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KTern.AI's Journey: Building Agentic AI for SAP on Amazon Bedrock AgentCore

In this article, we explore how KTern.AI transformed a traditional software-as-a-service (SaaS) platform into an agentic AI solution using Amazon Bedrock AgentCore. The process involved orchestrating multiple specialized agents with persistent context and secure tool access, ensuring production-grade reliability.

KTern.AI built this system on Amazon Bedrock AgentCore using the Strands Agents SDK. This post walks through how we architected it, which agents we built, and the outcomes for our customers.

Enterprise Impact

The agentic AI solution has significantly enhanced our customer's operations by automating routine tasks, improving data accuracy, and reducing manual errors. This resulted in a 30% increase in productivity and a 15% reduction in operational costs.

Sources

• How KTern.AI built agentic AI for SAP on Amazon Bedrock AgentCore
• Fine-tune NVIDIA Nemotron 3 models with Amazon SageMaker AI serverless model customization
• Real-time dental image verification with Amazon SageMaker AI at Henry Schein One
• Disaggregated prefill and decode for LLM inference on SageMaker HyperPod