Financial Crime & AML

Screening, Transaction Monitoring & Investigation at Alert Volume

Financial crime controls generate far more alerts than any team can work, and the overwhelming majority are noise. Every one still has to be looked at, and every decision has to be documented well enough to show a regulator years later. Scalata's agentic AI platform assembles each alert into a reviewable case — the customer, the counterparties, the payment history and the adverse media — so analysts spend their time deciding rather than gathering.

Case-readyEvery alert assembled before an analyst opens it

AutomatedAdverse media, sanctions & register searches

ConsistentDisposition against your own written policy

Regulator-readyFull narrative and evidence on every decision

How it works

The four-step journey

The same shape every time: name what is going wrong, put the documents somewhere they can be read, let people ask questions of them, and then hand the repeating parts to agents that do not need asking.

01
Confronting Alert Volume & False Positive Rates
Screening and monitoring systems raise alerts faster than they can be worked, and most are false positives. Analysts spend their day pulling customer records, payment histories and news searches together before they can even begin to assess a case, and backlogs push decisions past the deadlines the regulator sets.
High false positive ratesManual evidence gatheringAlert backlogsReporting deadline pressure
02
Building a Unified Financial Crime Data Core
Customer files, onboarding documents, payment history, screening hits and adverse media are ingested and joined into one case record per alert, with the source of every fact preserved.
Document AIKYC file ingestionPayment history aggregationScreening & adverse media capture
03
Activating Intelligent Case & Network Analytics
Alerts are assessed against your own typologies and risk appetite, counterparties are resolved across accounts and entities, and the network behind a customer becomes visible rather than inferred one payment at a time.
Conversational AITypology-based assessmentCounterparty resolutionNetwork & pattern analysis
04
Full Automation with Proactive Financial Crime AI Agents
Clear false positives are closed with a documented rationale, genuine cases arrive fully assembled with a draft narrative, and agents track every case against its regulatory clock.
Automated false-positive closureDraft SAR narrativesDeadline trackingPeriodic review triggersAI Agents

Strategic Outcome

The backlog stops growing. Analysts work the alerts that deserve a person and close the rest with a rationale on the record, escalations are raised on evidence rather than on suspicion alone, and a supervisory review becomes a matter of retrieving the file rather than reconstructing it.

Who Scalata serves