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Your AI Pilot Succeeded. Your Rollout Is Failing. Here's Why.

An AI pilot delivers strong results. A year later, adoption is at 31% of target and the savings haven't materialized. This isn't a technology failure — it's an adoption failure, and it was visible from month one.

54%
Underdeliver
vs. projected value
31%
Of Target
typical adoption
47%
Overstated
value when measured by access
2.3×
Adoption Lift
with manager buy-in
50–70%
ROI Overstated
from step-function models
P
PraveenStrategy · 8 min · Part 1 of 3
8 min readPart 1 of 3 · The AI ROI Series

The pattern is now common enough to name. An AI pilot delivers strong results. Leadership approves scale. A year later, adoption is at 31% of target, the savings haven't materialized, and the CFO is asking uncomfortable questions.

This is not a technology failure. The model works. The vendor isn't the problem.

It is an adoption failure. And in most cases, it was visible from the first month of the pilot — if anyone had known where to look.

54%
of AI models that reach production deliver less than half the projected business value
Source: McKinsey & Company, The State of AI in 2023 1

Making it into production is not the same as delivering value. An AI tool used by 18% of the target population at one-third of the projected frequency delivers roughly 6% of the modelled ROI — while consuming 80–90% of the implementation cost.

The real measure is not deployment. It is value realization. And on that measure, most enterprise AI rollouts underperform significantly.