Stop writing rules, start describing risk

A transaction monitoring rule-builder that speaks your language

Compliance teams shouldn’t need to request tech support to detect new threats. Now they don’t. Simply describe a risk in plain English, and our AI rule builder translates that intent into a live detection rule in minutes, not weeks.

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The old way of fighting financial crime is broken

Compliance teams see new threats every day. But by the time your insight is translated into a detection rule and makes it through the IT backlog, the criminals have already moved on.

The core frictions compliance teams are tired of

1. Timeliness

New risk scenarios take weeks to deploy while criminals operate in hours.

2. Lost nuance

Compliance intent can be distorted when a non-expert codes it, leading to noise or missed threats.

3. No control

Teams feel disconnected from their own tools, unable to tune them without filing an IT ticket.

“We heard a common frustration from compliance officers using legacy tools. They’d say, ‘I know what I’m looking for, I just can’t make my system see it.’ That problem is exactly what we set out to solve.”

Carlos Corbacho
Senior Engineering Manager at ComplyAdvantage

This “translation tax” has cost the industry time, money, and missed threats for decades. Our AI rule-builder solves this problem.

How it works: From plain language to live detection

1. You describe the risk in plain language

For example, “Flag personal accounts where inbound credits from five or more distinct sending institutions exceed £15,000 in aggregate within 48 hours, and where 85% or more of that balance exits in a single outbound payment to a new payee within six hours.”

2. Our AI rule builder interprets, validates, and creates

A validation layer runs every generated rule against proven logic frameworks, eliminating the hallucination risk that makes other AI-generated code untrustworthy in regulated environments.

“We obsessed over making the output defensible, not just functional. When a regulator asks why a rule was written a certain way, our customers need a clear, human-readable answer – not ‘the AI decided.’”

Christina Flemming
Senior Product Director at ComplyAdvantage

Three things that set our AI rule-builder apart

1. A true thought-partner

No need to craft the perfect prompt. The AI rule-builder asks clarifying questions to help you refine your intent, building the rule you meant to create, not just the one you described.

2. Detection without blind spots

Tailor rules to your unique portfolio, working alongside our out-of-the-box advanced AI pattern detectors to cover risk holistically – the threats you've identified and the ones you haven't yet.

3. Regulator-ready

Every scenario ships with a human-readable rationale and full audit trail. Transparency isn’t an afterthought, it’s built in.

Ready to see it in action?

The AI rule builder doesn’t just speed things up. It shifts who holds the power. The person who understands the risk is now the person who defines the detection – without compromise, without a backlog, and without a black box.

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Transaction Monitoring AI rule builder FAQ

The AI rule-builder has access to all the data that you would need to build a rule. It can build most of the rules compliance teams might want to deploy – the quality depends on whether they have clarity about what they want and can explain it to the AI in a way it can understand. Our implementation team will always be available to answer questions and support you through the process for more complex rules.

The AI rule builder will assist with rule logic testing, so you can independently verify that alerts are generated as expected. Our implementation team is available to support.
You can also tune the AI-generated rule by testing it against large sets of data to set the parameters right so that they get the desired volume of alerts that strike the balance between risk appetite and the operating model of the compliance team.

Regardless of how the rule is created, they go through the same rigor. The AI rules have a transparent syntax, meaning you know exactly how a rule will work. Thus, once a rule is created, the same governance process that your risk team would use for a manually built rule kicks in before the rule goes live. This includes internal approvals from your risk team to assess coverage, testing to validate the output, and rule tuning. We also offer a premium service that includes our implementation team helping with benchmarking and testing, where needed.

No, a developer’s intervention will not be required. You can leverage the AI rule builder to edit existing rules directly using natural language.