12 workflows worth automating first
The companion guide: what to automate, once you know how it goes wrong.
Guide
Nine recurring patterns, the warning sign for each, and what to do instead. Most of them are decided long before anything is built.
The short answer
Last reviewed 2026-08-09. Written by the CanAutomate team in London, Ontario.
Decided before anyone writes a line of scope. The cheapest to fix and the most expensive to miss.
A step is automated because it exists, not because it is needed — often one that was introduced to work around a problem that has since been fixed.
The build follows the process document, and the process document describes how the work was supposed to happen two years ago.
Decided on paper. Still cheap to change here, and almost never revisited later.
The automation handles the clean case beautifully and has no defined behaviour for anything else, so the first unusual input dumps everything back on a person.
A language model is used for a decision that is fully specifiable, which makes the outcome non-identical between runs and impossible to explain afterwards.
Nobody decided in advance what should move, so when the budget conversation comes round there is no way to argue the automation earned its place.
Decided by how the first version is delivered.
The build stalls for weeks on credentials, permissions or a vendor's approval process, and the delay is attributed to the automation being difficult.
A proof of concept is scoped so narrowly that it proves nothing extensible, and rebuilding it properly costs more than starting again would have.
Decided by what happens on the day it ships, and by who is left holding it.
The automation stops and nobody notices for weeks, because working and not working look identical from the outside until a customer points it out.
The automation works on the day it ships and degrades from there, because keeping it working is nobody's job and changing it needs a person who has moved on.
Almost none of these are engineering problems. Choosing the wrong process, describing it from a document, designing only the good case, and leaving nobody responsible afterwards are all decisions, and all of them are cheap to reverse right up until the moment something is built on top of them. The technology is rarely the constraint. The most common expensive mistake is a well-built automation of work that should not have been automated.
13.4%
Cybersecurity or privacy concerns were the barrier Canadian businesses most often reported as limiting their use of AI, ahead of cost at 10.6%. Both are design questions before they are technical ones.
What happens if we delete this step instead of automating it?
What does the system do when it is not sure, and who hears about it?
Which number should move, and what is it today?
Who changes a business rule inside this in six months?
A workflow audit answers all four against your own process, in writing, before anyone quotes you for a build.
The companion guide: what to automate, once you know how it goes wrong.
The four stages, and how each one is arranged around these failure modes.
The pre-mortem above, run against your process, at no cost.
Bring it. Knowing how the last attempt failed is the most useful thing you can arrive with.
Book a workflow audit