Gresham Launches AI Tool for Reconciliation Software

The new Control Studio interface uses generative AI to help financial institutions build reconciliation rules faster.

Updated on Oct. 16, 2026 in Artificial Intelligence

Bold flat-color editorial illustration in navy, cream, and deep red, featuring an arrangement of abstract geometric prisms representing financial data reconciliation.
Gresham has introduced Control Studio, an AI-powered interface intended to streamline the creation of complex reconciliation rules for financial institutions. AI Illustration. Upload story photo >

Live Poll

Do you trust artificial intelligence to handle critical financial and banking data reconciliations?

Gresham has introduced Control Studio, an interface for its reconciliation software designed to translate business requirements into technical configurations. The tool allows users to build controls without writing manual code.

Why it matters

Financial institutions face mounting operational pressure and regulatory demands for governance, which are often hindered by slow technical configuration cycles. This tool aims to address those delays by simplifying the update process for reconciliation workflows.

Control Studio utilizes generative AI to process data sources, matching rules, validations, and exception workflows. The software achieves a 20 times faster speed in taking reconciliations live compared to legacy approaches.

The players

Gresham

Gresham is a provider of financial data integrity and reconciliation software solutions for global institutions.

The details

Users interact with a self-service interface that supports multi-way reconciliation and allows for testing controls against sample data before implementation. The platform also enables the creation of search expressions and enrichment rules through AI assistance.

Timeline

  1. October 16, 2026: Gresham officially launched the Control Studio interface.

The Tech Race

This development marks a shift toward low-code, AI-driven automation in financial back-office operations to meet the European operational resilience regulation frameworks. It reflects a broader industry trend of replacing manual, slow-to-configure legacy coding with self-service interfaces.

For financial professionals, this tool reduces the need to write manual code when updating complex data matching rules. Users can now test controls against sample data, which minimizes the likelihood of errors before a workflow goes live.

The takeaway

Automating technical configuration can significantly reduce the time required to maintain complex financial data systems. Firms that adopt generative AI interfaces may see improved compliance agility compared to those relying on traditional, manual coding processes.

Further reading

Learn more about the latest innovations in the field of Artificial Intelligence.

Source note: This article includes information reported by IT Brief Australia.

Live Poll

Do you trust artificial intelligence to handle critical financial and banking data reconciliations?