Provect insights
Writing on AI, automation and data.
Notes from the people who build these systems, for the people who run the business.
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18 insights
A sensible first automation for ten people
The best first automation for a small team is often the front door to its work, not the most complex task inside it.
RAG in small business workflows
Choose a useful retrieval task, limit its access and measure whether checking the answers takes less work than searching yourself.
Healthcare AI that works with your team
AI in healthcare works best when it supports existing processes and keeps a person in control.
Budget automation projects with clear pricing
Scope the first release, separate running costs and agree how changes will be priced.
Digital transformation starts smaller than you think
Digital transformation is usually a series of small, practical changes, not one big switch.
Integrating RAG with business software securely
Retrieval needs the same access boundaries as your source systems, plus checks for outdated and unsupported answers.
When automation creates more work than it removes
Automation can add new tasks rather than cut workload. Here’s why and what to watch for.
The ethical side of agentic AI
Review patterns across automated decisions, not just individual outcomes, and give affected people a route to challenge them.
RAG isn't the model, it's the search
The easy part is generating a fluent answer. The part that matters is what an agent does when the search comes back thin.
Scaling AI automation starts smaller than you think
Scale is a result, not a starting point. The starting point is the job someone's already bored of.
What good onboarding paperwork looks like in 2026
Most onboarding packs still ask the new starter for work the business already has the answer to. Here is what to do instead.
Nobody holding it together by hand.
A founder note on the work that keeps a business running, and the person doing it.
Five repetitive jobs worth automating first
The best first automation is usually something small that someone on your team already hates doing.
What AI agents actually do, and where they fit
How to tell a genuinely capable system from an impressive-looking flow chart.
Your CRM shouldn’t be where leads go to die
A CRM earns its licence fee when it pushes the next action forward, not when it stores things neatly.
Keep a person in the loop. On purpose.
Human oversight isn’t a compromise you make on an AI workflow. It’s usually the thing that makes it safe to use at all.
How to tell whether an automation actually paid off
The convincing number isn’t a percentage in a slide. It’s a before, an after, and something your team can feel.
Where to start with AI when you run a small business
Start with the process, not the platform. The right first project is already somewhere in your week.
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