Fix Your Data First: Why Most AI Projects Fail in the Enterprise | Eleni Kelly

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 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.