Siemens Energy and FNTIO Build a Self-Service AI Agent Platform With 4+ Agents in Production

According to FNTIO's case study, Siemens Energy's self-service AI agent platform has 4+ agents in production: Coco AI for HR, the AWS Architect agent, Data Transform agents and a Voice Agent. Agent creation is self-service for enterprise teams, models from several providers are accessed through LiteLLM, and deployment is fully automated via Fargate and Lambda. Siemens Energy wanted to scale AI agents across the entire organization, and its HR department sought a specialized partner and engaged FNTIO directly. The challenges listed were a growing number of departments wanting their own AI agents, teams needing to create, host and monitor agents independently, integration into existing business applications, and enterprise requirements for security, compliance and monitoring. The case study says Siemens Energy had seen with SiemensGPT what FNTIO had built at the parent company and wanted the same approach: working AI agents in weeks, directly in production. The solution is a self-service agent platform with agent lifecycle management, so agents are built, deployed and monitored in one platform. LiteLLM gives access to Claude, GPT and Gemini. Agents interact with HR systems (COIN, HR DataHub), Slack and CloudWatch, and FNTIO's forward-deployed engineers coach teams in building their own agents. The listed tech stack is AWS (Fargate, Lambda, Step Functions, CloudWatch, S3), LiteLLM, Anthropic Claude, Google Gemini, Python and TypeScript. Coco AI explains management processes, knows the organization and integrates HR data. The AWS Architect agent is self-healing: it analyzes CloudWatch errors and posts root-cause analyses in Slack. Data Transform agents write Python code for legacy integrations and deploy automatically. The Voice Agent provides real-time voice-based interaction for HR processes. FNTIO describes these as agents with real system permissions rather than chatbots, on a platform that is scalable for the entire organization.