DoD FM

Dormant Obligation Detection Forecasting & Early Warning

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

Description

Forecast risk, aging, workload, backlog or balance behavior for dormant obligation detection, then alert owners before audit or fiscal deadlines are missed. 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

time-series forecasting / classification

Automation level / stage

predictive analytics

Expected benefit

Earlier intervention before deadlines, lower aging/backlog, better resource allocation.

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

forecast error; prevented deadline misses; backlog reduction; aging reduction

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