The generative A.I. “self-service application” works with the Control reconciliation offering.
Gresham, a provider of enterprise data automation, reports that it has launched a generative A.I.-based, “self-service application,” dubbed Control Studio, for its Control reconciliation offering.
“Control Studio lets business users build complex reconciliation controls, including multi-way recs, without relying on technical specialists,” officials say. “Control Studio is designed to increase the proportion of business users able to build controls themselves, with recs live 20 times faster and without operational bottlenecks.”
By using generative A.I., end-users of Control Studio can “translate their knowledge of trading, settlement, and clearing into the configuration required by Gresham’s deterministic rules engines, which are built to handle the speed and complexity of near-real-time banking systems and multi-way real-time reconciliation,” officials say.
Control Studio “puts the people who understand the data in control of the process, using generative AI to turn business requirements into the rules and configuration needed by Control,” officials say. “That means firms can respond faster as products, processes and regulatory requirements change, while keeping the governance, auditability and complexity they need in production.”
The A.I.-enabled Control Studio interface helps end-users configure data sources, matching rules, validations and exception workflows. Control Studio also “enables users to build controls directly against sample data, allowing them to see the impact of changes before they go live. The solution can identify correlations between datasets and suggest potential matching keys and validation checks, while natural-language AI assistants support the creation of search expressions and enrichment rules,” officials add.
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