The filing clock starts at detection
In the US, FinCEN gives you 30 calendar days from initial detection to file a SAR. India's PML Rules give 7 working days once you're satisfied a transaction is suspicious. A backed-up queue eats that window.



28 specialized agentsAll systems operational
Ready to transform your security infrastructure?
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Aiden FluxSenior AI Fraud Risk AnalystFraud Detection & Risk Scoring
Rhea LedgerSenior AI KYC/AML Compliance DirectorKYC/AML & Sanctions Screening
Nova SentinelLead AI Zero Trust Security ArchitectZero Trust Access Security
Iris VermaAI Verification SpecialistIdentity Verification & KYC
Oscar GraySenior AI OSINT Intelligence DirectorOSINT & Threat Intelligence
Bella NovaAI BNPL Risk AnalystBNPL Risk Monitoring


28 specialized agentsAll systems operational
Ready to transform your security infrastructure?
Explore our complete agent library and request a custom demoView All Solutions


28 specialized agentsAll systems operational
Ready to transform your security infrastructure?
Explore our complete agent library and request a custom demoView All SolutionsAI agents review each alert against your scenarios, the customer's own history and similar past cases. Where you allow it, obvious false positives close with a recorded reason. The rest reach your analysts with the evidence already gathered.
Rules fire on the same customers for the same reasons, month after month. Each alert means opening the same screens and writing the same note. The cases that deserve real attention wait in the same line as the noise.
In the US, FinCEN gives you 30 calendar days from initial detection to file a SAR. India's PML Rules give 7 working days once you're satisfied a transaction is suspicious. A backed-up queue eats that window.
A rule doesn't know your analyst closed the same pattern last month. So the same customer lands in the queue again, and someone repeats the same review.
FATF Recommendation 11 asks you to keep transaction records for at least five years. An alert closed with "no concern" and no reason is a finding waiting for the next examination.
Your monitoring system keeps generating alerts. Our agents pick each one up, gather what an analyst would gather, and decide where it goes based on rules you set.
We don't publish accuracy numbers from demos. We'll measure the change on your own alerts in shadow mode, and you'll see the base rate, the scenario set and who reviewed the closures.
Transactions, profile, screening and history in one place.
Each alert closed, by a person or an agent, carries a reason code.
You set which alerts an agent may close and which always go to a person.
Compare the agent's view with your team's decisions before anything changes.
Each agent has a defined job. Your analysts see who did what, and why.
Scores each alert on the activity, the customer's baseline and the scenario that fired.
Adds the AML view: who the customer is, how they're rated and who they paid.
Links every step to its evidence so the decision can be replayed later.
Most monitoring tools were built for tier-1 banks in the US and EU. Our agents work with local scenarios, local regulators and local reporting formats.
No. Your system keeps generating alerts. Our agents review those alerts and prepare the case, so you don't have to rip anything out.
Only if you allow it, and only for the alert types you choose. Every closure carries a reason code, supervisors can sample and reopen them, and every agent has a kill switch.
We start in shadow mode. The agent reviews the same alerts your team does, and you compare its view with your analysts' decisions before anything changes.
The full case history. The alert, the evidence gathered, the agent's reasoning, the analyst's decision and the reason code, each timestamped and replayable.
We build for the reporting formats and expectations of regulators in our markets, including RBI and FIU-IND in India, the Central Bank of Kuwait, the Bank of Jamaica and the UAE FIU's goAML reporting.
Your alerts, the transactions behind them and the customer record. More history means better baselines, but we can start with what your monitoring system already holds.
Pick one alert type. We'll run the agents in shadow mode on your own data and show you the cases they prepare. Your team decides what happens next.