Compliance Monitoring

Automate compliance monitoring without the false positives.

We build custom AI systems that understand your actual workflows, not generic rule-based alerts.

Industry Context

Financial services face intensifying regulatory scrutiny—MiFID II, AML directives, real-time reporting requirements—while manual monitoring can't scale. Teams are buried in false alerts, and examiners expect documented audit trails. Hiring more analysts isn't sustainable. Off-the-shelf tools often miss context or generate noise. Custom systems that adapt to your data, rules, and exceptions are the practical path forward.

By the Numbers

$5.1B

in global financial compliance fines in 2024

Fenergo Global Fines Report, 2024

60%

of AML/KYC checks still manual

PwC Banking Compliance, 2024

75%

reduction in false positives with AI monitoring

Deloitte RegTech, 2025

The Problem

What you're dealing with

Reviewing 500+ daily transaction alerts by hand, most of which are false positives, wasting analyst hours.

SAR filings can't be easily correlated with internal watchlist updates because the systems are siloed.

Failing exams because audit trails are incomplete or inconsistently documented.

Missing subtle patterns—like layering or structuring—that slip past rule-based systems.

Spending weeks tuning generic tools to fit your specific product types or jurisdictions.

The Solution

How it works

We start by mapping your actual compliance processes—not the handbook version. Our AI interviews your team to capture how decisions really get made, where exceptions happen, and which data sources matter. Then we build a system tailored to your workflows, connected to your core systems (transaction databases, CRM, case management tools). Using our internal tooling, we build and deploy a custom model that reduces false positives by learning from your historical alerts and examiner feedback. You get a working system in weeks, not a subscription to someone else's software.

Atlas

Maps your actual compliance workflows through AI-driven interviews with your team

Arc

Builds and deploys custom AI models that connect to your existing systems

In Practice

Before and after

Before

An analyst spends 4 hours daily reviewing transaction alerts. 90% are false positives—common names triggering watchlist matches. Real risks slip through when volume spikes.

After

We built a custom model that cross-references transaction context, customer history, and geographic risk scores. It filters out noise and surfaces real risks with clear reasoning the analyst can review.

1 AI interviews analysts to learn how they distinguish false positives
2 Model trained on 12 months of historical alerts and outcomes
3 Integrated with core banking system and case management tool
4 Deployed with real-time monitoring and audit trail generation
5 Reduced false positives by 80% in first month

75%

reduction in manual review time

A regional bank cut manual review time by 75% after deploying custom AI compliance monitoring we built.

FAQ

Common questions

How do you handle our sensitive data?

We never store your data. Everything runs in your cloud or on-premises environment. All models are trained and deployed within your infrastructure.

What if our compliance rules change?

The system is built to adapt. Your team can update thresholds, rules, or risk models without re-engineering. Retraining is part of the package.

How long until we see results?

Most clients go live in 4-6 weeks. The system starts reducing false positives right away and improves with feedback.

Do we need to replace our existing systems?

No. We plug into what you have—transaction monitors, case management, CRM. The custom AI sits on top.

What happens after deployment?

We provide documentation, training, and support. You own the system. We're available for updates or expansions.