Drag & Drop

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

  1. 1 天前

    Why AI-Generated Code Isn’t Making Software Delivery Faster | Martin Reynolds, Harness

    AI coding tools are generating more code than ever, but enterprise engineering teams are not necessarily delivering software faster. In this episode of Drag & Drop, Feroz Khan sits down with Martin Reynolds, Field CTO at Harness, to explore the AI velocity paradox and what it means for software delivery, DevOps, AgentOps, platform engineering, and AI agents in production. Martin explains why building an AI agent can be relatively easy, but deploying one safely requires a completely different level of governance, identity, testing, observability and accountability. The conversation explores why code is no longer the main bottleneck, why traditional delivery processes are struggling to keep pace with AI-generated output and what engineering organizations need to operate increasingly autonomous systems safely at scale. In this episode, you’ll learn: ➤ Why faster code generation isn’t producing faster software delivery ➤ What prevents AI agents from reaching production ➤ Why choosing the right AI model is only a small part of the challenge ➤ Why governance and guardrails cannot be added afterwards ➤ How AgentOps extends DevOps from code changes to autonomous decisions ➤ When deterministic automation is better than AI ➤ Why AI agents need identities, permissions and escalation paths ➤ How observability prevents autonomous systems from becoming dangerous black boxes ➤ What engineering teams need to operate AI safely at scale ➤ How Harness approaches everything that happens after code 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.

  2. 8月19日

    How to Build an AI Career Before the Job Exists | Lazar Jovanovic, Lovable

    AI is lowering the barrier to building software. But it is not lowering the bar for initiative, judgment, or solving real problems. In this episode of Drag & Drop, Feroz Khan sits down with Lazar Jovanovic, the first Vibe Coding Engineer at Lovable, to discuss how he went from a non-technical background to building software at one of the fastest-growing AI companies globally. Lazar shares how building in public, learning by doing, and solving real problems helped him create an opportunity before the role even existed. They also explore how AI is changing who can build software, why generalists have an advantage, and what enterprises need to do to enable more employee-led innovation without creating a new generation of application silos. In this episode, you’ll learn: ➤ How Lazar became Lovable’s first Vibe Coding Engineer ➤ Why generalists have an AI advantage ➤ How building in public creates opportunity ➤ Why “vibe coding” has moved beyond prototypes ➤ How AI is changing the build versus buy decision ➤ How a $1 million tool can be built for less than $5,000 ➤ Why people closest to the problem can now build the solution ➤ How enterprises can prevent AI sprawl ➤ Where to start if you want to build an AI role inside your organization ➤ Why good judgment will matter more than raw effort 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.

  3. 8月12日

    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 disappear 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.

  4. 7月8日

    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.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.

  5. 5月27日

    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 years The 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.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.

  6. 5月13日

    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 adaptability The 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.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.

  7. 5月6日

    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.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.

  8. 4月29日

    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 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.

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簡介

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.

資訊

  • 創作者
    ITRAC – Helping Enterprises build AI-ready, delivery teams.
  • 活躍年代
    2020年 - 2026年
  • 集數
    154
  • 年齡分級
    兒少適宜
  • 版權
    © 2026 Drag & Drop
  • 節目網站
    Drag & Drop