
October was about making investigations easier to see and easier to connect.
AI agent summaries now come with charts, so an investigator can read the shape of the activity before reading a single sentence. Alerts can be opened from Claude or any MCP client with a pasted link. Rules learned two new tricks: flagging the people connected to a risky party, and watching what happens after a key event like a password reset. And for compliance teams heading into exam season, we added OFAC screening reports and a full set of CTR metrics.
Here's everything that shipped.
AI agent summaries now include charts and visualizations alongside the written narrative.
When an agent reviews an alert, it pulls together a lot of activity: transaction volumes, counterparties, timing. Until now, all of that came back as text, and the investigator had to rebuild the picture in their head. Now the picture comes with it: the key patterns in the activity are visible at a glance, and the narrative is there for the detail.
This is the first step. More visualization types are on the way in future releases.
In August, we launched the Unit21 MCP server. In September, it learned to filter and query reports. In October, it can read alerts.
Investigators can now paste a Unit21 alert link or alert ID into Claude or any other MCP client and pull in the full alert:
No exports, no copying and pasting between tabs. From there, an investigator can summarize the alert, ask follow-up questions, or compare it against other context in the AI assistant they already use.
Access runs through a new read-only alerts capability and follows each user's existing alert permissions. If a user can't see an alert in Unit21, they can't see it over MCP either.
Risk rarely sits with one party or one moment. Two rule updates this month help detection follow it.
Rules can now use the relationships already defined in Unit21 to flag associated parties. When a business trips a rule, its beneficial owners can be flagged too. When an account looks suspicious, so can the other holders on that shared account.
Those connected parties are usually where an investigation goes next. Now your rules bring them into view automatically, instead of analysts tracing the connections by hand.
Real-time rules have always looked back from the transaction in front of them. Now they can also anchor to an earlier event and aggregate everything that happens after it.
That matters because so much fraud is a sequence: something happens, then the money moves. A few patterns this makes possible:
Anchoring to the triggering event lets you catch these sequences in real time, before the funds are gone.
Regulators and auditors don't just ask what your program does. They ask you to prove it. Two new additions to Reporting & Dashboards make that easier.
Orgs with watchlists now have an OFAC Screening tab on Reporting & Dashboards, with downloadable OFAC validation reports from the last six months.
Each month, OFAC SDN individuals and entities are run through Unit21's sanctions screening. The report shows, for every record, how many matches it produced, the strongest match and which sanctions programs those matches came from.
The result is a self-serve, trust-but-verify record that known sanctioned names are being caught, ready to hand over for model validation or an exam.
Program Efficiency now has a CTR section that sits alongside SARs under a new collapsible Filings section. It covers:
Every chart drills down into the matching CTRs. BSA teams can track deadlines, spot bottlenecks by agent and report on CTR performance from the same dashboard they already use for SARs.

Kunal Datta is the Chief Product Officer at Unit21. Prior to Unit21, he led the Product team for Checkout at Fast, and prior to that, led the Product teams responsible for automating aerial wildfire safety inspections at Pacific Gas & Electric.
He has a background leading Product teams using AI to automate processes at regulated entities, as well as financial products, machine learning products, web applications, mobile applications, hardware products, and data products. Kunal is a Fulbright Scholar and studied Civil and Environmental Engineering and Music Science Technology at Stanford University.