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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.
By ITRAC – Helping Enterprises build AI-ready, self-sufficient Low-Code teams.5
33 ratings
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.