Pega Marketplace
AI Driven KYC Deficiency Determination
AI Driven KYC Deficiency Determination uses GenAI to extract KYC data, apply business rules, and produce clear deficiency ratings, improving accuracy, reducing effort, and speeding compliance
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Overview
AI Driven KYC Deficiency Determination is a microservice‑based, AI‑powered solution that automates the identification of deficiencies in KYC processes. It ingests customer KYC data—such as Name, Address, and supporting document metadata including base64‑encoded files—and uses GenAI models to extract key information from submitted documents. The extracted fields are then evaluated through configurable business rules to detect gaps, mismatches, or missing details, generating a clear deficiency rating (High/Medium/Low) along with structured extracted data. The solution is fully tool‑agnostic and integrates seamlessly with both Pega and non‑Pega systems through standard APIs. By replacing manual review with intelligent automation, AI Driven KYC Deficiency Determination enhances accuracy, reduces operational workload, accelerates KYC processing, and strengthens overall compliance efficiency.
Key Features
- KDD is a microservice-based AI-driven application that automates KYC Deficiency detection
- It receives KYC data (Name, Address etc.) and document metadata (base64 encoded), triggers GenAI for extraction, applies business logic, and outputs a deficiency rating (High/Medium/Low) along with extracted data
- It is tool-agnostic and can be integrated with Pega and non-Pega systems.
- KDD significantly enhances accuracy, reduces manual workload, and increases operational efficiency
Resources
Partner Name
EY
Tags
- Pega Products: Pega Client Lifecycle Management for Financial Services Pega Know Your Customer for Financial Services
- Industry: Financial Services
- Product Capability: Artificial Intelligence Customer Journeys Workflow Automation Case Management
- Pega Version compatibility: Pega Platform '25 '26.2 '24 '24.2 '24.1 '26.1 '23 8.1 8.8 8.7 8.6 8.5 8.4 8.3 8.2
- Geography: EMEA
Offering Type
Component