DoD FM

Gl-To-Utb Reconciliation Policy-Aware Copilot

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

Description

Answer policy, FMR, FIAR, and local SOP questions for GL-to-UTB reconciliation using approved sources; provide citations and draft compliant next steps. The MVP would connect Advana UoT, feeder systems, disbursing systems, entitlement systems, GL systems and produce read-only recommendations for OUSD(C), DFAS, Reporting Entities.

AI / analytics pattern

LLM + retrieval-augmented generation

Automation level / stage

human-facing assistant

Expected benefit

Improved policy consistency, shorter research time, better training and compliance support.

Audit / financial statement impact

Completeness/existence of transactions supporting all financial statement lines

Controls / human review

Human review for unusual/high-dollar items; policy citations; audit logs; role-based access; periodic accuracy testing. RAG answers must cite approved sources; no free-form legal/financial determinations without policy owner review.

Data needed

Advana UoT, feeder systems, disbursing systems, entitlement systems, GL systems; master/reference data; audit logs; policy/control requirements; prior exceptions; relevant document evidence.

Possible metrics

citation accuracy; first-contact resolution; user satisfaction; policy answer QA pass rate

MVP scope

Start with one Component/reporting entity and one subprocess (GL-to-UTB reconciliation) for two close/audit cycles; read-only outputs first.

Related material weakness / control objective

Universe of Transactions completeness and reconciliation