Manual Adjustment Reason Classification Document Intelligence
Description
Extract data from documents, forms, contracts, invoices, vouchers, screenshots, and audit evidence related to manual adjustment reason classification; compare extracted values to system records. 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
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 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
extraction accuracy; evidence package cycle time; manual rework rate; missing support rate
MVP scope
Start with one Component/reporting entity and one subprocess (manual adjustment reason classification) for two close/audit cycles; read-only outputs first.
Related material weakness / control objective
Financial reporting internal controls; USSGL/SFIS compliance