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. This isn’t AI that summarizes. It’s AI risk infrastructure that performs the workflow, configured to your SOPs, thresholds, and risk appetite, so your team focuses on judgment, not data gathering.

What Makes Unit21 AI Unique

Operational AI, not experimental AI.

Many tools generate results without owning the work. Unit21’s AI risk infrastructure is embedded inside the system where detection and investigations actually live, so outcomes are repeatable, measurable, and defensible.

  • Executes the work: Investigates step-by-step, recommends actions tied to evidence.
  • Shows the work: Transparent log of steps, sources, and assumptions; built for audits.
  • Learns from outcomes: Dispositions and feedback improve future detection and decisioning over time.
Impact of Our Agents

Faster investigations. Fewer false positives. Better decisions.

When agents execute evidence gathering and narrative drafting, teams move from backlog management to prevention, without scaling headcount at the same rate as volume.

$10,482,341

analyst
hours saved
Up to
80%
faster investigation handle times
Up to
93%
fewer false positives
Where and How Agents Operate

Agents operate wherever risk exists.

Agents aren’t limited to a single review screen; they can work across detection and investigations, producing consistent outputs and auditability across the lifecycle.

Alert triage + evidence gathering
Case investigation + entity/network expansion
Narrative drafting + filing preparation
QA support: consistency checks against SOP steps
Detection improvement: recommend rule changes based on outcomes with validation
What the Agents Produce

Three outputs, every time.

Each agent run produces artifacts your team can review, approve, and defend.

Action

Recommends a close, escalation, or takes the workflow action directly, based on your configured guardrails. Rationale is always tied to evidence and your policy logic.

Regulator-ready narrative

Drafted in your format, ready for QA and approval.

Transparent work log

A trace of every step taken: data accessed, checks performed, and assumptions made.

Your SOPS, Your Risk Appetite

Configure agents for your program, without rewriting your program.

Agents are tuned to your thresholds, narrative format, escalation rules, and review controls. You don’t ask analysts to “prompt better.” You configure the job once, then the agent runs it consistently.

Narrative templates aligned to your internal QA + regulator expectations
Escalation decision points aligned to your risk appetite
Clear guardrails for when humans must review or approve
Repeatable outputs across teams and geographies
Defensibility and Governance

If it’s not defensible to a regulator, we don’t ship it.

Unit21’s AI risk infrastructure is designed for highly regulated environments: transparent by design, governed by evaluation, tracing, and human oversight.

Human-in-the-loop by default

AI does the work. Humans make the call

Proven in the field

Hundreds of regulatory exams passed, running Unit21

Built on enterprise infrastructure

Your data is never used to train our agents. Ever.

Full audit trail

The who, what, and why for every recommendation

We’ve Got You

Frequently Asked Questions

Is this a chatbot?
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?
See Us In Action

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