A bank facing a regulatory deadline needed to link collateral to loan documentation across a large portfolio. Ashurst describes building a generative AI system to extract and organise document information, then flag higher risk items for specialist review.
Automate the sorting, retain expert judgement
A bounded risk workflow
The case story says the system was built and deployed within a week, extracted information from thousands of documents and sent higher risk items to banking and regulatory specialists. Dashboards provided project transparency.
Ashurst reports reviews completed 58 percent faster, with average cycle times reduced from hours to minutes, while meeting the bank's regulatory standards. The result comes from a member story, not a publicly described independent audit.
Why the flag matters more than the score
A risk score can look authoritative while being hard to challenge. A useful system shows the source evidence, the rule or comparison that raised the flag, and what is still uncertain. Reviewers can then spend time on exceptions instead of reading every file in the same order.
The workflow also needs a clear way to record overrides and evidence corrections. Those corrections are valuable feedback for improving the process, not nuisances to hide.
A smaller version to test
Choose a document set with a clear matching task, such as linking supplier certificates to a register. Have an expert define the matching rules, run the system in parallel with the current review and sample both matches and misses before considering operational use.
- Set the specialist escalation threshold before the pilot.
- Retain source references and an audit trail.
- Compare false negatives as carefully as processing speed.
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