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Practical AI · Practical guide

Let AI prepare the review. Keep the evidence in view.

A bounded approach to using an AI assistant in transaction review.

01

Give it a defined task

Specify the records, transaction type, checks, and expected output. A useful instruction asks the assistant to compare identified records, cite the sources, and list missing evidence. A broad request to find every error leaves the review difficult to reproduce.

02

Verify the inputs

Extraction can misread an amount, date, currency, or invoice identifier. Check critical fields against the source before relying on them. Use approved formulas for calculations and retain their inputs.

03

Keep uncertainty visible

Ask for missing, conflicting, or ambiguous evidence to be reported. A plausible explanation is not proof that a service occurred or a payment cleared. Treat findings as proposals for the designated reviewer.

04

Retain authority and history

Use an approved processing environment and only the data needed for the task. Instructions do not replace access controls. Keep the output used, evidence, reviewer decision, and follow-up with the transaction. Your authorized personnel decide on corrections and payment actions.

General operational guidance based on the Z-TIER approach. Apply the relevant agreements, approved procedures, and professional judgment to your own records.
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