Should-Cost Benchmarking Document Intelligence
Description
Extract data from documents, forms, contracts, invoices, vouchers, screenshots, and audit evidence related to should-cost benchmarking; compare extracted values to system records. The MVP would connect Advana, ERP cost objects, FYDP, contract cost reports, logistics/readiness data, EVMS and produce read-only recommendations for OUSD(C), CAPE, Service FM, Program 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
Cost reporting, managerial cost accounting, budget justification support
Controls / human review
Human review for unusual/high-dollar items; policy citations; audit logs; role-based access; periodic accuracy testing.
Data needed
Advana, ERP cost objects, FYDP, contract cost reports, logistics/readiness data, EVMS; 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 (should-cost benchmarking) for two close/audit cycles; read-only outputs first.
Related material weakness / control objective
Optimize taxpayer dollars and support decision making