
XZiel is FinRay’s multi-agent AI compliance engine built to interpret, score, and explain financial transaction risks in real time.
It is model-agnostic and can orchestrate different ensembles — e.g., Claude Sonnet, OpenAI o1, and Apertus LLM — for policy checks, sanctions screening, and behavioral analysis, with easy swap-in of alternatives (e.g., Llama/Mistral) per client policy.
Each payment follows five stages: Policy Check, AI Analysis, Risk Scoring, Consensus, and Audit Log. Routine payments pass through standard rules and KYT, while only flagged or unusual transactions undergo multi-model AI review and consensus, optimizing cost, speed, and decision quality.
Deployment: Claude Sonnet and OpenAI o1 via private, VPC-isolated cloud (not fully on-prem). Apertus LLM runs entirely on-prem (open-source stack) to ensure data residency and privacy.
By combining rules/KYT with selective, explainable AI consensus, XZiel delivers a dynamic, auditable, and cost-efficient compliance layer that meets supervisory expectations with speed, precision, and traceability.
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