In this post, learn how KTern.AI, an SAP digital transformation platform, used Amazon Bedrock AgentCore to build and deploy AI agents ready for enterprise-scale SAP transformation workloads. These agents autonomously orchestrate workflows from reverse engineering, fit-to-standard, and code analysis to exception mining in Finance and Sales processes. The result is automation without custom agent infrastructure.

SAP digital transformations are among the most complex, high-stakes initiatives an enterprise can undertake. They span months or years, involve intricate interdependencies across business processes and custom code, and demand domain expertise that is hard to scale with human consultants alone. At KTern.AI, we have spent years building a system that makes these transformations faster and more predictable. Our move to agentic AI is the most significant leap in that mission to date.

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.