Confluence Technologies has launched Confluence POINT, an artificial intelligence-enabled layer designed to automate work surrounding its regulatory reporting, analytics and investor communications products.
The first capabilities address two distinct parts of the investment-management workflow. POINT Validation reviews financial and regulatory reporting documents, while a conversational interface allows users of Confluence Revolution to query data and initiate processes using plain English.
POINT Validation can process structured and unstructured documents across multiple formats. It applies an automated checklist, records an audit trail for each finding and flags errors for follow-up. Confluence said the process can be completed within minutes, reducing the manual checks that often follow automated report production.
The capability extends automation beyond generating a report. Validation remains a separate control, but POINT is intended to perform the initial review and direct users towards exceptions requiring attention. The audit trail should also give firms a record of what the system checked and which issues it identified.
Within Revolution, Confluence’s multi-asset performance, attribution and risk platform, users can ask questions or start processes through a conversational interface. The interface is also available through Microsoft Excel, allowing users to work with Revolution data and functionality without exporting information or moving between systems.
Confluence plans to add further POINT capabilities across its product suite. Mark Evans, founder and chief executive officer, said: “This is a long-term commitment, and you will see our AI capability continue to grow across our entire product suite in the months ahead.”
The initial release therefore applies embedded AI to two different operational problems: document validation and access to analytics. Its practical value will depend on the quality of the automated checks, the usefulness of the audit records and the controls governing actions initiated through natural-language instructions.
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