AI Analyst

Model-comparison analyst workbench for budget, audit, and financial operations.

Run task-profiled analysis against local source evidence, choose the model path, and compare two model outputs side by side.

48.5K
Grounding records

The model receives budget lines, award summaries, audit themes, and live source provenance.

6
Task profiles

Budget, audit, anomaly, document, data-quality, and executive briefing modes.

Side by side
Model comparison

Gemini, Claude, Groq, auto fallback, and deterministic local analyst paths.

AI Analyst Research Layer

Federal finance AI assistant design: evidence grounding, model comparison, controls, and human review.

The AI Analyst page should behave like a governed analytic workbench: models compare outputs, cite source context, expose assumptions, and produce analyst-ready decision support.

Research-backed

AI use cases by page

Each AI mode should have a bounded task, source bundle, output schema, and review workflow.

  • Budget analyst: explain FY deltas, appropriation movement, exhibit-level evidence, and reprogramming/execution risks.
  • Audit readiness: map findings to Green Book principles, A-123 requirements, evidence artifacts, and corrective action plans.
  • Anomaly triage: summarize negative actions, recipient concentration, missing metadata, and source-quality issues.
  • Document intelligence: summarize budget books, extract tables, create page-linked snippets, and identify policy citations.
  • Data quality: assess source coverage, schema drift, parser status, missing fields, and cloud-ingestion readiness.
  • Executive briefer: produce decision memo, risk heatmap, open questions, and next-action sequence.

Model governance requirements

Treat model outputs as decision support, not authoritative accounting records.

  • Store prompt, profile, model, provider, source snapshot signature, generated time, user-selected filters, and output.
  • Separate local deterministic analysis from external LLM responses when API keys are configured.
  • Require citations to source paths or official policy references for every material claim.
  • Use side-by-side comparison to identify disagreement, missing evidence, hallucination risk, and confidence gaps.
  • Route production recommendations through human review, audit trail, and approval workflow before changing financial records.
OMB Circular A-123Enterprise risk management and internal control.GAO Green BookStandards for internal control in the federal government.Treasury Data TransparencyGovernmentwide spending data model, Data Broker, and USAspending publication path.DoD FMR 7000.14-RDoD financial management regulation by volume and chapter.