Context. An international fintech operator running multiple product lines, hitting onboarding bottlenecks as it expanded into new jurisdictions.

The problem. A hard-coded automation system was too rigid for edge cases. Roughly 10 percent of high-value applications got stuck in manual review, frustrating customers and delaying revenue. Adjusting risk parameters or swapping data providers needed engineering, an agility gap that blocked fast responses to regulatory change.

The solution.

An intelligent orchestration layer using multi-step reasoning, beyond simple pass or fail logic.

The AI Data Room to automate edge-case reviews, analysing documents such as passports and bank statements autonomously, with recommendations aligned to the company's risk appetite.

The impact.

70 percent reduction in manual case reviews.

Analyst teams refocused from data gathering to strategic risk assessment.

A shorter time-to-yes for high-value customers.

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