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Invoice processing

Extract invoice fields, validate against known rules and route exceptions for review. Evidence: manual entry time, exception rate, processing delay. KPI: touch time, cycle time, error rate.

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Collections

Prioritise overdue accounts and draft context-aware follow-ups using invoice and customer history. Human oversight: material disputes, sensitive accounts and payment commitments.

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Reconciliation

Match transactions using deterministic rules first, then use AI or probabilistic matching for ambiguous descriptions where appropriate.

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Expense review

Flag missing evidence, policy exceptions and unusual patterns for human review rather than making unsupported accusations.

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Reporting commentary

Generate first-draft variance commentary from approved financial data, with finance ownership of interpretation and sign-off.

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Forecasting support

Use AI to explain drivers or structure assumptions, but preserve accountable financial forecasting and transparent model inputs.
Finance use cases can be control-sensitive. Prioritise auditability, permissions and clear exception handling over maximum autonomy.