A year is enough time to turn an AI idea into a measured result. That is the good news for any Canadian team thinking about ALL IN 2027, which the organizer says will take place September 22 to 23, 2027, in Montreal.
Our advice is to use the year. Arrive with one task you changed, the numbers from before and after, and what your clients were told. You will get far more from two days in Montreal with a real result to compare than with a list of questions.
Key points
What is ALL IN 2027?
ALL IN 2027 is the fifth edition of a Montreal AI event, set for September 22 to 23, 2027. In its September 18, 2026 release, the organizer reported 10,000 attendees from 50 countries at the 2026 edition and said it aims for an even split between AI sellers and the large organizations adopting AI.
That split matters most for a business that uses AI rather than sells it. Half the room is people like you, with tools in daily use and results to share.
A one-year plan for your team
Pick one task this month. Measure it now. Change it with AI over the winter. Measure it again in spring. That plan fits on a whiteboard, and it gives your team something real to talk about in Montreal next September.
From now to ALL IN 2027
Pick one task. Record hours per week and error rate today.
Try one AI change on that task. Name an owner.
Check the numbers. Keep, adjust or drop the change.
Write down what clients were told and how they reacted.
Bring the before and after numbers to compare with peers.
Tell clients before they find out
If the task touches client information, tell clients what changed before you start. A short note is enough: the job the tool now helps with, the data it never sees, and who to call with questions. In our view, clients who hear first are more likely to trust the change.
That note also makes your result stronger at ALL IN 2027. “We cut intake time by a third, and clients were told in advance” is a result peers can learn from. We covered the risk side in our checklist for teams whose AI tools misbehave.
Why a measured result beats a list of questions
At a large event, people share what worked. If you bring a number, others bring theirs. That is how you find out whether your third is good or ordinary, and what to try next.
Many Canadian firms have no AI plan at all. We looked at what that means for the firms that still have no plan for AI, about half the country. A one-task plan with a baseline is the easiest way out of that group, and our guide to measuring an hour a day of AI savings shows how to count it.
Who should go to ALL IN 2027
Teams that have run one real AI change and want to compare notes will get the most. Firms that sell AI to Canadian businesses will meet buyers there, since the organizer says half the room is adopters. Teams starting out should still plan for it, because a year is long enough to have something to share.
Start this week. Choose the task, write down today’s number, and name the owner. For more ideas, see our AI for business guides for Canadian teams.
This preview is our own work. ALL IN did not commission or fund it, and AI Magazine Canada has no tie to the event.
If your result is ready sooner, our Startupfest 2027 preview explains why AI founders should lead with gross margin, and our CSPC 2026 preview covers the policy side in Ottawa this November.
FAQ
When is ALL IN 2027?
The organizer’s September 18, 2026 release dates the event’s fifth edition to September 22 and 23, 2027, in Montreal.
How big was ALL IN 2026?
The organizer reported 10,000 attendees from 50 countries for its 2026 edition.
Who is ALL IN for?
The organizer says it aims for an even mix of companies selling AI and large organizations adopting it, so it suits both firms that sell AI and firms that use it.
How can a small team prepare for ALL IN 2027?
Pick one task, measure it now, run an AI change on it for three months, and bring the before and after numbers.
