DoD FM

Abnormal Balance Detection Continuous Control Monitoring

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

Description

Monitor key control points for abnormal balance detection; flag missing approvals, SoD conflicts, late postings, or incomplete evidence before month-end close. 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

process mining + rules + ML

Automation level / stage

continuous assurance

Expected benefit

More timely control issue detection, reduced repeat findings, stronger ongoing assurance.

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.

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

control exceptions detected before close; SoD conflicts remediated; repeat findings reduced

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