without human loops.
Gateway Dependency
Agents block without a reliable A2H gateway for response routing; implement fallback timeouts and monitor channel delivery to avoid stalls.
Trust Breakdown
What It Actually Does
Lets autonomous agents pause their work and pass decisions to humans with all relevant context when they hit uncertain situations, then routes the human's response back into the workflow.
Emerging standard for structured handoffs from autonomous agents to human reviewers. Covers escalation triggers, context packaging, and response routing.
Fit Assessment
Best for
- ✓agent-communication
- ✓human-approval
Score Breakdown
Protocol Support
Capabilities
Governance
- permission-scoping
- audit-log
- replay-protection