AI Strategy
Most AI discussions start with:
“Where can we use AI?”
The better question is:
“Where can we sustain it?”
I’ve seen multiple AI initiatives fail — not because the model didn’t work, but because:
A feasibility study should answer:
In one scenario, a promising use case was dropped — not because it lacked value, but because the data pipeline required to support it didn’t exist.
That’s the reality.
AI should be evaluated against your environment — not just your ideas.
Evaluating whether AI fits your current platform and data reality?
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