DoD FM

Pbc Request Routing Document Intelligence

High priorityMedium-High 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 PBC request routing; compare extracted values to system records. The MVP would connect Advana, audit management tools, NFR repositories, CAP trackers, IPA requests, evidence stores and produce read-only recommendations for OUSD(C), DoD OIG, Service audit remediation offices, DFAS.

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

Audit opinion; audit support; control testing; evidence sufficiency

Controls / human review

Human review for exceptions and recommendations; maintain evidence packages, lineage, source citations, model cards, data-quality checks, and periodic QA sampling.

Data needed

Advana, audit management tools, NFR repositories, CAP trackers, IPA requests, evidence stores; 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 (PBC request routing) for two close/audit cycles; read-only outputs first.

Related material weakness / control objective

NFR remediation and auditability