Technology & architecture
Practical AI, Governed Financial Decisions.
ReconAiLab combines structured data intake, configurable reconciliation logic and AI assistance. Human review and administrative approval remain part of the financial control process.
How data moves through ReconAiLab
Excel Files + API Data
Excel and API data are received through authorized channels and validated.
Mapping / Standardization
Fields are standardized and mapped into a reconciliation-ready format.
Reconciliation Engine + AI Assistance
Configured rules and AI-assisted suggestions help identify potential matches.
Matched / Exceptions
The reconciliation engine records matched, unmatched and exception outcomes.
Reports / Alerts
Company users monitor outcomes through dashboards, reporting and email notifications.
Governance principles
AI assists, people decide
AI suggestions support mapping and matching; authorized users review outcomes.
Approval before activation
Any AI-proposed rule requires Company Admin approval before it is used.
Authorized channels only
Data enters only through validated uploads and customer-authorized APIs.
Private implementation details
Model endpoints, integration secrets and database topology are kept private.
Platform foundation
The ReconAiLab application is built on Microsoft ASP.NET Core with a Microsoft SQL Server database and the AI services actually deployed in production. This informational website is independent and does not connect to the reconciliation database.
See ReconAiLab in Action
Book a personalized demo with our team to discuss your reconciliation workflows.