Onboard customers fast, without loosening controls.

Screening runs as one real-time step inside the onboarding flow, so a decision is available in the time it takes to complete signup rather than waiting on a separate compliance review. Agentic entity resolution clears false positives before they reach a reviewer, and risk-based routing approves low-risk customers automatically, so only genuine edge cases are escalated to a human. This is how speed and control improve together rather than trading off against each other: the controls are not loosened, they are applied more precisely, with the heaviest scrutiny reserved for the applications that actually carry risk signals worth reviewer time. Every new customer is still screened against sanctions, PEP and adverse media, with the evidence attached to whatever decision is made, whether that decision was automatic or escalated, so the speed never comes at the cost of the audit record an examiner would expect to see.

Yes. Screening profiles, thresholds and suppression rules are configurable by the compliance team, so the checks applied to each customer segment reflect your documented risk-based approach rather than a single flat setting for every applicant. Different segments genuinely carry different risk at onboarding: a domestic retail customer and a cross-border business customer do not warrant identical scrutiny, and a configuration that treats them identically is either too heavy for one or too light for the other. Because configuration lives with the compliance team rather than in code, adjusting a threshold or adding a targeted suppression rule does not wait on an engineering release cycle, which is often where risk-based intentions stall in practice. Every configuration still produces the same explainable output: each screening result carries the matching and conflicting information behind it, so a tuned profile remains as defensible as a default one.

By clearing false positives up front through entity resolution and approving low-risk customers automatically through risk-based routing, BriteBase is designed to cut false positives by up to 80% and route only genuine edge cases to a human reviewer. That reduction compounds at volume: with traditional name-only screening, the large majority of what a manual review queue processes is noise rather than real risk, and clearing that noise before it reaches a human is what actually shortens onboarding queues rather than just making them feel faster. The customers who do reach a reviewer arrive with the evidence behind their escalation already attached, so the manual review that remains is genuinely investigative work on cases that warrant it, not the repetitive clearing of matches that were never going to be true hits in the first place.