AI-Driven GTAS Reconciliation
FedReconcile’s GTAS Module automates federal financial reconciliation, validates Treasury edits, and produces Oracle-ready corrections—ensuring a clean close every time.
Explore Workflow
🔁 Phase 1: File Upload & Initial Reconciliation
User uploads:
✅ Trial Balance CSV (ERP source)
✅ GTAS ATB CSV (Treasury source)
System performs ERP-to-GTAS Reconciliation:
Matches TAS, USSGL, and amounts
Detects discrepancies (e.g., TAS mismatch, field-level errors)
Stores both files in Supabase
Session metadata saved to DB
Output:
JSON with matched & mismatched records
Populates Reconciliation Dashboard
🧠 Phase 2: AI Correction & User Approval
AI Suggests Corrections:
Field-level fixes
Journal voucher recommendations
Slack/missing segment warnings
User reviews the mismatch dashboard:
Accepts or rejects corrections line-by-line
Accepted corrections queue Journal FBDI rows
System generates:
✅ Updated FBDI file for Oracle Journal Import
🔄 Phase 3: Re-run & Ensure Clean Reconciliation
User uploads corrected Trial Balance
System re-runs reconciliation against GTAS ATB
Goal: Trial Balance cleanly matches GTAS ATB
🔍 Phase 4: GTAS Validation & Edits Checks
GTAS ATB file runs through:
✅ GTAS Edit Checks (JSON)
✅ GTAS Validations (JSON + AI explanations via RAG)
System identifies:
Treasury-critical fails (e.g., improper USSGL pairings)
AI-generated rationale + fix logic
Final Output:
Clean GTAS ATB file
Readiness for Treasury submission
Ready to Clean Your Books with Confidence?
Pilot the GTAS Module and reduce time-to-certification by automating validation, correction, and audit support.
Request a Demo
© 2025 Sinergy Solutions LLC • “AI Powered Innovation for Federal”
Contact • Privacy • Terms