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Compliant refund

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Compliant

Declared intent (policy-as-data)

Agent
RefundOps Agent · state completed
Assigned goal
Resolve a customer refund request using only approved customer lookup, policy check, and refund tools.
Allowed tools
customer_lookuppolicy_checkrefund_create
Required steps
evidence_retrievedexecute_toolchat
Prohibited
wire_transferexfiltrate_customer_data

Cost-after-drift attribution (SQL window / FILTER)

$0.04
total run cost
$0.00
spent before drift
$0.00
spent AFTER drift
0%
of spend wasted post-drift
-
first drift at step

Drift findings (deterministic rules + pgvector)

No drift. Every action stayed within declared policy and on-goal.

Trace timeline (OTel GenAI-aligned, JSONB)

#1evidence_retrieved
Retrieved order history and refund policy evidence.
model claude-sonnet · tokens 120/80 · cost $0.01
#2execute_toolcustomer_lookup
Confirmed customer identity and eligible order.
model claude-sonnet · tokens 100/60 · cost $0.01
#3chat
Explained the approved refund to the customer.
model claude-sonnet · tokens 90/50 · cost $0.01

Tamper-evident audit chain (sha256 in SQL)

Audit verifiedchain length 3
last hash d8bf2d382b31724d957e0dbf73776e915ac860a075ba0479bb1c9cde4e3d59f6
Recomputed sha256 chain matches stored hashes for all 3 events. The record is provably unaltered (EU AI Act Art. 12).

Compliance evidence bundle

EU AI Act Article 12 audit bundle: who / what / when / why (verified hash chain) + findings + cost attribution + per-event hashes, assembled in SQL.

Export Art. 12 bundle (JSON)