Should-Cost Benchmarking Agentic Workflow Automation
Description
Coordinate multistep tasks for should-cost benchmarking: 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 (should-cost benchmarking) for two close/audit cycles; read-only outputs first.
Related material weakness / control objective
Optimize taxpayer dollars and support decision making