AI use-case intelligence library
One index across five source workbooks — the DoD FM AI Use Case Catalog v2.1, the Federal/Audit/Finance catalog, and both 2025 OMB government-wide AI inventories — plus strategy and adoption papers. Search by keyword, browse by catalog or mission area, or open a use case to see its full evidence trail.
Each catalog has its own evidence standard and reporting basis. Start from whichever matches the question you're asking.
Auto-selected top-priority, best-documented use case from each catalog, backfilled by priority score — a starting point, not an exhaustive list.
Use AI matching and explanation to support monthly reconciliation of disbursing, obligation, funding and entitlement systems to GL systems.
The AI is intended to solve the problem of users needing to sift through multiple documents to find help for specific ASSIST system functionalities. It aims to modernize applicati…
Business users now can quickly go through the details to make a informed decisions using AWS image recognition AI service
Committee for Purchase From People Who Are Blind or Significantly Disabled — not reported in use of this common government-wide AI pattern.
Analyze GL-to-UTB differences, assign likely root causes and draft reviewer-ready variance narratives.
Test whether adjustments from UTB to ATB have valid support and expected posting logic.
Prioritize unmatched FBWT differences, classify timing versus accounting causes, and suggest research steps.
Rank dormant obligations by liquidation likelihood, age, fiscal year, vendor/customer, and documentation risk.
Recommended strategy, adoption, and architecture guidance connecting selected use cases to audit-readiness outcomes.
Strategy paper that positions AI as an audit-readiness acceleration layer for DoD Financial Management, with priority use cases, governance, controls, implementation steps, expected outcomes, and a 2026-2028 roadmap.
A companion paper explaining why almost any business process, event, action, document, transaction, or decision can become an AI use-case candidate, and what must be true for AI adoption to produce sustainable value across data, resources, environment, process, governance, and human-in-the-loop controls.
Practical AI adoption guide explaining how to move from broad AI possibilities to funded, governed, measured, and scalable AI use cases, with guidance across data readiness, operating resources, technical environment, business-process redesign, human-in-the-loop controls, security, governance, and value realization.
Architecture paper positioning Advana-FM as the technical accelerator for DoD audit goals and AI as an embedded, governed capability layer that enhances reconciliation, evidence generation, anomaly detection, remediation tracking, process control, and audit-readiness execution.