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What happens when AI moves beyond experimentation and becomes part of how a business actually operates? In this episode of Drag & Drop, Feroz Khan sits down with Ricky Rodriguez, Senior Director of Business Operations and Systems at Butler Plus, to explore how the company is using OutSystems and AI to transform a large-scale service-based business. Butler Plus operates across more than 1,200 communities in 34 states, with around 1,300 butlers carrying out services in the field. At one point, the business was manually reviewing thousands of images every night to understand how those services had been delivered. Today, Butler Plus is using OutSystems and AI to score field services, analyse images, surface insights faster and bring areas including scheduling, payroll and client success together in one platform. As Ricky explains, OutSystems has evolved from a development tool into their operating system. The conversation also explores where AI actually delivers business value, why companies should challenge existing processes before automating them, how Butler Plus is exploring agentic AI, and why understanding human behaviour can sometimes be more important than understanding the technology itself. Ricky also shares his perspective on OutSystems Mentor, AI-assisted development and how teams could increase development speed without introducing unnecessary risk. In this episode, you’ll learn: ➤ Why 48 hours can be the difference between explaining a problem and preventing one ➤ How Butler Plus decides which processes are worth applying AI to ➤ Why knowing what “good” looks like matters before putting AI into production ➤ How AI can help turn field-service data into actionable insights ➤ Why automating an existing process isn’t always the right answer ➤ How agentic AI could streamline the journey from proposal to contract and service delivery ➤ What Ricky has learned from building and scaling with OutSystems ➤ Why OutSystems Mentor could unlock more speed without simply generating more code ➤ Why understanding people may be just as important as understanding the technology Tell us what you loved about this Episode. Website: itracusa.com Contact: Feroz Khan 🎙️ This episode is brought to you by ITRAC. ITRAC helps organizations build Enterprise AI capability. We support enterprise teams through: • Specialist AI & OutSystems Talent • Enterprise AI Training & Enablement • OutSystems Training & Solutions • Enterprise AI Community From developing your existing teams to finding specialist talent, ITRAC helps organizations build the skills and capability needed to adopt AI effectively. ITRAC | Building Enterprise AI capability through talent, training and community.

AI is changing what it means to be a software developer. But what happens when developers no longer need to check everything AI creates? In this episode of Drag & Drop, Feroz Khan sits down with Owen Corstens from Harmony Group to explore how AI agents are changing software development, enterprise architecture, AI governance, OutSystems, and the role of the developer. Owen shares why developers may shift from creating software to owning outcomes, why enterprises need a clearer view of AI ROI, and why technical professionals need to think beyond a single platform.   Owen also shares his unconventional route into technology without a university degree and why he believes hands-on learning, determination and continuous upskilling can be just as important as traditional credentials.  In this episode, you’ll learn: ➤ Will AI replace developers or change what they do?  ➤ Why developers may shift from creating to owning outcomes  ➤ Why AI ROI is still unclear for many enterprises  ➤ Why some companies move too fast while others get stuck in POCs  ➤ How AI governance changes with agents  ➤ Where enterprises should build and orchestrate AI agents  ➤ Why developers need skills beyond a single platform  ➤ How Owen built a successful technology career without a degree Tell us what you loved about this Episode. Website: itracusa.com Contact: Feroz Khan 🎙️ This episode is brought to you by ITRAC. ITRAC helps organizations build Enterprise AI capability. We support enterprise teams through: • Specialist AI & OutSystems Talent • Enterprise AI Training & Enablement • OutSystems Training & Solutions • Enterprise AI Community From developing your existing teams to finding specialist talent, ITRAC helps organizations build the skills and capability needed to adopt AI effectively. ITRAC | Building Enterprise AI capability through talent, training and community.

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 helps organizations build Enterprise AI capability. We support enterprise teams through: • Specialist AI & OutSystems Talent • Enterprise AI Training & Enablement • OutSystems Training & Solutions • Enterprise AI Community From developing your existing teams to finding specialist talent, ITRAC helps organizations build the skills and capability needed to adopt AI effectively. ITRAC | Building Enterprise AI capability through talent, training and community.

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 helps organizations build Enterprise AI capability. We support enterprise teams through: • Specialist AI & OutSystems Talent • Enterprise AI Training & Enablement • OutSystems Training & Solutions • Enterprise AI Community From developing your existing teams to finding specialist talent, ITRAC helps organizations build the skills and capability needed to adopt AI effectively. ITRAC | Building Enterprise AI capability through talent, training and community.

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 helps organizations build Enterprise AI capability. We support enterprise teams through: • Specialist AI & OutSystems Talent • Enterprise AI Training & Enablement • OutSystems Training & Solutions • Enterprise AI Community From developing your existing teams to finding specialist talent, ITRAC helps organizations build the skills and capability needed to adopt AI effectively. ITRAC | Building Enterprise AI capability through talent, training and community.

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 helps organizations build Enterprise AI capability. We support enterprise teams through: • Specialist AI & OutSystems Talent • Enterprise AI Training & Enablement • OutSystems Training & Solutions • Enterprise AI Community From developing your existing teams to finding specialist talent, ITRAC helps organizations build the skills and capability needed to adopt AI effectively. ITRAC | Building Enterprise AI capability through talent, training and community.

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 helps organizations build Enterprise AI capability. We support enterprise teams through: • Specialist AI & OutSystems Talent • Enterprise AI Training & Enablement • OutSystems Training & Solutions • Enterprise AI Community From developing your existing teams to finding specialist talent, ITRAC helps organizations build the skills and capability needed to adopt AI effectively. ITRAC | Building Enterprise AI capability through talent, training and community.

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 helps organizations build Enterprise AI capability. We support enterprise teams through: • Specialist AI & OutSystems Talent • Enterprise AI Training & Enablement • OutSystems Training & Solutions • Enterprise AI Community From developing your existing teams to finding specialist talent, ITRAC helps organizations build the skills and capability needed to adopt AI effectively. ITRAC | Building Enterprise AI capability through talent, training and community.

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 helps organizations build Enterprise AI capability. We support enterprise teams through: • Specialist AI & OutSystems Talent • Enterprise AI Training & Enablement • OutSystems Training & Solutions • Enterprise AI Community From developing your existing teams to finding specialist talent, ITRAC helps organizations build the skills and capability needed to adopt AI effectively. ITRAC | Building Enterprise AI capability through talent, training and community.

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 helps organizations build Enterprise AI capability. We support enterprise teams through: • Specialist AI & OutSystems Talent • Enterprise AI Training & Enablement • OutSystems Training & Solutions • Enterprise AI Community From developing your existing teams to finding specialist talent, ITRAC helps organizations build the skills and capability needed to adopt AI effectively. ITRAC | Building Enterprise AI capability through talent, training and community.

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 helps organizations build Enterprise AI capability. We support enterprise teams through: • Specialist AI & OutSystems Talent • Enterprise AI Training & Enablement • OutSystems Training & Solutions • Enterprise AI Community From developing your existing teams to finding specialist talent, ITRAC helps organizations build the skills and capability needed to adopt AI effectively. ITRAC | Building Enterprise AI capability through talent, training and community.

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 helps organizations build Enterprise AI capability. We support enterprise teams through: • Specialist AI & OutSystems Talent • Enterprise AI Training & Enablement • OutSystems Training & Solutions • Enterprise AI Community From developing your existing teams to finding specialist talent, ITRAC helps organizations build the skills and capability needed to adopt AI effectively. ITRAC | Building Enterprise AI capability through talent, training and community.

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 helps organizations build Enterprise AI capability. We support enterprise teams through: • Specialist AI & OutSystems Talent • Enterprise AI Training & Enablement • OutSystems Training & Solutions • Enterprise AI Community From developing your existing teams to finding specialist talent, ITRAC helps organizations build the skills and capability needed to adopt AI effectively. ITRAC | Building Enterprise AI capability through talent, training and community.

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 helps organizations build Enterprise AI capability. We support enterprise teams through: • Specialist AI & OutSystems Talent • Enterprise AI Training & Enablement • OutSystems Training & Solutions • Enterprise AI Community From developing your existing teams to finding specialist talent, ITRAC helps organizations build the skills and capability needed to adopt AI effectively. ITRAC | Building Enterprise AI capability through talent, training and community.

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 helps organizations build Enterprise AI capability. We support enterprise teams through: • Specialist AI & OutSystems Talent • Enterprise AI Training & Enablement • OutSystems Training & Solutions • Enterprise AI Community From developing your existing teams to finding specialist talent, ITRAC helps organizations build the skills and capability needed to adopt AI effectively. ITRAC | Building Enterprise AI capability through talent, training and community.