Roe AI

Roe AI does the part of compliance work nobody enjoys. An analyst gets an alert, then spends an hour opening statements, filings, sanction lists, and three browser tabs that were built in 2009. Roe runs that loop with an AI agent and hands back a decision with a citation behind every claim.

The company started as an unstructured data warehouse, built by a team that came out of Snowflake. That origin still shows. SQL sits at the center of the product, so the agent can query transaction tables for numbers and read PDFs or call recordings for context in the same case. Structured half, unstructured half, one answer.

Its current focus is narrower and more useful. As fraud investigation software it aims at the second line of defense at banks, card networks, BNPL providers, marketplaces, and crypto compliance teams. Affirm, Dutchie, and Crossmint appear among its published customers.

Set expectations before you sign anything. Roe is sold to enterprises, with no self-serve signup and no public price list. A team handling five alerts a week won't get value from it. A deployment also needs real input from your side: data access, written SOPs, and an analyst who can grade the agent's early output. According to Roe, customers see 90%+ accuracy on production cases from day one, 91% faster time to disposition, and 70% lower cost than offshore fraud operations. Those are vendor figures, benchmarked against analyst-graded cases and shared in full only under NDA.

Getting Started

1. Book a scoping call with the Roe team and pick one workflow, usually alert triage or dispute review.
2. Connect the systems that hold evidence: your warehouse, case manager, sanctions and KYC providers, plus SSO for access control.
3. Write down the SOP the agent should follow and replay a batch of closed cases against it to see where the reasoning breaks.
4. Deploy into your own VPC or on-premises environment, then keep grading outputs so QA feedback keeps tuning the policy.