Many AI projects fail—not because the models aren’t impressive, but because teams focus on technology alone. In Part 4, we flip that script. You’ll learn to look beyond the tools to the real work: identifying the right AI opportunities, prioritising them in a structured way, and applying implementation guidelines that truly stick.
We’ll walk through a practical, step-by-step approach so AI truly becomes part of your day-to-day operations - not a side experiment.
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