Most AI initiatives don't fail because of bad technology. They fail because of decisions made too early, with too little structure, and too much faith in the hype.

AI Unfiltered is a 2.5-hour in-person working session where Bhumi (Strategic AI Advisor) and iTelasoft (Technical Delivery Partner) cut through the noise to share what actually determines whether AI projects succeed or fail — and then help you apply it to your own organisation in real time.

This is not a panel. It is not a seminar. It is a strictly limited, high-touch workshop designed for leaders who are responsible for making AI work in practice.

What you'll work through:

In Module 1, you'll learn the implementation fundamentals that separate projects that deliver from those that drain budgets — covering the success pillars and the red flags that quietly sink initiatives before they gain traction.

In Module 2, you'll work through candid case studies from the Telco, Health, and FMCG sectors — the failures, the pivots, and the specific decisions that changed outcomes.

In Module 3, the Strategy Clinic, you'll bring a real AI challenge from your organisation and work through it live in small groups, with our facilitators rotating in to pressure-test your thinking and help you identify a concrete path forward.

You leave with:

A practical understanding of the implementation fundamentals that determine whether AI projects succeed or fail
Real-world lessons from Telco, Health, and FMCG projects you can apply directly to your own context
A concrete next step for the specific AI challenge you bring to the room

This workshop is for Business Owners, IT Managers, Strategy and Planning Leads, and Change Managers who are ready to move AI from a boardroom concept to a functional reality.

Important: All participants are required to arrive with a specific AI challenge, use case, or initiative from their organisation. This is what makes the Strategy Clinic possible.

Stop talking about AI. Start implementing it.

Contact the host of AI Masterclass in Real-World Implementation

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