Drag & Drop

Why do so many enterprise AI initiatives stall? In this episode of Drag & Drop, I sit down with Tony Meyer, sales leader at Siemens, to talk about what actually works when it comes to enterprise AI adoption, AI governance, agentic AI and low-code.

Tony has spent 12 years selling the Mendix platform, eight of them with Siemens, and today leads a team serving aerospace, defense and transportation, some of the most regulated industries in the world. He shares what he's seeing from enterprise leaders on the ground: why buying a Copilot license doesn't make you AI-ready, why AI failures are often data failures, and why governance can't be an afterthought.

In this episode:
- Why the "boring" AI use cases deliver the most value
- How to balance AI innovation with governance, security and compliance
- Build vs. buy: just because you can build it doesn't mean you should
- How to avoid the next generation of technical debt
- AI agents and humans as one workforce
- Why people and change management are the biggest obstacle to AI at scale
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 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.