AI made development faster… but has it actually made it better?

In this episode of Drag & Drop, Feroz Khan is joined by OutSystems MVP Krishnnambal Sundaram to break down what’s really changing in software development and why speed is no longer the advantage it once was.

As AI tools and “vibe coding” make it possible to build applications in minutes, the real challenge is shifting somewhere else entirely. It’s no longer about how fast you can create something… it’s about whether you can trust it, scale it, and run it in a real-world environment.

Krishnnambal shares her journey from traditional development into low-code, training over 2,000 developers, and what she’s seeing firsthand as AI reshapes how teams build, deploy, and think about software.

What you’ll learn in this episode:

• Why speed is no longer the key differentiator in modern development
• The gap between building quickly and running in production
• The biggest misconceptions around low-code and why they still exist
• How AI is changing (and not changing) the role of developers
• Why many developers struggle to understand the code AI generates
• The difference between prototype-ready and production-ready systems
• How platforms are evolving to bring governance, trust, and context into AI development
• What developers should focus on now to stay relevant
• The importance of architectural thinking in an AI-driven world
• Certifications vs real experience and what actually matters in hiring

The shift is already happening.

From building faster…to understanding what you’ve built…and being able to run it when it actually 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.

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.

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.

AI is changing how software is built.

But inside enterprises, there’s no longer a single way to develop or deliver.

In this episode of Drag & Drop, Feroz Khan speaks with Howard Miller, CIO of the UCLA Anderson School of Management, about how AI is reshaping enterprise development, and what it actually takes to move from experimentation into real delivery within a higher education environment.

From the rise of tools like Claude to platforms like OutSystems, this conversation explores how modern enterprises are combining multiple technologies to stay agile, reduce technical debt, and modernize legacy systems.

In this episode, we discuss:

• Why there’s no longer one way to build in the enterprise
• How AI is changing the way organizations approach development
• Why flexibility and a multi-tool strategy is becoming essential
• How platforms like OutSystems support modernization and reduce technical debt
• The importance of choosing the right first use case
• Why development fundamentals still matter in an AI-driven world
• The challenges of adoption inside higher education environments

Whether you’re a CIO, developer, or enterprise leader, this episode offers a real-world perspective on AI, enterprise architecture, and the future of software development.

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.

Agentic AI Explained: APIs, Identity, Security, and Enterprise Readiness
Why AI doesn’t create problems — it exposes them.

In this episode of Drag & Drop, Feroz Khan speaks with Miroslav Samoilenko, Director of Solution Architecture at JELD-WEN, Inc., who brings nearly 30 years of experience across enterprise systems, traditional software development, and low-code.

As organizations move from chatbots to agentic AI, the conversation is shifting from experimentation to real-world execution.

But here’s the reality:

AI doesn’t create new problems.
It exposes the ones already inside your enterprise.

In this episode, we explore what that means for enterprise teams, architects, and technology leaders.

In this episode, we cover:

•What “agentic AI” actually means in simple terms
•Why AI amplifies existing issues in data access and governance
•The hidden risks around APIs and enterprise architecture
•Identity challenges when AI agents interact with systems
•Why zero-trust security becomes critical in an AI-driven world
•How low-code platforms like Mendix enable faster enterprise delivery
•The evolving role of developers, architects, and product owners

As AI agents begin to access data, call APIs, and trigger workflows, organizations must rethink how systems are governed, secured, and scaled.

This is not just a technology shift.

It’s an operating model shift.

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.