Abnormal Balance Detection Agentic Workflow Automation
Description
Coordinate multistep tasks for abnormal balance 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, DDRS, Advana, USSGL/SLOA/SFIS attributes and produce read-only recommendations for DFAS, OUSD(C) Financial Reporting, Service ERP owners.
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
All statements; GL-to-trial-balance accuracy
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
GFEBS, Navy ERP, DEAMS, DAI, DDRS, Advana, USSGL/SLOA/SFIS attributes; 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 (abnormal balance detection) for two close/audit cycles; read-only outputs first.
Related material weakness / control objective
Financial reporting internal controls; USSGL/SFIS compliance