Making AI-generated financial numbers traceable

AI Engineer20m 58s
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    Vinoo Ganesh describes why financial figures need their source, units, scale and reporting period preservedData provenance records where information came from, how it changed, and which people, systems, or processes handled it.. He argues that attaching a source after generation can still leave a plausible but incorrect number.

    Vinoo Ganesh describes a pipeline in which a language model plans retrievalRetrieval is the process of selecting relevant stored information and returning it to an AI system for the current task. while separate software handles calculations and registers citations. He discusses search ranking, document permissionsAn agent permission boundary defines and enforces which resources and actions an automated agent is allowed to use. and a filter that removes figures the system cannot trace.

    Vinoo Ganesh presents evaluation findingsEvaluation is the systematic assessment of a system's behaviour or results against explicit criteria. and acknowledges that the approach has boundaries. The presentation describes the architecture and claims of his company, not an independent guarantee that every output is accurate.

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    Vinoo Ganesh beside the words traceable AI numbers. With WWW.ARTIFICIAL-INTELLIGENCE.VIDEO, 25 October 2026 and duration 20m 58s.

    Vinoo Ganesh explains an approach to financial AI that retrieves source facts, calculates with deterministic code and checks citations.