Infinite vs Unit21 for AML case management

Key takeaways

1. Unit21 sells the case system and the agents inside it: alert-to-case-to-SAR workflows, detection and investigation agents, and filings, run by your analysts.
2. Unit21 states that final decisions always remain with the customer's compliance team; on Infinite the same is true, and the gate cannot be configured away.
3. A platform in your stack makes each alert faster to work; it does not stop the same counterparty being re-reviewed at every institution it touches.
4. Infinite runs its own compliance program on the network, fused to the accounts and rails, so verification travels with the counterparty.
5. First-time reviews that take around 30 days under one-off manual review close in 1–2 days on Infinite.

What Unit21 sells

As of September 14, 2026, unit21.ai leads with "The AI company that fights financial crime for you" and describes an "agentic fraud and AML platform". In 2026 the company relaunched its positioning around the term AI Risk Infrastructure. The AML side lists transaction monitoring, case management, payment and sanctions screening, customer risk rating, and regulatory filings; the fraud side lists real-time monitoring, device intelligence, and a fraud consortium. Two agents sit across it: an AI Agent for Detection and an AI Agent for Investigation, plus an Agentic Task Builder, announced in July 2026, for writing investigation logic in plain English.

Its case management page is the relevant one here. The promise is to "work hundreds of alerts at once, not one at a time": agents "triage alerts, gather evidence, and prepare investigation summaries so investigators can focus on decisions instead of manual research", inside an alert-to-case-to-SAR workflow. On the human role it is unambiguous: "Final decisions always remain with your compliance team. AI provides the intelligence. Humans provide the judgment." On deployment, the platform states it can "integrate with anything and sit on any database". It is a mature platform, and for an institution that runs and staffs its own program across many products, breadth of that kind matters.

A platform in your stack, or a program on a network

The structural difference is who runs the program. On Unit21, the institution does: it supplies the data, writes the rules, staffs the queue, procures the identity and screening providers the platform integrates with, and answers the examiner. Unit21 is the system of record and the agent layer inside that program.

On Infinite, the program is Infinite's own. Compliance AI runs KYC, KYB, KYT, and AML work for every business on the network: agents operate the real tools (screening, document verification, device intelligence, ledger history, the case file), draw on the context of the account graph, and route every decision to a named analyst. A business on the network gets the whole program as one thing, onboarding through case management, with nothing to procure and no queue to staff. Institutions that run their own program can instead point Compliance AI at their existing case system, screening, and core; the system operates them as tools rather than replacing them.

The same alert, twice

Screening matches wide on purpose, so most alerts are false positives, and an analyst has to open every one. A platform makes each of those alerts faster to work. What a platform inside one institution's stack does not do is stop the same coincidental name match from being adjudicated again at the next institution the counterparty touches, because each institution's queue is its own. Unit21's site describes its consortium as sharing fraud signals between institutions; it does not describe carrying a completed review of a cleared counterparty from one to the next.

On Infinite the resolution travels with the counterparty. An alert adjudicated once carries its outcome to every participant on the network; screening still runs on every instruction, but the redundant re-review disappears. That is the difference between a faster queue and a smaller one.

An operating system for the queue makes every alert faster. A network makes the redundant ones somebody else's finished work.

Where the human sits

Both keep the decision with a person, and both log the trail. On Infinite the gate is structural rather than a setting: there is no configuration in which the AI approves, rejects, or closes a case, and four written boundaries hold (no decisions, no filings, no hidden actions, no policy changes). The guarantee is a property of the system, not of any model version, so it does not move when models do.

Fused to the money

Unit21 monitors the transactions its customers feed it, from whatever systems they run. On Infinite, the account, the rails, and the compliance program are one system. Every counterparty is screened before funds move, on every rail, and a review is an explicit state on the account or the payment that you can query and subscribe to, with information requests reaching your customer inside hosted flows in your brand. Because the program is shared, a counterparty cleared once is cleared for every business on the network, and first-time reviews that take around 30 days under one-off manual review close in 1–2 days.

When each fits

If you are an institution that runs and staffs its own fraud and AML program across many products and wants one platform to operate it from, Unit21 is built for that. If you are running a money product for business customers and want the compliance program run, or co-run, as part of the network you move money on, that is the job Infinite is built for. For the wider landscape, see case management AI: five models compared.

Frequently asked questions