AI in Practice – Automating the First Layer of Customer Contact
A technical lead working with a specialised UK eye clinic explains how they moved from a sticky-note reception...
Read moreNo theory. No hype. Just what’s actually working in mid-market AI adoption and what isn’t.
Sits alongside our broader Practical AI Insights library.
Every article is grounded in real operator experience: the workflows that delivered ROI, the projects that stalled, and the lessons that only come from doing the work. For the data behind the same audience, see our Research Reports. For step-by-step implementation guides, see the Playbooks.
We interview the leaders who are shipping AI in their businesses and dissect their results so you can learn from their wins and avoid their mistakes. Watch the full video interviews.
A technical lead working with a specialised UK eye clinic explains how they moved from a sticky-note reception...
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Your AI strategy has stalled - not because of the technology, but because of the people expected to make it...
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Why AI systems fail when they trust user labels A mid-market construction firm with £79m turnover and 297...
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A mid-market marketing agency built a single agent to research target companies for outbound campaigns. On its...
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A Deal You Only Get One Shot At A UK logistics firm lost a £50,000 ARR deal after a polite but unsuccessful...
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The Hidden Editing Tax A mid-market brand used an agent to generate 500 product descriptions, finishing the...
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A Christmas Surprise During a December retention review, a mid-market IT provider found a problem hiding in...
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A 500 employee SaaS company built an agent to handle refund requests and in the demo, it looked great checking...
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As few as two or three of these sources per account gave a clearer picture of what each business was trying to...
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