DoD FM

Forced-Balance Adjustment Prevention Document Intelligence

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

Description

Extract data from documents, forms, contracts, invoices, vouchers, screenshots, and audit evidence related to forced-balance adjustment prevention; compare extracted values to system records. The MVP would connect DDRS-B, DDRS-AFS, UTB/ATB, GTAS, financial statement compilation packages and produce read-only recommendations for DFAS, OUSD(C), Service reporting offices.

AI / analytics pattern

OCR / IDP + NLP

Automation level / stage

evidence extraction

Expected benefit

Faster evidence extraction, fewer manual keying errors, improved consistency of support packages.

Audit / financial statement impact

All principal statements and notes

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

DDRS-B, DDRS-AFS, UTB/ATB, GTAS, financial statement compilation packages; master/reference data; audit logs; policy/control requirements; prior exceptions; relevant document evidence.

Possible metrics

extraction accuracy; evidence package cycle time; manual rework rate; missing support rate

MVP scope

Start with one Component/reporting entity and one subprocess (forced-balance adjustment prevention) for two close/audit cycles; read-only outputs first.

Related material weakness / control objective

Financial reporting internal controls; reduction of unsupported adjustments