"Agent halted → human X answered in T → decision D" as protocol-native evidence. A work mandate compiler establishes the supervision context, an agentic AI autonomy/risk classifier grades the agent, and a gate routes: a failing grade escalates to human review (OCG §22.8 HALT, open record); any passing grade records the decision directly into an EU AI Act Art 12(2)-conformant decision log. Built for an AI-Act Art.12 obligated deployer or a supervised-autonomy desk needing replayable escalation-SLA evidence, not for asserting a broader certification.
compile_work_mandate{
"jsonrpc": "2.0",
"method": "tools/call",
"params": {
"name": "compile_work_mandate",
"arguments": {
"mandate": {
"mandate_type": "work_mandate",
"scope": {
"tool_ids": ["art-67-agentic-ai-risk-classifier", "art-236-build-ai-decision-log-record"],
"chains": []
},
"conditions": [],
"escalation_triggers": [
{"pointer": "/overall_grade", "op": "eq", "value": "F"}
]
}
}
},
"id": 1
}
rule[0]: if output.overall_grade == "F" → next: escalate (§22.8.2 HALT + open record) default: → next: art-236-build-ai-decision-log-record
classify_agentic_ai_risk{
"jsonrpc": "2.0",
"method": "tools/call",
"params": {
"name": "classify_agentic_ai_risk",
"arguments": {
"autonomy_level": "supervised",
"financial_use_case": "other",
"human_oversight": "review-before-action",
"model_type": "GPAI",
"systemic_designation": "no",
"training_compute": 0,
"transparency": "none",
"gpai_documentation": "none",
"systemic_risk_eval": "n/a",
"downstream_highrisk": "false"
}
},
"id": 2
}
build_ai_decision_log_record{
"jsonrpc": "2.0",
"method": "tools/call",
"params": {
"name": "build_ai_decision_log_record",
"arguments": {
"model_id": "supervised-agent-v1",
"model_version": "1.0.0",
"input_digest": "abc123def456abc123def456abc123def456abc123def456abc123def456abcd",
"output_digest": "def456abc123def456abc123def456abc123def456abc123def456abc123def4",
"decision_label": "AUTONOMY_TIER_LOGGED",
"confidence": 0.9,
"override_flag": false,
"subject_ref": "SYNTHETIC-AGENT-SESSION-001",
"retention_months": 12,
"operator_id": "supervised-autonomy-desk"
}
},
"id": 3
}
Copy this paragraph into Claude, OpenClaw, or any MCP-aware agent to run this whole workflow on the server and check one field that answers a real question.
Question: Our agent amends orders with no human in the loop. Which oversight tier and GPAI duties apply to it under the AI Act?
Run the AINumbers MCP tool `run_chain` with {"chain":"escalation-sla-supervised-autonomy-receipt"} and read `art-67-agentic-ai-risk-classifier.autonomy_oversight_verdict`.
Verify: call `verify_execution_hash` (https://mcp.ainumbers.co/mcp) with `claimed_hash` set to `composite_execution_hash` and the full `composite_artifact`.
Ledger, for a human re-check: https://ledger.ainumbers.co/
PII rule: send synthetic or anonymised inputs only. The MCP server runs these kernels and logs no payloads.
Chain page: https://ainumbers.co/chaingraph/chains/escalation-sla-supervised-autonomy-receipt.html