70% of Projects Fail. AI Might Make That Worse.

Not better. Worse.

Because when the stakes are high and the tech is shiny, we rush.
We overestimate the readiness of our data, our people, our processes.
And we mistake “using AI” for “getting value from AI.”

Sound familiar?

It’s not that AI can’t deliver. It’s that we don’t stop to ask: deliver what, exactly?

One client I spoke to had three teams trialling different AI tools.
One was trying to summarise documents. Another was automating workflows. The third was building their own GPT.

The problem?
No shared goal. No plan to scale.
And no idea what good looked like.

Lots of motion. No traction.

Here’s what’s missing from most AI strategies:

1. A clearly defined problem worth solving

2. A quantifiable outcome to aim for

3. A rough ROI model to guide decisions

4. A way to measure what’s working (and stop what isn’t)

5. A team that’s aligned on what success actually means

This isn’t complicated. But it is deliberate.
And most people skip it — then act surprised when it all unravels.

If you're serious about using AI, start here:

📊 Take the ROI Readiness Assessment — it’s fast, free, and gives you a tailored breakdown of where you’re strong, where you’re exposed, and where the value really sits.

You’ll get more clarity in 3 minutes than most AI “strategies” deliver in 6 months.