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.

Who governs AI agents inside enterprise systems?

In this episode of Drag & Drop, Feroz Khan speaks with Gonçalo Borrêga, VP Product, AI & AppDev at OutSystems, about one of the biggest questions emerging in enterprise technology today.

As AI moves beyond chatbots into agentic systems that can write code, make decisions, and act across enterprise applications, organizations are facing new governance, security, and architectural challenges.

This conversation explores what happens when AI moves from experimentation into mission-critical production environments.

Topics we cover include:

• Why agentic AI changes how enterprises think about governance
• The emerging risks of prompt injection and uncontrolled AI agents
• Why traditional IT governance models break down with AI
• How AI is changing the role of developers from coders to system architects
• Whether AI will lead to the “death of SaaS”
• Why enterprise application platforms must evolve to support AI-driven development

Gonçalo shares insights from working closely with organizations adopting AI inside enterprise application platforms and mission-critical systems, and explains why the biggest challenge ahead isn’t building AI - it’s governing it 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 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.