Export (R26)
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- Report version
- trial-sample-r26.v1
- Methodology version
- 1.0.0
- Scoring model version
- 1.0.0
- Intelligence pack version
- 1.0.0
Capability zone: Action-taking
Readiness report
Sample: Order-routing assistant
A buyer-safe snapshot. Score band, findings linked to Learn pages, evidence expectations, and AI landscape relevance.
Readiness score
Medium band
Report-linked guidance
Every finding links to Learn, controls, evidence, and an improvement action
- high
Action authority
Action authority not bounded
Why it matters. The agent can write to production records without a documented scope limit. A misunderstood prompt could affect data outside the intended workflow.
Related control family
Action authority
Evidence example
Document the exact set of record types + operations the agent is allowed to perform, plus a denylist for everything else.
Improvement action
Pin a written action-authority scope and have the agent owner sign it.
- medium
Human oversight
No human approval on consequential drafts
Why it matters. Drafts that change customer-visible records ship without a human reviewer. A bad draft becomes a bad customer-facing message.
Related control family
Human oversight
Evidence example
Show the reviewer queue, the SLA, and a transcript of one approved + one rejected draft.
Improvement action
Add a reviewer queue with a 4-hour SLA and a documented escalation path.
- medium
Testing & evidence
Testing and evidence is thin
Why it matters. There is no documented test suite for the agent's refusal patterns and no archive of audit traces. A regression would be invisible.
Related control family
Testing & evidence
Evidence example
Refusal-pattern test transcripts + a 30-day audit-trace archive.
Improvement action
Stand up an adversarial-prompt test suite and archive every audit trace for 30 days.
Related Learn
Evidence expectations
What good evidence looks like — and how AgentProof uses it
Refusal-pattern transcripts
Why it matters. Refusal patterns are the cheapest control. They prevent the agent from doing something it shouldn't.
Good example
A transcript showing the agent declining an out-of-scope request with a calm, branded message.
Weak example
A screenshot with the agent's reply cropped out.
How AgentProof uses it. AgentProof reads refusal transcripts as the primary evidence for Zone 1 readiness.
Draft provenance
Why it matters. Drafts must be clearly labelled so a reviewer knows what they are reading.
Good example
A draft with a provenance footer: agent, model, source data, draft timestamp.
Weak example
A draft pasted into a chat with no provenance.
How AgentProof uses it. AgentProof scores Zone 2 readiness against the provenance footer.
Audit trace + rollback rehearsal
Why it matters. If the agent takes an action, the audit trace and rollback path must both exist.
Good example
An audit row with actor identity, before/after, timestamp + a rehearsed rollback playbook.
Weak example
A log line with just a timestamp and no actor identity.
How AgentProof uses it. AgentProof scores Zone 3 readiness against the audit trace + rollback evidence.
AI landscape relevance
When radar changes may require a reassessment
AgentProof watches public agentic-AI guidance. Every change goes through a human review gate before it affects any report you've already shared. We never silently rewrite scores.
Action authority scoping guidance update
Under human reviewIndustry guidance is tightening the language around bounded action authority. AgentProof is reviewing whether to incorporate.
Reassessment. If approved, this would require a reassessment of any Zone 3 agent in your workspace. Human approval gate not yet passed.
Audit-trace evidence expectations
Approved — affects future reportsAgentProof now expects actor identity in every audit trace example.
Reassessment. Existing reports stay intact. New reassessments will use the updated expectation.
Refusal-pattern depth for Zone 1
WatchingExternal research is exploring deeper refusal patterns for informational agents. AgentProof is monitoring.
Reassessment. No change to existing assessments. AgentProof never silently updates scores — human review gate applies first.
Where to go next
Section 7 — Methodology and version
How this report was produced
- Methodology version
- AgentProof readiness methodology v1 (live)
- Intelligence pack
- R13-A controlled source watchlist (curated)
- Report layout
- R17-EXPANDED ReportProfessionalLayout (7 sections)
- Honest disclaimer
- Readiness assessment based on AgentProof's published methodology. Not legal advice. Not compliance certification. Not an endorsement of any third-party platform.