GenAI Ops: Moving from AI Prototypes to Scalable Production

Nicolas Klein
Nicolas KleinAuthor
Björn Busch-Geertsema - Ergosign
Björn Busch-GeertsemaAuthor
Reading time
6 Minutes
Published
26. März 2026
Topics
Development, Artificial Intelligence, Concept, Operate, Product Vision

Why 95% of all GenAI pilot projects fail—and how you can do better.

Chatbots dazzle in demos but fail in live operation: skyrocketing costs, hallucinations, and unpredictable responses. Using a real-world scenario, this whitepaper demonstrates why traditional DevOps is insufficient for Generative AI—and how GenAI Ops is becoming the critical factor for success.

In our whitepaper, learn how companies use Observability, Prompt Management, Evaluations, and Guardrails to regain control over the quality, costs, and scalability of their AI applications. Practical, easy to understand, and directly applicable—from prototype to production system.

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Understanding and implementing GenAI Ops

Serious about AI in production? You need the right operational groundwork. This German whitepaper delivers a hands-on introduction and clear roadmaps for stakeholders and dev teams.

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Björn Busch-Geertsema

Björn Busch-Geertsema

UX Software Engineering Director, Head of Development