Xceptor adds AI rule builder for reconciliation teams

Xceptor on June 10 launched AI Reconciliation Rule Builder and Live Tester in its Reconciliations SaaS product to help capital markets operations teams build and test reconciliation logic faster. The company says the tools can cut validation time by more than half and reduce manual effort as firms face growing data volumes and shorter settlement cycles.

Why it matters: - Capital markets firms are under pressure to reconcile more data with fewer manual steps as settlement cycles shorten. - Xceptor’s new tools are designed to reduce the time and effort required to configure controls, which can speed deployment and lower errors. - Faster rule creation can help operations teams scale reconciliations without adding headcount.

What happened: - Xceptor on June 10 announced AI Reconciliation Rule Builder and Live Tester. - The launch is initially available within Xceptor Reconciliations SaaS. - The tools use AI and Xceptor’s proprietary evaluation logic to generate rule suggestions for human review and testing before deployment.

The details: - AI Reconciliation Rule Builder automatically generates matching and comparison rules from sample data. - Live Tester lets users review, refine and test those rules against the same data in a controlled environment. - The workflow is designed to identify and correct issues before rules go live. - The system is intended to reduce the time from source file upload to a working rule configuration. - Internal tests showed the builder could cut rule validation time by more than half. - Internal tests also showed a significant reduction in manual effort across rule creation and testing. - Xceptor says keeping humans in control of review supports governance while allowing faster process optimization.

Between the lines: - The launch targets a bottleneck that sits between reconciliation demand and operational capacity, not just raw processing throughput. - The product position suggests Xceptor is pushing AI as an assistive layer, not a replacement for human oversight. - Independent industry researcher Vinod Jain said the tools address control gaps in data filtering, matching logic and incomplete testing. - Jain said the AI approach can generate the full range of test scenarios and eliminate manual code validation and test cycles.

What’s next: - Xceptor will expand adoption from the initial Reconciliations SaaS release as customers test the new workflow. - The company is positioning the tools for business users who need faster reconciliation setup with less technical input. - The likely next metric will be whether the claimed time savings hold up in live production environments.

The bottom line: - Xceptor is betting that AI can make reconciliation rules faster to build, easier to test and safer to deploy without removing human control.