From AI Experimentation to Controlled Adoption: Closing the 80% Gap
Across industries, the conversation around AI has moved on. The question is no longer which tool to buy or which vendor to choose. Many organisations have already taken that step.
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We’re guessing it wasn’t a big deal to get Microsoft Copilot approved for your company.
The business case was probably straight forward. Leadership had already made up their mind. Licences came, rollout felt simple.
But then … not much happened.
Are we right?
Of course – some teams picked it up straight away. Some used it once or twice, but didn’t see much difference, and quietly went back to how they worked before.
Others ignored it completely.
It’s when usage reports land that things start to feel awkward.
“Er, are we getting value from this?”
“Why aren’t more people using it?”
The reality is that buying new tools is never the hard part. It’s embedding them into real, everyday work that is.
Most organisations underestimate this problem hugely.
Copilot is powerful, with potential to make life easier in specific and measurable ways. But if no-one defines where it actually fits then you end up with a patch work of behaviours, such as …
Left unresolved, this creates a slow but familiar pattern. Interest fades. Adoption stalls. The narrative quietly shifts from
“Wow, this will be transformational”
to
“Hmm, maybe this isn’t for us”.
And that’s the big risk. Not that the technology doesn’t work — it does. But that your organisation never gets to find out what it’s capable of.
The good news is, solving this is much simpler than you might think.
It usually takes just one small, credible ‘win’ to help people see how Copilot fits into their real work.Something repeatable and low-risk, such as turning meeting notes into structured actions – and you can build from there.
Get the first step right, and AI adoption stops being abstract and starts becoming something your team can confidently embrace.
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