What the client needs
The problem
Compliance teams face high alert volumes, fragmented evidence and time-consuming manual investigation. False positives consume capacity while complex network patterns are difficult to review quickly.
Reference implementation · Fintech & Risk Intelligence
AI AML & Financial Crime Investigation
A transaction-risk platform combining streaming rules, anomaly models, relationship graphs and AI-assisted investigation workflows.
40%target alert review time reduction*
3×faster evidence assembly in reference workflow*
100%cases retain source evidence links
0autonomous account freezes by design
What KOIT offers
The solution
The platform streams transactions through deterministic rules and ML risk scoring, enriches alerts with customer and network context, then uses investigation agents to assemble evidence and produce a reviewable case summary for analysts.
How we designed it
System architecture
Transaction StreamPayments, transfers and account events
→
Rules + MLScenarios, anomalies and risk scoring
→
Relationship GraphEntities, counterparties and network links
→
Investigation AgentsKYC, history, policy and evidence
→
Analyst CaseworkReview, decisions and audit record
Proof of capability
Evidence is part of the architecture.
These cases are designed to show how the system behaves—not only what technologies appear in the stack.
Real-time alert generationDemonstrated in the reference implementation and supporting test/evidence workflow.
Explainable risk factorsDemonstrated in the reference implementation and supporting test/evidence workflow.
Graph relationship analysisDemonstrated in the reference implementation and supporting test/evidence workflow.
Evidence-backed case summariesDemonstrated in the reference implementation and supporting test/evidence workflow.
Analyst approval before actionDemonstrated in the reference implementation and supporting test/evidence workflow.
Model and rule monitoringDemonstrated in the reference implementation and supporting test/evidence workflow.
Want to apply this architecture to your environment?
We’ll start with your constraints, integration landscape, control requirements and measurable target.