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Drag & Drop

Drag & Drop

Hosted by ITRAC – Helping Enterprises build AI-ready, delivery teams.

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Episodes

152

Latest episode

Aug 2026

Language

EN-US

About the show

Building the AI Enterprise - Hosted by Feroz Khan Drag & Drop explores how organizations are building in the AI era, where development platforms, intelligent automation, vibe coding, and enterprise governance collide. Each episode features candid conversations with platform leaders, developers, architects, founders, and enterprise executives shaping how software is designed, secured, and scaled in a world where AI is embedded everywhere. From low-code evolution to AI-native builders, from agentic workflows to production-ready platforms, this podcast goes beyond demos to focus on execution. If you care about where enterprise software is heading and how to build advantage, not just momentum, you’re in the right place.

Listen to episodes

60 recent
August 12, 2026Episode 1444 min

Most Government AI Agents Never Reach Production | Scott Ditch

Most organizations don’t have a shortage of AI pilots.The real challenge is getting them governed, connected, and into production.In this episode of Drag & Drop, Feroz Khan sits down with Scott Ditch, Principal Solutions Architect at OutSystems, to discuss what it will take for US government agencies to move beyond AI experimentation and create measurable value.Scott shares what he is seeing across the public sector, including why many AI agents remain trapped in a “never-ending proof-of-concept state” and how disconnected projects could create the next generation of technology silos.In this episode, you’ll learn:➤ Why trust remains one of the biggest barriers to government AI adoption➤ What prevents AI pilots from reaching production➤ Why agentic systems require a different development lifecycle➤ How agencies can govern an entire portfolio of AI systems➤ Why human accountability remains essential in high-stakes decisions➤ How AI can modernize decades-old government systems➤ How organizations can preserve institutional knowledge as experienced employees retire➤ How AI is changing the roles of developers, architects and technology teams➤ Why one agent or one AI model cannot solve every problem➤ How model selection and token costs affect enterprise AI architecture➤ How agencies can adapt when AI evolves faster than procurement cycles➤ Whether AI could eventually make traditional applications disappearTell us what you loved about this Episode.Website: itracusa.comContact: 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 AdvisoryAI creates momentum.Execution creates advantage.Whether you're scaling delivery or building your AI capability — we help you build it right.

July 8, 2026Episode 1341 min

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.Tell us what you loved about this Episode.Website: itracusa.comContact: 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 AdvisoryAI creates momentum.Execution creates advantage.Whether you're scaling delivery or building your AI capability — we help you build it right.

May 27, 2026Episode 1240 min

The Biggest Mistake Companies Make With AI Right Now | Hugo Fragoso

Enterprise AI is moving fast… but most companies still aren’t ready to operate it at scale.In this episode of Drag & Drop, Feroz Khan is joined by Hugo Fragoso, Director, Strategic Customers - EMEA at OutSystems, to discuss what enterprise leaders are getting wrong about AI adoption, governance, internal capability, and scaling delivery in an AI-driven world.As organizations rush to experiment with Agentic AI, copilots, and automation platforms, many are discovering that building something quickly is the easy part. The real challenge is creating the operating model, governance, and internal capability needed to run AI reliably inside the enterprise.Hugo shares insights from working directly with strategic enterprise customers across EMEA and explains why the companies succeeding with AI are thinking far beyond individual use cases.What you’ll learn in this episode:• Why the most successful enterprises are “building factories” instead of individual apps• The biggest mistake companies are making with AI strategy right now• Why platform governance matters more than choosing a single LLM• The danger of relying on “hero developers” inside enterprise teams• Why internal enablement is critical for long-term low-code and AI success• How enterprises should balance partners vs internal capability• The role architecture, governance, and operating models play in scaling AI• Why security and risk teams need to be involved from day one• What separates enterprises that scale from those that stall• Why governed AI will define the winners over the next few yearsThe conversation around AI is shifting.From simply generating outputs…to building systems that enterprises can actually trust, govern, scale, and operate long term.Tell us what you loved about this Episode.Website: itracusa.comContact: 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 AdvisoryAI creates momentum.Execution creates advantage.Whether you're scaling delivery or building your AI capability — we help you build it right.

May 13, 2026Episode 1125 min

Will AI Replace Developers? | Elyse Gilbert on AI, OutSystems & Low-Code

Will AI replace developers… or completely change what developers focus on?In this episode of Drag & Drop, Feroz Khan is joined by Elyse Gilbert to discuss her journey from music performance major to OutSystems developer, the evolution of low-code development, and how AI is rapidly reshaping the future of software delivery.As AI becomes more embedded into modern development platforms, the role of the developer is starting to shift away from repetitive manual work and toward architecture, user experience, business thinking, and human-centered design.Elyse shares her experience transitioning into tech without a traditional engineering background, learning OutSystems under pressure, and why mindset and adaptability are becoming more important than ever in the AI era.What you’ll learn in this episode:• How Elyse transitioned from music performance into software development• The challenges of learning OutSystems and low-code development• Why mindset plays a major role in succeeding in tech• How AI is changing the day-to-day role of developers• Why development is shifting from manual work to higher-level thinking• The growing importance of user experience and human behavior in software• How AI is improving requirements gathering and development workflows• Why developers who ignore AI risk falling behind• The importance of community, continuous learning, and adaptabilityThe developer role isn’t disappearing.But it is evolving faster than ever.And the developers who learn how to work alongside AI - rather than compete against it - will have a massive advantage over the next few years.Tell us what you loved about this Episode.Website: itracusa.comContact: 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 AdvisoryAI creates momentum.Execution creates advantage.Whether you're scaling delivery or building your AI capability — we help you build it right.

May 6, 2026Episode 1033 min

AI Made Development Fast… So Why Doesn’t Speed Matter Anymore?

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.comContact: 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 AdvisoryAI creates momentum.Execution creates advantage.Whether you're scaling delivery or building your AI capability — we help you build it right.

April 29, 2026Episode 940 min

They laughed at Low-Code…Now AI Is writing their Code | Lotte Kuiper

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 designThe 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.comContact: 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 AdvisoryAI creates momentum.Execution creates advantage.Whether you're scaling delivery or building your AI capability — we help you build it right.

April 22, 2026Episode 840 min

You’re Solving the Wrong Problem in Enterprise AI | Ingo Paas

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.comContact: 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 AdvisoryAI creates momentum.Execution creates advantage.Whether you're scaling delivery or building your AI capability — we help you build it right.

April 15, 2026Episode 737 min

How AI Really Works in Low-Code | With Mendix MVP Neel Desai

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 themThe conversation is shifting.From building applications faster…to building systems you can actually trust.Tell us what you loved about this Episode.Website: itracusa.comContact: 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 AdvisoryAI creates momentum.Execution creates advantage.Whether you're scaling delivery or building your AI capability — we help you build it right.

April 8, 2026Episode 642 min

The Future of Developers in the AI Era: Why Community Matters | OutSystems CMO, Kris Lande

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.comContact: 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 AdvisoryAI creates momentum.Execution creates advantage.Whether you're scaling delivery or building your AI capability — we help you build it right.

April 1, 2026Episode 543 min

Fix Your Data First: Why Most AI Projects Fail in the Enterprise | Eleni Kelly

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 autonomousIf 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.comContact: 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 AdvisoryAI creates momentum.Execution creates advantage.Whether you're scaling delivery or building your AI capability — we help you build it right.

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