AML and client onboarding

Identity documents, Companies House data, risk questions. The workflow assembles the onboarding pack.

Describe the task

Give the workflow the new client's identity documents, the Companies House record, and your firm's risk questionnaire. Ask for a drafted onboarding pack: risk rating with rationale, flagged items for partner review, and a completed client due diligence file ready for sign-off.

An AI workflow's risk assessment and onboarding pack drawn from identity documents and Companies House data.

Give the workflow context

An AI workflow connected to the client's submitted documents, your firm's AML policy, your standard onboarding templates, and live Companies House data. It reads everything, cross-checks the claims against the public record, and surfaces the mismatches.

What the workflow creates

A structured onboarding pack: risk rating with the reasoning, identity check summary, beneficial ownership mapped from Companies House, a flagged-items list, and the client due diligence file drafted to your firm's template. The partner reviews the flags and signs the pack.

Follow-up prompts

  • Draft the client-facing welcome letter for this onboarding.
  • Run the same onboarding shape across the five new clients coming in this month.
  • Compare this new client's risk profile against the three similar clients we took on last year.

Tricks and tips

  • Keep a house library of what you treat as a red flag versus an amber. The workflow applies your rules, not a generic rule set.
  • Companies House data is the cheap cross-check. Teach the workflow to treat a mismatch there as an amber, not a green.
  • For clients with group structures, ask the workflow to map the ownership chain once. That chart becomes the reference for every future year's onboarding review.

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