In a recent policy statement, the Financial Conduct Authority highlighted new operational incident reporting expectations, putting further pressure on the compliance infrastructure of smaller firms[1]. When updating Anti-Money Laundering (AML) transaction monitoring to meet these regulatory expectations, small wealth managers typically face two bad options. They can either purchase an enterprise-grade software package that costs tens of thousands of pounds a year, or they can rely on manual spreadsheet checks that invite human error.

There is a third option. Most advice firms with under two hundred staff do not need a custom-built artificial intelligence platform. They need a quiet, integrated workflow that flags strange transactions for human review.

Why enterprise software is rarely the right fit

Many off-the-shelf AML platforms are designed for much larger institutions. They often carry significant licensing fees and include features a small advice firm may not need.

If your firm only processes a few hundred transactions a week, your primary risk is not volume. It is inconsistency. Manual checks slip when staff are busy or absent. An enterprise platform solves this by overwhelming you with a massive suite of tools, forcing you to change your entire operational process to fit the software.

You do not need to do this. You can achieve the consistency your compliance function requires by building automated monitoring directly into the software you already use.

Building a Level 2 monitoring system

You can automate your transaction monitoring by connecting the tools you already pay for. In my consulting work, I classify this as a Level 2 (integration) fix. It involves using integration platforms like n8n or Make to link your portfolio management system directly to your compliance logs and internal communication channels.

When a transaction occurs, the integration layer pulls the data and runs it against predefined deterministic rules. If a client suddenly moves a large sum from an unexpected jurisdiction, the system flags it. The automation does not decide if a transaction is fraudulent or suspicious on its own. It simply routes the anomaly to a human compliance officer, making sure that nothing falls through the cracks of a busy inbox. A human must always review the alert and apply regulated judgement before taking any action.

How to start automating your AML checks

If you want to move away from manual checking without buying a massive new platform, you need to structure your approach carefully.

  1. Map your exact data flow. You cannot automate a process if you do not know where the data lives. Identify exactly which system holds your transaction logs and which system holds your client risk profiles.
  2. Define deterministic rules before adding AI. Do not ask a large language model to guess if a transaction looks suspicious. Write hard, coded rules for amounts, frequencies, and geographical locations.
  3. Build the routing layer. Set up an integration that pushes alerts directly into a dedicated compliance channel in Teams or Slack. The alert must include a direct link to the transaction record so the reviewer can act immediately.

The cost of getting deployment wrong

The technology required to build these automated alerts is readily available, but implementation is often where projects stall. Recent industry data shows that 40% of complex automation and agentic AI projects are cancelled due to deployment challenges.

The primary hurdle for automation adoption in financial services is now deployment and integration, not a lack of available platforms.

Firms fail when they try to overcomplicate the build. They aim for Level 3 (custom build) engineering when a straightforward webhook integration between existing services would solve the problem in a fraction of the time. By building compliance directly into your API logic, you create a system that is easy to maintain and simple to audit.

Automating your AML monitoring is about creating consistency, not removing human oversight. A well-integrated system supports your compliance team by surfacing the right information at the right time, which can reduce the risk of manual error. If this is the situation your firm is in, and you are looking for an AI and automation deployer rather than a compliance consultancy, a discovery call with Cordrey Consulting is a good place to start.

This article is for informational purposes only and does not constitute regulated financial advice or a compliance opinion. Consult a qualified compliance professional for advice specific to your firm.

Sources

[1] FCA, ‘PS26-2: Operational incident and third-party reporting’, Financial Conduct Authority, 23 May 2026. Available at: https://www.fca.org.uk/publications/policy-statements/ps26-2-operational-incident-third-party-reporting