Your headcount shouldn't decide which alerts get investigated
Your headcount shouldn't decide which alerts get investigated. DataScient builds AI Agents for AML, fraud and compliance operations, powered by a Behaviour Graph that learns from every investigation. WHAT YOU ARE MEASURED ON - Speed: onboard customers and clear genuine transactions faster, so revenue grows - Cost: lower the cost of every alert and case, straight to the bottom line - Risk: reduce exposure, with no surprises for the C-suite and Board - Compliance: stay defensible with regulators and protect the institution WHY MORE HEADCOUNT DOESN'T GET YOU THERE: More analysts add cost and slow onboarding, and most alerts are still false positives. Context sits across systems, new typologies take months to reach your rules, and when an experienced investigator leaves, their judgement leaves too. HOW WE FIX IT: The Behaviour Graph holds what your institution knows about normal and abnormal behaviour: - Intent: why behaviour deviates from normal - Memory: cases, decisions and filing outcomes, learned from analyst feedback - Context: every connected data source and pattern AI Agents run on it: they triage alerts, build the case picture, investigate high-risk networks and draft the SAR narrative. Every alert gets the depth its risk warrants; analysts keep approval authority. The result: faster decisions, lower cost per case, risk you can see early, and a decision trail a regulator can follow. BUILT FOR REGULATED BANKS: Every decision is explainable and logged, with human sign-off and documentation for model validators. Run on-prem, in your private cloud or air-gapped, with local LLMs, so data never leaves your walls. START SMALL: One Agent, one piece of work, on your data. Prove it on past alerts before go-live, then add Agents as trust builds. No rip-and-replace. Let's talk: a 30-minute conversation to scope your first AI Agent. datascient.ai