W-F. DORA readiness for the AI system as ICT (art-29) -> AI Act Article 15 robustness/cybersecurity conformity (ART-65) -> integrity over the combined evidence (cry-04). Maps where DORA ICT-risk duties and AI Act high-risk duties overlap for a financial AI system.
run_dora_readiness_diagnostic{
"jsonrpc": "2.0",
"method": "tools/call",
"params": {
"name": "run_dora_readiness_diagnostic",
"arguments": {}
},
"id": 1
}
build_ai_conformity_pack{
"jsonrpc": "2.0",
"method": "tools/call",
"params": {
"name": "build_ai_conformity_pack",
"arguments": {}
},
"id": 1
}
verify_merkle_batch{
"jsonrpc": "2.0",
"method": "tools/call",
"params": {
"name": "verify_merkle_batch",
"arguments": {}
},
"id": 1
}
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: Supervisors asked for our DORA position on the AI platform. Where does the readiness grade sit once the twelve control answers are recorded?
Run the AINumbers MCP tool `run_chain` with {"chain":"ai-governance-resilience-overlap"} and read `art-29-dora-readiness-diagnostic.grade`.
Re-run with `inputs` for `art-29-dora-readiness-diagnostic`, reusing the values that result echoed, with `answers` changed so q1 through q12 are each yes. Compare the same field.
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/ai-governance-resilience-overlap.html