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Why are AI agents easy to build… but so hard to run in the enterprise?
In this episode of Drag & Drop, Feroz Khan is joined by OutSystems MVP Lotte Kuiper to explore what really happens when AI moves from prototype to production and why many teams are unprepared for what comes next.
As AI becomes more accessible, teams are rapidly building agents, automations, and new workflows. But while it’s easier than ever to create something that works, running it in a secure, governed, and trusted environment is a completely different challenge.
Lotte shares insights from working closely with enterprise teams, testing new platform capabilities, and building real-world AI solutions that go beyond experimentation.
What you’ll learn in this episode: - Why AI agents are easy to build but much harder to run in production - The biggest risks when moving from prototype to real-world deployment - Why data, structure, and process still matter in an AI-first world - The challenge of trust and why AI still feels like a “black box” - How enterprises should think about governance and control for AI systems - What developers often underestimate when working with AI in low-code platforms - How AI is reshaping the gap between high-code and low-code development - Why “vibe coding” and rapid builds can create hidden technical risk - How the role of developers is evolving into orchestration and system design
The shift is already happening.
From building AI quickly…to making sure it actually works when it matters. Tell us what you loved about this Episode. Website: itracusa.com Contact: Feroz Khan |