IBM Consulting Agentic Application – KYC-AI
IBM Consulting · HR & Talent
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
KYC-AI is IBM Consulting’s agentic AI solution that redefines how enterprises manage Know Your Customer (KYC) and Anti-Money Laundering (AML) processes. Built on IBM’s ICA for Agentic Applications framework and deployable on AWS, KYC-AI uses a collaborative system of intelligent agents to automate more than 50% of traditionally manual tasks—such as document intake, PEP/sanctions screening, entity resolution, and case-level investigation.
By integrating Retrieval-Augmented Generation (RAG), graph-based risk analysis, and configurable playbooks, KYC-AI delivers faster onboarding, greater regulatory confidence, and significant cost savings—without sacrificing traceability or control. Human-in-the-loop oversight ensures audit-ready decisions and policy alignment at every step.
Show the rest of the publisher’s description (4 more lines)
The solution is fully customizable to your business model and cloud ecosystem, with native integration into onboarding platforms, case management tools, and transaction monitoring systems. Whether you're a bank, insurer, fintech, or supply chain operator, KYC-AI accelerates compliance at scale.
What You Get:
Clients receive a configurable KYC-AI accelerator including intelligent agent workflows, customizable onboarding templates, network enrichment logic, compliance dashboards, and risk scoring models. IBM Consulting provides end-to-end implementation support with AWS-native alignment and enterprise-grade governance.
KYC-AI helps reduce onboarding friction, enhance fraud detection, and increase regulatory confidence—while scaling securely on AWS.
Highlights
Highlighted by the publisher on AWS Marketplace.
Business Highlights Faster Onboarding: KYC cycle time reduction w/ entity checks, screening & documentation review automation Cost efficiencies: Minimize manual touchpoints, analyst effort using AI-led triage, document parsing Improved Compliance: Consistent application of policy rules and reduce reputational risk via agentic orchestration Increased Transparency: AI vs human decision traceability w/ embedded governance Cross-Industry Scalability: Financial services, insurance, fintech, etc
Technical Highlights •Multi-Agent Architecture: Enables risk scoring, media screening, and compliance validation •Graph-Based Risk Detection: Surfaces hidden connections thru network enrichment, OSINT, media scans •RAG-Powered Compliance Intelligence: AI retrieves insights from policies & external data •Human-in-the-Loop Control: Escalates uncertain cases for manual review w/ traceable feedback •Cloud-Ready & Secure: Integration to existing onboarding, case management & monitoring systems
Agent build and provenance
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Sources
Linked repositories
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