Company

How It Works

FinOptima provides a lightweight, cloud-based fraud intelligence layer that integrates seamlessly with existing voice, CRM, biometrics, and core banking systems — without requiring workflow redesign. The platform securely ingests essential metadata and live audio streams, analyzes customer interactions in real time, and returns structured risk insights for downstream decisioning, logging, and automation.

Unlike traditional biometrics, identity verification, or transaction monitoring tools that are increasingly vulnerable to AI voice cloning, FinOptima focuses on the live interaction itself. By supporting customer service agents during conversations, the platform detects deepfake and social engineering risks in real time using explainable AI, while always keeping humans in control of final decisions. Through seamless integration with existing fraud and verification tools, FinOptima creates a unified intelligence layer purpose-built for protecting human interaction channels.

High-Level Architecture Overview

FinOptima four-layer architecture: User Interaction and Signal Capture, AI Fraud Detection Engine, Gen AI Orchestrator, and Decision and Insights layers
FinOptima platform architecture — from signal capture to actionable decisions

User Interaction & Signal Capture Layer

Handles all external touchpoints and ingests raw behavioral and communication signals for fraud analysis.

AI Fraud Detection Engine Layer

Responsible for fraud identification using advanced machine learning and deep learning models. Operates detection and risk scoring.

Gen AI Orchestrator Layer (Agentic Reasoning)

Coordinates fraud intelligence, enhances detection with generative reasoning, and manages workflows and system actions. Interprets scores, enriches context, and triggers workflows.

Decision & Insights Layer

Delivers actionable decisions, risk intelligence, and compliance-ready insights to human teams and enterprise systems. Delivers verdicts, alerts, and evidence.

Step-by-Step Workflow

FinOptima eight-step fraud analysis workflow from event trigger through feedback loop
End-to-end workflow — from event trigger to continuous learning
  1. 1

    Event Trigger

    Process begins when a customer calls, a transaction crosses risk thresholds, etc.

  2. 2

    Data Ingestion

    FinOptima ingests input streams such as SIPREC, RTP, WebRTC, and telephony API.

  3. 3

    Normalization & Pre-Processing

    The integration layer converts all raw inputs into standardized schemas, including 8K/16K normalized waveforms.

  4. 4

    Multimodal Feature Extraction

    Voice Analysis, Device Intelligence, Behavioral Biometrics, and Transaction Context modules analyze their respective signals.

  5. 5

    Fusion & Correlation Layer

    All signals converge into a single multimodal risk engine.

  6. 6

    Decisioning (Real-Time Output)

    The platform produces one of three configurable outcomes: Approve, Step-Up Required, or Escalate.

  7. 7

    Alerting & Workflow Integration

    FinOptima pushes decisions to your CRM, contact center agent desktop, fraud case management system, SIEM/SOC systems, bank dashboards, or the FinOptima Console.

  8. 8

    Feedback Loop & Continuous Learning

    The decision is stored in the bank's tenant.

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