Work gets logged and passed on as it lands.
Emails, forms and attachments reach the right person on their own, instead of sitting in an inbox until somebody notices them.
If everything still waits on a few key people, or your team spends the week chasing and doing admin, the problem is in the workflows. Use AI to take the repeat work out of the path from enquiry to job, paperwork, report and invoice, and the business stops leaning on a handful of key people. This page covers which workflows are usually worth it and how a build is scoped. If you’re choosing who does the work, read how to judge an AI automation partner.
Not sure yet? Prove the return first with a Feasibility Study
Someone copying details out of an email, renaming a file, chasing a missing document, or building the weekly report from three places. Here’s what changes when that stops.
Emails, forms and attachments reach the right person on their own, instead of sitting in an inbox until somebody notices them.
Routine work gets passed on by itself. The decision stays with the person responsible for it.
Reports and trackers get built from the original records, so your team checks them rather than putting them together every week.
You don’t have to tear up how the whole company works. One job gets picked, with a clear owner and a sum that says it’s worth fixing.
These are common places to start, not a menu. What comes first depends on what it’s costing you, the state of the information and what your team will actually use.
Take the workflow that eats the most hours: hours a week, times what they cost, times the weeks in a year. That’s the number a fix has to beat. Your AI Self-Assessment names three, with the sum behind each and where to start. If the work already moves without anyone chasing it, leave it be.
The job to look for is where the money, the repetition, the information and your team’s appetite all line up, with little risk if it goes wrong. The first one should prove it works without dragging the whole business into a long project.
It can flag and route exceptions, but it should not pretend every situation is routine. Good workflow design defines where the system stops and who decides what happens next.
That’s normal. The messy version gets mapped first, because that’s the one the business actually runs. Nothing gets automated until the handovers are clear.
The measure is agreed before the build, from your own records: hours spent, time to turn it round, or the cost of getting it wrong. A measure agreed afterwards isn’t a measure.
The first step is a short questionnaire and one conversation. After that it takes one person who knows the work, not the whole team. And it starts with the job that eats the most hours, so the first thing you get back is time.