How KTern.AI built agentic AI for SAP on Amazon Bedrock AgentCore
Article summary
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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 built that 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.
1Key Takeaways
- 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 built that 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.
2AIWedia Score
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3Why it matters
Cloud AI updates influence enterprise budgets, latency, and which stack teams standardize on. AWS ML Blog reports that 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.
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