A configurable rules engine built for your institution's risk profile, layered with behavioural AI and a case management workspace that puts every piece of the evidence in one place.
Every institution has a different risk profile. A digital lender monitors differently from a capital markets firm. Our rule setup agent helps you configure monitoring logic tailored to your institution type, geographic exposure, customer segments and specific areas of concern.
Adjust any threshold yourself without raising a support ticket. Change the limit, save, test, publish. Your rules, your control.
Run rules in a staging environment first to see exactly how many alerts it would trigger before you go live.
The platform identifies overlapping and redundant rule, and surfaces recommendations to optimise your ruleset.
Overlapping and redundant rules are identified automatically, with suggested fixes.
Rules catch what you know to look for. The AI watches for what you don't. It builds a baseline of normal behaviour for every customer and flags deviations, continuously, without a rule needing to be written first.
The customer's risk rating isn't set at onboarding and forgotten. Each transaction updates the model — new behaviour, new signals, new score. Monitoring thresholds and alert sensitivity adjust automatically. A customer who was low-risk at onboarding doesn't stay low-risk if their behaviour changes.
No switching between systems to understand an alert. Every piece of context an investigator needs is already there.
We'll walk through rules configuration, AI alerts and the case management workspace — tailored to your institution.