DoD FM

Remediation Cost-Benefit Analysis Agentic Workflow Automation

Medium priorityMedium-High riskDerived/normalized from public DoD FM source and established financial-sector AI patternTier 0 — Audit data foundationHigh complexity

Description

Coordinate multistep tasks for remediation cost-benefit analysis: 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 (remediation cost-benefit analysis) for two close/audit cycles; read-only outputs first.

Related material weakness / control objective

NFR remediation and auditability