Undistributed Collection Root-Cause Workbench
Description
Cluster aged collections by cause and route to Treasury, DFAS, disbursing, or component owner with draft research notes.
AI / analytics pattern
NLP clustering + workflow
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
Balance Sheet FBWT; SBR outlays; Statement of Changes in Net Position
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
Treasury data, CARS, DDS/ADS, disbursing records, Advana FBWT dashboards; 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
Fund Balance with Treasury material weakness