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Knowledge base

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Automating finance, accounting and advisory workflows

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Automation in finance and advisory work should strengthen control, not remove it, by handling documents, approvals, deadlines and recurring client questions consistently.

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Where does manual work accumulate?

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Document classification, missing-information requests, client-file organisation, status reconciliation, recurring explanations and report preparation. Begin by measuring frequency, minutes per case and correction volume.

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What can AI support?

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AI can identify document types, extract fields, search approved knowledge and prepare a response or summary. It should not independently make accounting, legal or financial decisions; rules, value thresholds and uncertain cases need human review.

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How should sensitive data be protected?

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Use data minimisation, role-based access, logs, defined retention and an approved processing environment. Every source, processing step and transfer should remain attributable.

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How should a pilot begin?

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Choose one bounded document type or recurring client question, with a test set and explicit error thresholds. Explore finance, accounting and consulting, AI document processing and enterprise knowledge bases.

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Source and further data: https://www.nist.gov/itl/ai-risk-management-framework/ai-risk-management-framework-resources