DoD FM

Unit Cost Trend Detection Agentic Workflow Automation

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

Description

Coordinate multistep tasks for unit cost trend detection: gather data, build an evidence package, draft analysis, route for review, and record decisions with audit logs. The MVP would connect Advana, ERP cost objects, FYDP, contract cost reports, logistics/readiness data, EVMS and produce read-only recommendations for OUSD(C), CAPE, Service FM, Program offices.

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

Cost reporting, managerial cost accounting, budget justification support

Controls / human review

Human review for unusual/high-dollar items; policy citations; audit logs; role-based access; periodic accuracy testing. Agent must operate in read-only or draft mode during MVP; all postings/payments/responses require named human approval.

Data needed

Advana, ERP cost objects, FYDP, contract cost reports, logistics/readiness data, EVMS; 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 (unit cost trend detection) for two close/audit cycles; read-only outputs first.

Related material weakness / control objective

Optimize taxpayer dollars and support decision making