From First Alert to Filed SAR

AI agents that run financial crime operations and prove every decision.

Unit21's agents run the full financial crime lifecycle end-to-end, producing regulator-grade outputs your team can review, approve, and defend.

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Watch how it works

1.5M+

alert reviews run by
AI Agents to date

10M+

analyst hours
saved
Up to

80%

faster investigation
handle times
Up to

93%

fewer false
positives


Trusted by teams like yours

Real results from teams running AI Agents in production.

Read the Stories
Zaheer Jassat

"Unit21's agent doesn't just triage alerts - it does deep analysis. It reviews RFI responses and helps resolve our most complex many-to-one alerts with a real grasp of our AML processes."

Zaheer Jassat
VP Product
Kevin Newman

"We're using Unit21's AI Agent for L1 alert triage. It's not about cutting jobs; it's about scaling responsibly so analysts spend time on true risk."

Kevin Newman
Vice President, BSA/AML Operations
Robert Walker

"AI agents aren't a nice-to-have—they're how we get from 60-day resolution down to 30 days. Low-risk alerts will get handled autonomously so we can focus on what needs human judgment."

Robert Walker
Manager of Monitoring Services, Sunrise Bank
Frank Walton

"Unit21's AI Agent cut our review time nearly in half and freed analysts to focus on real investigations."

Frank Walton
Global Head of Compliance, Uphold
Bozhidar Dobrev

"Our compliance operations have transformed from manual to intelligent, as AI handles more than half of initial alert reviews."

Bozhidar Dobrev
Financial Crime Compliance Manager, Nexo
What Makes up our AI

Operational AI,
not experimental AI

Why it's unique, what it produces, and how you run it — the three things to understand before anything else.

Why It’s Unique
What It Produces
How You Run It
Executes the work.

Pulls transaction histories, checks watchlists, runs open-source research, and assembles evidence — then recommends the disposition. The analyst reviews completed work instead of building it from scratch. This is the line Chartis draws between real agentic AI and a copilot: does the system perform the work, or just talk about it.

Shows the work.

Agents generate SQL/Python to query data deterministically instead of letting the model read raw data — the model reasons, the code executes. Every step is logged: data accessed, checks performed, sources cited, assumptions made. That reasoning chain is what regulators actually ask for in an exam, not just the decision.

Improves from outcomes.

Analyst feedback and dispositions become recommended rule changes — and it runs in both directions. AI also audits human analyst decisions for consistency and SOP adherence, the inverse of the usual QA model. No model retrains on your data; feedback sharpens decision criteria, not the underlying model.

Action

Recommends a close, escalation, or takes the workflow action directly — never a black box. Rationale is always tied to evidence and your policy logic, and autonomy is configurable independently per queue, risk tier, and jurisdiction, not switched on or off platform-wide.

Regulator-ready narrative

Drafted in your format, ready for QA and approval — not a generic template. Narrative structure, escalation criteria, and review controls are configured to your SOPs, so the output reads like your team wrote it.

Transparent work log

A full trace of every step: data accessed, checks performed, assumptions made, sources cited, confidence noted. This is the artifact that turns an AI decision into a defensible one — the same standard Chartis uses to separate production systems from demos.

API

Clean, API-first integration for data ingestion. Your engineers connect the data; your fraud and compliance team configures the logic — no professional services dependency for ongoing changes, and no waiting on a vendor to update a rule.

Bolt-on

Run Unit21 AI Agents alongside your existing case management or detection stack. Start with one workflow — L1 triage and narrative drafting is the common starting point — validate in parallel with your current process, then expand coverage once it earns trust.

Embedded

Agents run natively inside detection and case management, where the data and workflow already live. This is the default path for full-platform customers, and it’s what lets investigation outcomes feed straight back into detection tuning without a separate integration.

One System, One Orchestration Layer

The full financial crime lifecycle

Detection agents tune what your rules catch. Investigation agents work what those rules surface.

AI for
Detection
Rule Writer
Agent
Rule
Recommendation
Agent
AI for
Investigation
Alert
Agent
Case
Agent
SAR
Agent
Control + Oversight

Autonomy is a ladder, not a light switch

Mature platforms configure autonomy — not a binary on/off. Unit21's agents move up a four-level ladder, configurable independently per queue, use case, and risk tier. Read more.

Level 1

On-demand
only

Agent surfaces findings; a human decides every case, every time. No autonomous action.

Level 2

Auto-review,
human decides*

Agent completes the investigation; a human reviews and makes the final call on every case.

Level 3

Auto-review,
AI recommends

Agent completes the investigation and recommends a disposition; a human approves, sampling rather than reviewing every case.

Level 4

Auto-close within guardrails

Clear, low-risk dispositions close automatically within your configured guardrails; humans handle exceptions and QA sampling.

*When an agent hits ambiguity or low confidence, it escalates — it doesn't guess. Unit21 customers typically start at level 2, validate accuracy in parallel with human review, then move to level 3–4 as confidence builds. 1.5M+ alert reviews and hundreds of regulatory exams passed running Unit21 to date.

A Brief Take on FinCrime AI

The AI
Risk Brief

What's holding fincrime practionarors from investing in AI?

What not just use Claude for fincrime ops?

Chartis + Unit21

What to know when evaluating AI across risk & compliance

A tactical framework for evaluating what agentic AI actually means for AML, fraud, sanctions, and more, plus a practical guide for buyers navigating a market full of vendor claims.

We’ve Got You

Frequently Asked Questions

Does AI replace our fraud and compliance analysts?
Is this a chatbot?
Does the agent file SARs and CTRs for us?
Can we control what the agent can/can't do?
How do you handle model risk and regulator scrutiny?
Do you train on our customer data?
What does implementation look like?
What can Unit21's AI Agents actually do?
How is this different from an AI copilot or "AI-assisted" tool?
What happens when an analyst disagrees with the AI?
How accurate is Unit21's AI, and how do you measure it?
Will AI agents slow down real-time fraud decisions?
How does the Consortium make the AI smarter without exposing our data?
See Us In Action

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