Compliance Report
Regulated agentic ABM run · generated 2026-05-30T11:09:41.364052+00:00
- RUN ID
a5042cea-6c6b-408d-afdd-a399a385914b
- TARGET
- Intesa Sanpaolo
- STARTED
2026-05-16T10:00:00+00:00
- FINAL PHASE
approved
This document is a structural summary of the run's audit trail.
It is not a legal opinion and does not certify compliance with
any specific regulation. It is intended to support, not replace,
review by a qualified compliance professional.
Art. 12Record-keeping
EU AI Act Article 12 requires that high-risk AI systems maintain
automatic logs of operations enabling traceability and post-market
monitoring. This section reports on the run's logging completeness
and tamper-evidence.
State snapshots
1
point-in-time state captures
Approval records
2
human decisions recorded
Notification attempts
1
Slack / email / null fan-out
Hash chain
Chain verified
All 4 entries are linked and self-consistent. This detects accidental corruption or edits made without the chaining code, but NOT an adversary with write access who re-runs the chaining. External audit needs signatures/HMAC, WORM/append-only storage, and/or external anchoring.
Art. 13Transparency & provenance
EU AI Act Article 13 requires that high-risk AI systems be designed
and developed in a way that ensures their operation is sufficiently
transparent. For an outreach pipeline, this translates into
per-output provenance: every generated assertion must be traceable
to a verifiable source.
Citation coverage
100.0%
3/3 claims
reference at least one citation
Dossier coverage
100.0%
2/2
dossiers carry backing claim IDs
Draft coverage
100.0%
2/2
drafts carry backing claim IDs
Source citations
3
primary sources consulted
Art. 14Human oversight
EU AI Act Article 14 requires that high-risk AI systems be designed
and developed in such a way that they can be effectively overseen
by natural persons. For outreach automation, this means that no
communication leaves the system without an identifiable human
decision.
HITL coverage
100.0%
2/2 drafts decided
by an identified reviewer
Reviewers
1
distinct identities recorded
Decisions logged
2
across all artifact references
Time to approval
1.0 s
first request to last decision
Decision distribution
Identified reviewers