How KTern.AI built agentic AI for SAP on Amazon Bedrock AgentCore
Not a pilot. KTern.AI deployed multi-agent orchestration across SAP enterprises using Amazon Bedrock AgentCore.
Why it matters
Enterprise AI is moving from chatbot experimentation to production agentic systems. This case study shows how a SaaS platform evolved its architecture to coordinate specialized agents with persistent context—a template for the next wave of AI product builds.
The key facts
10 to knowKTern.AI migrated from traditional SaaS to agentic AI platform
Built on Amazon Bedrock AgentCore and Strands Agents SDK
Multi-agent orchestration with persistent context and secure tool access
Long-running enterprise programs (SAP workflows)
Production-grade reliability requirement (not pilot phase)
Architecture uses Amazon Bedrock AgentCore with Strands Agents SDK
Agents operate with persistent context and secure tool access
Production-grade reliability achieved across long-running enterprise programs
SAP integration as primary use case
Multi-agent orchestration across specialized functions
Go to the source
AWS Machine Learning Blogaws.amazon.com
Publisher excerpt: Evolving from a traditional software as a service (SaaS) platform into a next-generation agentic AI platform meant orchestrating multiple specialized agents across long-running enterprise programs. Each agent operates with persistent context, secure tool access, and production-grade reliability. We…