Not because something can’t be done a certain way, and not because I refuse to do it, but because there’s often a smarter way to use the right people for the right parts of a task.
Recently, someone asked if I could go through a collection of case studies, pull out the important information, and turn them into reference documents.
Technically, yes — I could absolutely do that.
But after thinking about it, I realised the real value wasn’t in formatting the information into a polished document. The real value was in understanding the subject matter well enough to recognise what was actually important in the first place.
That kind of insight usually comes from experience, sector knowledge, and context — things that are difficult to replace.
So instead, I suggested a different process.
Rather than sending me the case studies to interpret myself, I asked them to read through the documents and record quick voice notes with the key takeaways, standout details, and important insights.
From there, I could take those voice notes and transform them into structured, searchable reference documents that were clear, organised, and easy to use going forward.
Same outcome.
Better use of everyone’s strengths.
I think a lot of effective systems come from asking a simple question:
“Who should actually be doing which part of this?”
Sometimes the answer isn’t about outsourcing everything. Sometimes it’s about keeping the expertise where it belongs and streamlining the parts that slow people down.
That’s often where the best support sits — not replacing knowledge, but helping organise, structure, and maximise it.
And yes, AI could probably help with parts of this process too.
But AI still has limitations. It can embellish facts, misinterpret context, shift tone, or introduce details that weren’t there originally. In situations where accuracy, nuance, and professional judgement matter, you still need a human reviewing what’s being created.
By the time you’ve checked and corrected heavily AI-generated content, you could often have done it properly in the first place.
AI absolutely has its place, and used well, it can save huge amounts of time.
But the real value will continue to come from the people who understand the context, apply the judgement, and know what actually matters.
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