AI Reconciliation
Catch what humans miss. In real-time.
Sybil's agentic AI continuously cross-references authorizations, timesheets, and billing records to find discrepancies that manual reviews miss. From subtle unit mismatches to systemic billing patterns, AI reconciliation keeps your revenue integrity airtight.
What's Inside
Continuous Monitoring
AI agents run 24/7, scanning every new record against the full authorization and billing history for anomalies.
Pattern Detection
Machine learning identifies systemic issues — recurring over-billing patterns, authorization gaps, and utilization anomalies.
Prioritized Issue Queue
Discrepancies are ranked by financial impact and urgency, so your team addresses the highest-value issues first.
Three-Way Matching
Every record is validated across three data sources: authorization, timesheet, and billing — ensuring end-to-end accuracy.
Simple. Automated. Reliable.
Ingest Data Streams
Authorizations, timesheets, and billing records flow into the reconciliation engine from all connected sources.
AI Cross-Reference
Agentic AI performs three-way matching, flagging mismatches, over-utilization, and missing documentation.
Resolve & Learn
Issues are resolved by your team. The AI learns from each resolution to reduce false positives over time.
The Impact
Ready to see AI Reconciliation in action?
Schedule a personalized demo and discover how Sybil can transform your California respite care operation.