NeWTHISTle Consulting
42% of Companies Scrap Most of Their AI Initiatives
I've sat in the CEO seat. I help PE owners and portfolio leadership make the AI adoption decision deliberately, price the dependency before it's accepted, and build so a vendor problem can't take the business down with it.
62%
PE respondents unable to link productivity gains to AI
EY
42%
Up from 17%. Companies scrapping most AI initiatives before production
S&P Global - 2025 Survey
80%+
AI projects that fail
RAND
The Exit Narrative
At exit, every serious buyer asks three questions
Is AI Being Used?
Full transparency of intelligence integration across the value chain.
Is it Working?
Validated efficiency metrics and measurable margin expansion data.
What is it Worth?
Valuation anchored in defensible, proprietary intelligence workflows.
An AI native business answers these with evidence, not intentions. Your intelligence asset becomes quantifiable, your cost structure improvement becomes auditable, and your compounding lead becomes a structural differentiator.
A CLEARER APPROACH TO A COMPLEX REALITY
Deterministic by default.
AI by advantage.
Resilience by design.
Every use of AI buys a capability and creates a dependency on a model, a provider, and infrastructure the business doesn't control. The scarce skill right now isn't AI fluency. It's judgement: knowing where that trade is worth making, and building so the dependency can fail without the company failing with it.
This isn't an argument against AI. The businesses that win the next decade will use it aggressively. It's an argument against adopting it by default instead of by decision.
01
Position
Before any plan is made, you need an honest picture of where you stand and a clear view of where you are going. A diagnostic of your AI maturity, a map of the gap, and the strategic case for why the journey starts now.
02
Align
Conviction at the top is not enough. This step prepares the extended leadership team, aligns mental models across functions, and addresses the conditions that determine whether adoption takes hold or stalls. The step most programmes skip.
03
Create
A governed, structured approach to AI adoption that connects directly to value creation. Not a pilot programme looking for a use case — a designed system with clear ownership, decision rights, and a direct line to the metrics that matter at exit.
04
Evolve
The intelligence asset compounds over time, but only if someone is actively managing it. This step establishes the measurement framework, adapts the operating model, and turns adoption activity into a story that holds up at exit.
MY BOOKS

Strategy & Value Creation

A simple yet powerful process
ReSCUED - A Value Creation Framework
Break through growth barriers and create lasting value with proven strategies that deliver measurable results



