Dormant Obligation Detection Agentic Workflow Automation
Description
Coordinate multistep tasks for dormant obligation detection: gather data, build an evidence package, draft analysis, route for review, and record decisions with audit logs. The MVP would connect GFEBS, Navy ERP, DEAMS, DAI, EFDSS, Advana, obligation/outlay history and produce read-only recommendations for OUSD(C), DFAS, Service Comptrollers.
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
Statement of Budgetary Resources; obligations incurred; unobligated balance
Controls / human review
Human approval required before posting, payment, denial, personnel action, or official audit response; model validation; drift monitoring; exception sampling; full prompt/data/output logging. Agent must operate in read-only or draft mode during MVP; all postings/payments/responses require named human approval.
Data needed
GFEBS, Navy ERP, DEAMS, DAI, EFDSS, Advana, obligation/outlay history; 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 (dormant obligation detection) for two close/audit cycles; read-only outputs first.
Related material weakness / control objective
High-integrity funds control environment, appropriation controls