Know Your Customer

AI-driven KYC automates identity verification and risk assessment for compliance and efficiency.

Business impact

• Customer onboarding time — Reduced onboarding duration accelerates client acquisition and satisfaction
• Fraud detection rate — Enhanced detection lowers financial crime and protects institution assets
• Regulatory compliance rate — Improved adherence reduces risk of fines and reputational damage
• Operational efficiency — Automation decreases manual workload and operational costs
• Customer satisfaction — Faster, smoother processes increase customer trust and retention

Data requirements

• Customer identity documents (Image) — Used for biometric and document verification
• Transaction records (Numeric) — Analyze behavior patterns for risk and fraud detection
• External databases and sanction lists (Structured) — Cross-check customer legitimacy and compliance status
• Social media and adverse media (Text) — Monitor reputational risks and negative news
• Device and geolocation data (Numeric) — Verify customer device and location consistency

AI methods and techniques

• Predictive AI — Forecast customer risk and detect suspicious patterns in real time
• Generative AI — Automate document analysis and customer interaction via chatbots
• Agentic AI — Orchestrate multi-agent workflows for complex KYC process automation
• Symbolic AI — Apply rule-based compliance checks and explainable decision logic

AI models and model families

GPT-4o, Gemini, Claude, C3 AI, Llama

Industries

Real-world evidence

16 documented case studies on record.

Companies using this: Alloy, Binance, Brex, Cino, Entrust, FIS, Feedzai, Fourthline, Galxe, Global, Jyske Bank, Klarna, Meo, Onda Pi, Saifr Fidelity and 1 more.