AI Workflow Verification Matrix

AI Workflow Verification Matrix

Audience: workflow owners, QA leads, and platform engineers
Scope: agentic workflow that triages inbound requests, drafts a response, and routes low-confidence items to human review
Overall confidence: Medium
Readiness summary: Proceed with guardrails

Verification Matrix Summary

Evidence Summary

What was tested

• 12 scenario runs across normal, ambiguous, and malformed inputs
• 4 policy edge cases with conflicting instructions
• 3 retrieval scenarios with partial or missing source coverage
• 2 schema validation passes on final output structure
• 1 fault-injection pass for tool timeout behavior

Key findings

• The workflow reliably produces a human-reviewable draft when the request is well-formed and within scope.
• The confidence gate behaves as expected on clearly low-quality inputs, but threshold behavior is not yet calibrated for borderline cases.
• Retrieval is constrained to approved sources in tested cases, but no full negative test proves it cannot cite unsupported context under degraded conditions.
• Fallback behavior is not fully deterministic when the context tool returns empty results; one run produced a generic response instead of an explicit escalation.

Evidence quality

Assumptions

• The workflow is intended for internal operational use, not autonomous external decision-making.
• Human review remains the final approval point for ambiguous, high-impact, or policy-sensitive outputs.
• Approved source documents are available and indexed for retrieval.
• The workflow is expected to produce structured artifacts, not execute downstream actions.
• No regulated decision-making is in scope for this workflow.

Recommendations

Risks and Gaps

• Gap 1: No full proof of behavior when retrieval returns no usable sources.
• Gap 2: No multi-fault test combining timeout + malformed input + policy conflict.
• Gap 3: No operator-facing reason code standard for escalation categories.
• Risk: If the workflow drafts responses from partial context without explicit disclosure, reviewers may assume stronger evidence than exists.

Open Questions

1. What is the required fail-safe behavior when source retrieval returns zero approved documents?
2. Should borderline confidence cases default to human review or to a constrained draft?
3. What minimum reason codes are required for operator review to be actionable?
4. Are there any request types that must always bypass automated drafting?
5. Should timeout retries be capped at one attempt or more than one?

Action Plan

Next-step checklist

• Add explicit test cases for empty retrieval, timeout, and combined-failure scenarios.
• Define escalation reason codes for missing context, policy conflict, and tool failure.
• Set a deterministic default for borderline confidence routing.
• Re-run the matrix with at least 5 negative tests per critical branch.
• Confirm the final output schema includes separate sections for evidence, assumptions, recommendations, and open questions.
• Review any cases where the model produced a draft without sufficient source grounding.

Recommended acceptance criteria before launch

• Fallback branches explicitly escalate when critical context is missing.
• Confidence routing is consistent across repeated borderline inputs.
• Retrieval failures are surfaced in the output instead of being masked.
• All test scenarios produce review-ready artifacts with clear reasoning.

Decision Guidance

Recommended status: Conditional go
Condition: launch only after the fallback and conflicting-instruction branches are verified with additional negative tests.

Operator note: The current evidence supports a controlled pilot with human review, not autonomous release.

This sample illustrates a review-ready verification matrix for an internal agentic workflow, including evidence, assumptions, recommendations, gaps, and next-step actions without claiming unverified external actions or approvals.

This sample illustrates the skill's output format. Names, metrics, and operational details are illustrative unless the artifact explicitly analyzes public information.