DoD FM

Obligation Burn-Rate Forecasting Continuous Control Monitoring

High priorityHigh 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 obligation burn-rate forecasting; flag missing approvals, SoD conflicts, late postings, or incomplete evidence before month-end close. 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

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

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.

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

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

MVP scope

Start with one Component/reporting entity and one subprocess (obligation burn-rate forecasting) for two close/audit cycles; read-only outputs first.

Related material weakness / control objective

High-integrity funds control environment, appropriation controls