Payments Provider Simplifies Vendor Insights - Agent Analyst with AWS

Executive Summary 

A leading payments and merchant solutions provider faced challenges unifying data across Oracle Fusion, SAP ERP, Salesforce, and SharePoint for vendor management, compliance, and legal processes. Manual workflows slowed vendor onboarding, delayed payments, and hindered compliance visibility. By deploying Agent Analyst on AWS, the organization gained a unified, AI-native platform that integrates multi-agent orchestration, AWS-native services, and Responsible AI. The solution automated vendor queries, contract analysis, and compliance monitoring—reducing manual effort by 40%, improving SLA adherence, and enabling real-time insights for finance, legal, and compliance teams. 

Customer Challenge 

Customer Information 

• Customer: Leading Payments & Merchant Solutions Provider 

• Industry: Fintech / Payments 

• Location: Asia-Pacific 

• Company Size: ~1,500+ employees 

Business Challenges 

The organization struggled to unify data across multiple enterprise systems: 

• Vendor insights scattered across Oracle Fusion, SAP ERP, Salesforce, and SharePoint. 

• Manual contract reviews causing delays in vendor termination decisions. 

• Compliance gaps in adhering to RBI guidelines and timely vendor payments. 

• Limited visibility into vendor performance and complaint history across systems. 

• No centralized interface for finance, legal, compliance, and procurement teams to collaborate on vendor management. 
  

  The business aimed to reduce vendor payment delays, strengthen compliance, and implement a unified vendor performance framework. 

Technical Challenges 

• Legacy silos across Oracle Fusion, SAP ERP, and Salesforce. 

• Contract documents locked in SharePoint repositories with minimal analytics. 

• Manual data extraction and cross-system reconciliation slowing operations. 

• Scalability challenges with increasing vendor onboarding volumes. 

• Strict regulatory requirements for financial reporting and audit readiness.  

Partner Solution 

Solution Overview 

Agent Analyst on AWS was deployed as a multi-agent orchestration layer unifying ERP, CRM, and contract repositories. Leveraging Amazon EKS, Bedrock, SageMaker Clarify, and Neptune + ElasticCache + Bedrock Knowledge Base, the platform enabled natural language queries such as “What is Vendor X’s payment pattern?” and provided explainable, real-time insights across finance, legal, and compliance workflows. 

AWS Services Used 

• Amazon EKS: Containerized multi-agent orchestration. 

• Amazon S3: Vendor data snapshots and analytics storage. 

• Amazon Neptune: Vendor relationship graph and ontology mapping. 

• Amazon ElasticCache (Redis): Low-latency memory for sessions. 

• Amazon Bedrock + Guardrails: Responsible AI-driven natural language queries. 

• Amazon SageMaker: Fine-tuned models for compliance and contract analysis. 

• Amazon CloudWatch + X-Ray: Observability, tracing, and performance tracking. 

• AWS IAM + Cognito: Role-based access and authentication. 

Architecture Diagram 

Implementation Details 

• Approach: Agile delivery with vendor-specific use case sprints. 

• Integration: Secure MCP connectors for Oracle Fusion, SAP ERP, Salesforce, and SharePoint. 

• Contract Ingestion: AI agents extracted and indexed MSA terms, penalties, and termination rights. 

• Security: IAM roles, KMS encryption, TLS in transit, and CloudTrail auditing. 

• Testing: Iterative user validation with compliance and finance teams. 

• Timeline: 12 weeks (4 weeks connectivity, 6 weeks orchestration, 2 weeks testing/adoption). 

Innovation and Best Practices 

• Applied AWS Well-Architected Framework principles. 

• Built a Vendor Performance Index using Neptune graph-based scoring (delivery timeliness, payment compliance, SLA adherence, complaints). 

• Adopted DevOps pipelines on EKS for continuous deployment. 

• Leveraged Bedrock Guardrails to prevent hallucinations and enforce Responsible AI.