120,000 Users. 50 AI Models. Live in 5 Months.

Background

In late 2023, Siemens decided to move from purpose-built "Narrow AI" solutions to a universal AI platform for all employees. Every Siemens employee should have access to AI models like Claude, GPT, and Gemini without requiring technical expertise.

Challenge

• Enterprise-scale rollout: 120,000+ employees worldwide
• LLMs did not support native agentic workflows at the time
• Over 1,500 AWS accounts in a complex cross-account infrastructure
• Provider agnosticism: No lock-in to a single AI provider

Solution

SiemensGPT: Designed together with FNTIO and launched within 5 months. Custom Agent Framework built because LLMs did not yet support agentic workflows. Provider-agnostic AI platform with a No-Code Agent Builder.

Siemens Data Cloud: Platform spanning 1,500 AWS accounts for the entire Siemens AI landscape.

Why FNTIO?

Siemens was looking for a specialized partner that delivers in weeks. FNTIO brought the rare combination of cloud infrastructure expertise and AI engineering needed to operate a platform with 50 models across 1,500 AWS accounts.

Results

Metric	Value
Users	120,000 employees
AI Models	50 available
Documents Processed	100,000+
AI Agents Created	10,000+ (No-Code)
Messages per Day	Hundreds of thousands
Time-to-Market	5 months to go-live

Your Starting Point: Enterprise AI Platform

You want to use AI not as an experiment, but as a productive tool for your organization? Here is how it would begin for you.

Week 1: Understand what exists. We analyze your existing AI landscape, your cloud infrastructure, and your requirements for model access, security, and scaling. Hands-on, with login access to your environment.

Week 2: First agent in production. A concrete use case defined by your team. Not a chatbot demo, but an AI agent that does real work. In your infrastructure, with your data, under your security requirements.

Week 4: Platform foundation in place. The architecture for your AI platform exists as code. First productive agent is running. Your team can create and deploy their own agents. From here, the platform scales.

What Siemens achieved after this point: 120,000 users, 50 AI models, 10,000+ agents.

Let's talk about your AI platform. →