Gresham AI Tool Speeds Up Financial Reconciliation 20x
The new interface allows firms to configure complex reconciliation rules using natural language instead of manual coding.
Updated on Oct. 16, 2026 in Artificial Intelligence
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Gresham has launched Control Studio, a new generative AI-powered interface for its reconciliation software. The tool allows users to translate business requirements into technical configurations without manual coding.
Why it matters
Financial institutions often struggle with technical configuration delays, which hinder their ability to adapt reconciliation processes to changing regulatory and operational demands.
The platform claims a 20-fold increase in the speed of bringing reconciliations live compared to legacy approaches. This is achieved by using generative AI to map business logic directly to technical data sources, matching rules, and exception workflows.
The players
Gresham
A provider of financial software specializing in automated reconciliation, data integrity, and regulatory reporting solutions for global financial institutions.
The details
Control Studio functions as a self-service interface that removes the need for manual coding when defining complex data reconciliation logic. By using generative AI, the system interprets business requirements to automatically generate data source definitions, matching rules, and validation parameters. Users can also perform multi-way reconciliation and build enrichment rules using natural language inputs, while integrated testing tools allow for validation against sample data before the configuration is deployed.
Timeline
Gresham launched Control Studio on October 16, 2026.
The Tech Race
This release positions Gresham alongside ongoing industry efforts to automate manual data governance tasks in response to the European operational resilience regulation. It represents a shift from code-heavy configuration toward AI-assisted, low-code reconciliation environments.
Financial operations teams can begin using the interface to automate the setup of matching rules and exception workflows immediately. The transition requires migrating existing business requirements into the new AI-supported workflow to realize the touted speed improvements.
The takeaway
Gresham's new interface targets the common bottleneck of manual reconciliation coding in financial institutions. Market participants should monitor whether these 20x speed gains hold up when applied to highly complex, multi-way reconciliation environments across enterprise systems.
Further reading
Explore deeper developments in automated business logic within the Artificial Intelligence section.
Source note: This article includes information reported by IT Brief Australia.
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