Count how many places one customer's details live
A customer moves office and the invoice still goes to the old address. A ten-minute count shows why, and which copy your AI tools are reading.
Insights
Notes from running our own companies.
What we learn putting sales follow-up, back office systems and AI to work, first in our own businesses and then in our clients'.
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Readers mark down anything that sounds machine-written
Customers trust copy less once they suspect AI wrote it, even when a person did. Generic output now has a sales cost. What helps, and what does not.
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Why your quotes take a week to leave the building
The quote itself takes an hour to prepare. The other six days are waiting. Where quotes sit, and how written approval limits get them out faster.
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Every enquiry got an answer. None of them got recorded.
Our AI assistant replied to every new enquiry on our messaging line and saved none of them where we could see. What went wrong, and what to test on yours.
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The weekly report nobody reads, and the one nobody trusts
Reports pile up because each was asked for once. AI makes them cheaper to produce and easier to ignore. A short register decides which ones earn a place.
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Buy the tool after you can draw the process on one page
A new CRM or AI assistant will copy whatever process you already have, including the gaps. Draw the process first. It costs a page and an afternoon.
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The follow-up everyone thought someone else had sent
A quote goes out, the client goes quiet, and two weeks later they sign elsewhere. Why follow-ups fall between people, and a simple way to own them.
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Your team feels faster with AI. Has anyone timed it?
In a 2025 trial, experienced developers were 19% slower with AI while believing they were faster. Why the feeling and the clock disagree.
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Five places money slips between the quote and the invoice
The job was done, the customer was happy, and the invoice still came up short. Where service firms lose money they already earned, and how to stop it.
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Write the onboarding pack once, for new hires and your AI
What a new hire needs in week one is almost exactly what an AI tool needs before every task. One document can do both jobs.
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We audited our own systems. The how-to lived in people's heads.
An internal audit this week found the same habit across every live system we run. It is the habit most owner-run firms have too.
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We already tried that: keeping lessons where AI can read them
Teams and AI tools both repeat failed experiments when lessons live in memory instead of on paper. How a short learnings log changes that.