Nfr Root Cause Classification Agentic Workflow Automation
Description
Coordinate multistep tasks for NFR root cause classification: gather data, build an evidence package, draft analysis, route for review, and record decisions with audit logs. The MVP would connect Advana, audit management tools, NFR repositories, CAP trackers, IPA requests, evidence stores and produce read-only recommendations for OUSD(C), DoD OIG, Service audit remediation offices, DFAS.
AI / analytics pattern
agentic AI + workflow orchestration
Automation level / stage
supervised workflow automation
Expected benefit
End-to-end productivity gain while preserving human signoff and auditability.
Audit / financial statement impact
Audit opinion; audit support; control testing; evidence sufficiency
Controls / human review
Human review for exceptions and recommendations; maintain evidence packages, lineage, source citations, model cards, data-quality checks, and periodic QA sampling. Agent must operate in read-only or draft mode during MVP; all postings/payments/responses require named human approval.
Data needed
Advana, audit management tools, NFR repositories, CAP trackers, IPA requests, evidence stores; master/reference data; audit logs; policy/control requirements; prior exceptions; relevant document evidence.
Possible metrics
cycle time reduction; workflow completion rate; human override rate; audit log completeness
MVP scope
Start with one Component/reporting entity and one subprocess (NFR root cause classification) for two close/audit cycles; read-only outputs first.
Related material weakness / control objective
NFR remediation and auditability