KYC & AML Risk Agent Suite
Zensar Technologies Ltd · Finance & Accounting
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
**Modernize KYC and AML Risk Assessment:**
KYC and AML compliance is an ongoing burden across onboarding, periodic review, continuous monitoring, and remediation. Manual validation, fragmented workflows across teams, delayed risk verification, and remediation backlogs slow client activation and drive inconsistent decisions. This professional services offering delivers a multi-agent solution that automates the KYC/AML lifecycle and converts risk scores into transparent, reason-coded narratives—while focusing human oversight on genuine exceptions.
Show the rest of the publisher’s description (17 more lines)
The result is faster screening, more consistent risk decisioning, and audit-ready justification behind every rating.
**Multi-Agent KYC/AML Framework:**
Seven specialized agents work across the KYC/AML lifecycle: a document processor classifies, extracts, and validates client documentation; an identity verifier confirms client identity; a KYC/AML compliance agent runs sanctions, PEP, and background screening; a risk profiler generates risk scores across customer, geography, product, and behavioral factors; an adverse media agent surfaces negative news; an orchestrator agent coordinates the workflow; and a batch analytics agent supports portfolio-wide processing.
Scoring logic is deliberately separated from explanation generation, so each risk rating is accompanied by a clear, reason-coded narrative that a reviewer or regulator can follow. A human-in-the-loop layer sanitizes and enriches data before analyst review, meaning analysts assess structured decisions and summaries rather than raw search results. Monitoring cadence is set dynamically in response to PEP alerts, sanctions hits, adverse media, or transaction-pattern anomalies.
**Business Capabilities:**
Automate document intake, classification, extraction, and validation
Verify client identity and confirm beneficial ownership
Screen against sanctions, PEP, and adverse-media sources
Generate risk scores across customer, geography, product, and behavioral factors
Convert risk scores into clear, reason-coded narratives for reviewers and regulators
Set monitoring cadence dynamically based on alerts and behavioral anomalies
Focus analyst effort on exceptions through human-in-the-loop review
Maintain audit-ready justification and traceability for every risk rating
**AWS-Native Architecture:**
Built on AWS, the solution runs on a governed agentic platform. Amazon Bedrock provides foundation models, agents, and guardrails, with Amazon Bedrock AgentCore and AWS Step Functions orchestrating the specialized agents and AWS Lambda handling tool invocations. Amazon SageMaker AI hosts custom risk-scoring models, and Amazon Textract extracts data from client documentation.
Amazon OpenSearch Service powers vector and hybrid retrieval across regulatory, sanctions, and adverse-media sources, with Amazon Simple Storage Service (Amazon S3) for document storage, Amazon Aurora PostgreSQL for structured stores, Amazon DynamoDB for agent state, and Amazon Neptune for entity and relationship graphs. Client data is ingested from core banking, CRM, and external sources through Amazon API Gateway, Amazon EventBridge, and AWS Glue.
AWS Identity and Access Management (IAM) and AWS Key Management Service (AWS KMS) enforce least-privilege access and encryption, while Amazon CloudWatch, AWS CloudTrail, AWS Config, AWS Security Hub, and AWS Control Tower deliver observability, audit logging, and multi-account governance. The architecture is modular, event-driven, and designed for enterprise-grade resilience.
Highlights
Highlighted by the publisher on AWS Marketplace.
40–60% reduction in KYC time
50–60% automation coverage
30–35% productivity improvement
Agent build and provenance
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