Case study

CIL: Compliance Intelligence

Consistent, signed off, inspection ready AML client intake for SRA regulated firms.

Next.jsSupabaseAI risk scoringImmutable audit log
CIL compliance dashboard: firm-wide risk assessment prompts, client intake, review queue and risk metrics.

The problem

Every new client must be risk assessed for money laundering before a matter opens. Manual intake is inconsistent and hard to evidence, and under MLR 2017 and ECCTA 2023 the COLP and MLRO carry any failure personally. When the SRA inspects, firms struggle to prove every client was assessed to the same standard and signed off by the right person.

What we built

A compliance platform that scores every client against MLR 2017, LSAG 2025 and POCA with AI, then holds a human accountable for the decision. A fee earner cannot approve a high risk client, the MLRO cannot be bypassed on a decline, enhanced due diligence and CDD sign off are hard gates, and every declined client forces a recorded SAR decision. Every submission, override and electronic signature is written to an immutable, UK hosted audit log.

The outcome

The firm applies one defensible standard to every client, and can hand an inspector a tamper evident record of any decision: who assessed it, who approved it, and exactly what they saw at the time.

Have a workflow that should be AI?

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