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Bring the entry above that sounded most familiar. We start there.
Guide
A practical, ranked list of the repetitive work that most often pays back first — and the observable signal that tells you each one is ready.
The short answer
Last reviewed 2026-08-09. Written by the CanAutomate team in London, Ontario.
Reading every incoming email, form and voicemail to work out what it is and who should handle it, before any actual work can start.
Retyping supplier invoices into accounting, then matching them by hand against what was actually ordered and received.
Chasing outstanding quotes on day three, day seven and day fourteen, which currently depends on whoever sent it remembering to.
The fourteen-step checklist that gets followed correctly when the person doing it remembers every step, and incorrectly when they do not.
Getting a request in front of the right approver with the information they need, then finding out what they decided.
A booking, order or customer being typed into a second and third system because those systems do not talk to each other.
The weekly or monthly numbers that already exist in three systems and take an afternoon to assemble into something anyone can act on.
Reading customer-completed forms and turning them into structured records, including the ones that arrive incomplete or contradictory.
Answering the same handful of questions from scratch each time, because the answer lives in someone's head rather than anywhere reusable.
Certificates, licences, contracts and insurance documents whose renewal dates live in a spreadsheet somebody has to remember to open.
Someone senior spending part of every week asking colleagues for updates that a system already knows.
Job sheets and timesheets completed away from a desk, then rekeyed by someone in the office days later.
Automating a step that should be deleted makes a bad process run faster and much harder to change later. Ask what happens if the step is simply removed. Sometimes the honest answer is nothing.
Frequency matters less than consistency. Something happening five times a week in the same shape is a far better candidate than something happening fifty times a week in fifty different shapes.
Hours a week, error rate, or elapsed time from request to done. If you cannot say which one should move, the automation is not ready to be scoped — and neither is the quote.
19.2%
Of Canadian businesses reported using AI to produce goods or deliver services in the 12 months to Q2 2026, roughly triple the 6.1% reported in Q2 2024.
34.5%
Text analytics — reading and interpreting written material — was the second most common AI use among Canadian businesses that had adopted it, ahead of chatbots at 28.2%.
Most of the twelve workflows above are text-analytics problems wearing operational clothing: reading a request, reading a document, working out what a thing is and where it should go. That is a large part of why they pay back sooner than the customer-facing chatbot that usually gets proposed first.
Bring the entry above that sounded most familiar. We start there.
The companion guide: nine patterns, five of them settled before anything is built.
The four groupings these twelve workflows fall into.
That is normal, and it is exactly what a workflow audit is for — working out which one to do first.
Book a workflow audit