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: Leading Payments & Merchant Solutions Provider
Industry: Fintech / Payments
Location: Asia-Pacific
Company Size: ~1,500+ employees
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.
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.
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.
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.
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).
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.
40% faster vendor insights: Queries resolved in seconds instead of hours.
Reduced SLA breaches: Vendor payment delays dropped by 25%.
Regulatory readiness: Automated mapping of vendor complaints to compliance status.
Improved legal efficiency: Contract review time reduced by 50%.
Cross-team collaboration: Finance, compliance, and procurement unified on one platform.
Scalable: EKS + autoscaling handled thousands of vendor queries.
Resilient: CloudWatch + X-Ray ensured >99.9% uptime.
Fast: ElasticCache reduced query latency by 60%.
Secure: IAM + KMS ensured least-privilege access and encrypted storage.
Future-ready: Modular design allows integration with ServiceNow and other platforms.
Integration complexity across ERP and CRM systems—addressed with MCP connectors.
Contract parsing accuracy—improved using fine-tuned Bedrock models.
Change management—facilitated adoption with training and hands-on workshops.
Prioritize compliance-critical use cases for quick wins.
Establish a vendor ontology in Neptune early to unify datasets.
Deploy observability dashboards to track adoption and SLA metrics.
Extend integration to ServiceNow for automated vendor complaint tracking.
Deploy forecasting models in SageMaker for proactive vendor risk analysis.
Expand adoption across international operations.
Continue optimization with AWS and partner-managed AgentOps services.