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.

What does the future of developers look like in the AI era?

In this episode of Drag & Drop, Feroz Khan sits down with Kris Lande, Chief Marketing Officer at OutSystems, to explore how AI is reshaping software development and why community is becoming the real competitive advantage.

As organizations race to adopt AI, the conversation is shifting from building apps faster… to building intelligent systems that actually scale. And at the center of this shift? Developers, ecosystems, and the communities that support them.

Kris shares insights from her experience at Salesforce and now at OutSystems, where she’s focused on building one of the most vibrant global developer communities in enterprise AI.

What you’ll learn in this episode:

• Why AI isn’t replacing developers, it’s expanding the role
• How developers are evolving into system orchestrators across platforms
• Why community is now the fastest way to learn and adopt AI skills
• The difference between marketing software vs building an ecosystem
• How champions, MVPs, and advocates drive trust in enterprise technology
• Why platforms must create career pathways, not just tools
• How OutSystems is positioning itself in the AI era

The challenge today isn’t access to AI.

It’s knowing how to use it in real-world environments with the right skills, governance, and support.

And increasingly, that learning isn’t happening in traditional education.

It’s happening inside communities.

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.

AI adoption is accelerating.

But for most enterprises, the challenge isn’t access to the technology; it’s making it work in reality.

In this episode of Drag & Drop, Feroz Khan speaks with Eleni Kelly, CIO and transformation leader, about what’s really happening inside organizations as they try to operationalise AI.

This conversation goes beyond tools and trends, focusing on the underlying factors that determine whether AI delivers value or stalls - from data fragmentation and legacy systems to decision-making, ownership, and organisational readiness.

In this episode, we cover:

- Why many AI initiatives struggle to move beyond pilot
- How inconsistent data impacts AI outcomes
- The role of enterprise architecture in supporting AI at scale
- The hidden complexity behind deploying and running AI models
- Why decision-making frameworks matter more than ever
- Where platforms like OutSystems fit into modern enterprise delivery
- How developer responsibilities are shifting in an AI-driven environment
- What guardrails are needed as systems become more autonomous

If you’re working within a complex organization and trying to turn AI into something practical, this episode offers a grounded view on what it actually takes.

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.