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

🎙️ This episode is brought to you by ITRAC.

ITRAC builds AI-ready, low-code-enabled teams.

We help organizations move from AI pilots to real production execution through:

• Strategic Staffing
• Enterprise AI & Low-Code Training
• Agentic AI Bootcamps
• CoE & Governance Advisory

AI creates momentum.
Execution creates advantage.

Whether you're scaling delivery or building your AI capability — we help you build it right.

Are enterprises actually building AI… or just reacting to it?

In this episode of Drag & Drop, Feroz Khan sits down with Ingo Paas to discuss what’s really happening beneath the surface of enterprise AI, platform strategy, and modern software delivery.

From leading large-scale transformation at Green Cargo to authoring A Billion Times Smarter, Ingo brings a rare perspective on how organizations move from legacy complexity to composable, scalable systems and why most still misunderstand the problem they’re trying to solve.

This isn’t a conversation about tools. It’s about how enterprises think, decide, and build in the age of AI.

They discuss:

• Why most enterprise teams start with the wrong problem
• The shift from buying software → continuously solving business problems
• How low-code platforms change the relationship between IT and the business
• Why platform ecosystems matter more than individual tools
• The hidden risks of AI adoption, especially around control and decision authority
• What “governance” really means when systems operate at machine speed
• Why “human in the loop” may already be an illusion
• How decision power is quietly shifting from people to systems
• What enterprises must do to stay in control as AI scales

This episode goes beyond the hype.

Because the real challenge isn’t adopting AI, it’s building systems you can actually understand, govern, and trust.

Tell us what you loved about this Episode.

Website: itracusa.com
Contact: Feroz Khan

🎙️ This episode is brought to you by ITRAC.

ITRAC builds AI-ready, low-code-enabled teams.

We help organizations move from AI pilots to real production execution through:

• Strategic Staffing
• Enterprise AI & Low-Code Training
• Agentic AI Bootcamps
• CoE & Governance Advisory

AI creates momentum.
Execution creates advantage.

Whether you're scaling delivery or building your AI capability — we help you build it right.

How does AI actually work inside real enterprise development?

In this episode of Drag & Drop, Feroz Khan sits down with Mendix MVP Neel Desai to explore how AI is being used inside low-code platforms and why low-code may have been built for AI all along.

As organizations race to adopt AI, many are stuck between traditional development, low-code platforms, and a new wave of AI tooling. But the real shift isn’t just about building faster… It’s about building systems that are structured, governed, and scalable.

Neel shares insights from working directly with enterprise teams, building his own AI tools, and helping developers move from experimentation into real-world delivery.

What you’ll learn in this episode:

- Why low-code platforms are naturally suited for AI-assisted development
- The difference between AI copilots and real enterprise AI usage
- Why AI doesn’t need to start from scratch inside structured platforms
- The risks of AI in development, including hallucination and loss of control
- Why governance, security, and architecture still matter in an AI-first world
- How developers are starting to build and control their own AI tools
- Why enterprises are struggling to choose between AI and low code
- How AI is changing the role of developers, not replacing them

The conversation is shifting.

From building applications faster…to building systems you can actually trust.

Tell us what you loved about this Episode.

Website: itracusa.com
Contact: Feroz Khan

🎙️ This episode is brought to you by ITRAC.

ITRAC builds AI-ready, low-code-enabled teams.

We help organizations move from AI pilots to real production execution through:

• Strategic Staffing
• Enterprise AI & Low-Code Training
• Agentic AI Bootcamps
• CoE & Governance Advisory

AI creates momentum.
Execution creates advantage.

Whether you're scaling delivery or building your AI capability — we help you build it right.