How BMO Automated the Slowest Step in AML Screening
Blog post from Tavily
BMO, a North American bank serving more than 10 million customers, introduced Tavily as a secure retrieval layer for its anti-money-laundering compliance process, where analysts must research counterparties for convictions, enforcement actions, and negative media coverage. Previously, these mandatory searches were performed manually or outsourced to partner firms, limiting scalability as volumes increased. Tavily now provides ranked web sources, extracted relevant passages, and full-page content when needed, while BMO’s internal models assess potential risk and investigators make final determinations. The system was compatible with BMO’s approved security architecture and has helped standardize retrieval results across investigator workflows. After launching AML as its first production use case, Tavily search volume grew from about 40 calls in its first month to more than 129,000 in July 2026, and BMO is expanding the API-based integration to additional teams and agent-driven use cases.
No tracked trend matches for this post yet.
Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.