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AI & integrations / Research & development

Billing reconciliation

Find the gap between delivery and billing.

DEVELOPMENT RECORDED

2026

Development recorded in the project repository. Earlier work may predate this history; this is not a confirmed launch date.
PROJECT TYPE

AI & integrations

BUILT WITH
PythonPostgreSQLAPIs

The problem

A healthcare organisation can deliver a service in one operational system and bill it in another, leaving no single place to confirm that every eligible service reached the financial workflow exactly once. That gap creates both missed revenue risk and time-consuming manual comparison.

The complete reconciliation has to connect people, dates, procedures and statuses, distinguish a true match from an unresolved mapping and give staff a defensible review path instead of treating every difference as missing billing.

The solution

The project develops an operational reconciliation platform that brings service and billing records into a shared comparison model, maintains the cross-system mappings and turns differences into organised work for finance or operations staff.

Normalisation and matching rules separate confident reconciliation from missing, ambiguous or incomplete records. Connector and workflow work remains in research and development; no recovered-revenue claim is made before the operational integration is complete.

The decisions behind it

Matching is a domain problem
A shared name or date alone does not identify the same service. The comparison needs explicit identifiers and service-level matching rules.
Uncertainty needs a review path
An unmatched record may mean missing billing, missing source data or an incomplete crosswalk. Those cases should not collapse into one confident answer.
WHAT IT BRINGS TOGETHER
  • Cross-system record mapping
  • Reconciliation workflow design
  • Exception review planning
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