Why Most Enterprise AI Strategies Will Fail | Chris Merz, Siemens

In this episode of Drag & Drop, I’m joined by Chris Merz from Siemens to discuss how enterprise AI is moving beyond chatbots, copilots, and isolated use cases.

We talk about why moving fast with AI is not enough, why data context and governance matter more than ever, and how platforms like Mendix are evolving beyond low-code into a much bigger enterprise AI conversation.

Chris shares his perspective on what enterprises are getting right, where many are going wrong, and why AI adoption needs to be connected to real business outcomes, not just individual productivity.

We also discuss the role of partners, the future of developers, the risk of creating AI silos, and what organizations need to think about if they want to move from AI experiments to scalable, governed AI systems.

If you’re involved in enterprise AI, application development, low-code, digital transformation, or technology strategy, this conversation is for you.

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Contact: Feroz Khan

🎙️ This episode is brought to you by ITRAC.

ITRAC helps organizations build Enterprise AI capability.

We support enterprise teams through:

• Specialist AI & OutSystems Talent
• Enterprise AI Training & Enablement
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From developing your existing teams to finding specialist talent, ITRAC helps organizations build the skills and capability needed to adopt AI effectively.

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