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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.
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.


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

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

Each agent run produces artifacts your team can review, approve, and defend.
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.
Drafted in your format, ready for QA and approval.
A trace of every step taken: data accessed, checks performed, and assumptions made.

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.
Unit21’s AI risk infrastructure is designed for highly regulated environments: transparent by design, governed by evaluation, tracing, and human oversight.
AI does the work. Humans make the call
Hundreds of regulatory exams passed, running Unit21
Your data is never used to train our agents. Ever.
The who, what, and why for every recommendation


No. It’s workflow-executing software that performs investigation steps and produces auditable outputs.
Yes, agents are configured to your SOPs, thresholds, and approval gates.
Explicit workflows, evaluation before deployment, tracing after deployment, and full audit logs.
No. Unit21 does not train models on customer data. Each decision produces an auditable record without turning your casework into someone else’s training set.
Start with one workflow (e.g., L1 triage + narrative drafting), validate in parallel, then expand coverage.
