Client deliverable quality gate
Check the final deliverable against the brief, acceptance criteria, links, and brand rules.
What this workflow does
Check the final deliverable against the brief, acceptance criteria, links, and brand rules. It separates observed facts from inference, surfaces conflicting evidence, and delivers a review-ready finding set instead of an opaque answer.
What you gain
Fewer avoidable revisions and embarrassing handoff mistakes.
What the AI agent changes
How this worked before
Traditional automation could collect records, but a person still had to compare sources, resolve conflicts, and write the conclusion.
What the AI agent changes
The agent can plan a search, inspect multiple sources, distinguish facts from inference, and return a cited report.
Agent trigger
A deliverable enters final review before client handoff.
Inputs
- Process context: final files, approved brief, acceptance criteria, brand rules, and prior feedback
- Approved policies, ownership, and exception rules
Agent flow
- 1
Collect source material from the approved systems and record its timestamp.
- 2
Cross-check conflicting signals and separate facts from inference.
- 3
Prepare a pass, fix, or clarify list with exact evidence with citations, unknowns, and confidence.
- 4
Deliver the approved report and preserve its evidence set.
Human decisions
After step 3
The accountable process owner approves a pass, fix, or clarify list with exact evidence.
Outcome
- Approved client delivery package
- Evidence, exceptions, and audit trail
Guardrails
- Label inference separately from observed facts.
- Do not close the investigation while required sources are unavailable.
Risks and mitigations
Missing or stale evidence can produce a confident but incomplete finding.
Show source coverage, conflicts, timestamps, and unanswered questions.
Sources and evidence
Sources establish feasibility or impact. Not every metric comes from an identical implementation.
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