Dormant Obligation Deobligation Recommendation Engine
Description
Rank dormant obligations by recoverability and recommend deobligation candidates using age, vendor activity, delivery status, liquidation history, and mission-owner input.
AI / analytics pattern
ML scoring + rules
Automation level / stage
human-in-the-loop analytics
Expected benefit
High-value DoD FM productivity, auditability, data-quality and control improvement.
Audit / financial statement impact
Statement of Budgetary Resources; obligations incurred; unobligated balance
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
GFEBS, Navy ERP, DEAMS, DAI, EFDSS, Advana, obligation/outlay history; transaction history; audit evidence; reference data; control requirements.
Possible metrics
dollars impacted; exceptions resolved; aged balance reduction; cycle time; NFR closure; audit sample pass rate
MVP scope
Build as a controlled pilot using one Component/process, read-only dashboards, and documented human signoff.
Related material weakness / control objective
High-integrity funds control environment, appropriation controls