AI design sprints in TorontoA decision, not a demo.
An AI design sprint for Toronto product and innovation teams who need one live idea tested and a proceed, change or stop decision.
- Toronto, in person or hybrid
Toronto
A Toronto sprint that ends in proceed, change or stop
A Toronto product or innovation team does not need another chatbot demo. It needs a few days on one decision: proceed, change or stop. This sprint puts AI inside the research, the options and the prototype, then checks the result with people outside the room.
The core team sits in Toronto. A sponsor can join hybrid. The tools are whatever your team can actually use. The brief is a live customer or operator problem.
- For Toronto product squads and innovation programmes that have to show a decision.
- Three to five days, or a compressed format when the calendar is the constraint.
- In person in Toronto, or hybrid if a sponsor is elsewhere.
- Vendor neutral, with guardrails for data while you move.
◆ WE'VE RUN FOR TEAMS ◆
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The problem
AI is everywhere. Results aren't.
All talk
Endless AI hype and workshops, but nothing your teams actually built or shipped.
No idea where to start
Teams know AI matters but can't see where it fits their real work.
Death by pilot
Committees, roadmaps and pilots that stall before they deliver value.
Ideas stuck inside
The best problems, and solutions, are trapped in the day-to-day.
What it is
A sprint, not a seminar
Cross-functional teams, one room, one or two days. We combine design thinking, lean startup and hands-on AI to take a real problem from messy to prototyped, and pitched, before anyone goes home. No death by slides. Just building.
Scales from a single team to a whole-of-company conference of 100+.
Two tracks
Point the sprint at what matters most
Redesign internal processes with AI
Find the workflows quietly eating your team's time, and rebuild them with AI, cutting the busywork and automating the grind.
Build new customer-facing products
Spin up AI-powered product and service ideas fast, prototyped and pressure-tested in the room, ready to take forward.
How the sprint runs
From blank page to pitched prototype
One day = an intensive proof of concept. Two days = deeper build and customer validation.
- 01
Frame
Scene-set on AI and efficiency with real case studies, so everyone starts on the same page. · Morning
- 02
Discover the problem
Teams map workflow pain points and pinpoint where AI can actually intervene. · Morning
- 03
Design the solution
Reframe the problem, then design an AI-assisted solution to the biggest one. · Midday
- 04
Prototype with AI
Teams build a working lo-fi prototype using AI tools like Copilot, ChatGPT and agents, with facilitators coaching across the room. · Afternoon
- 05
Shark Tank pitch
Each team pitches to a judging panel (problem, solution, time or cost saved, live demo), then prizes and recognition. · Late afternoon
What you walk away with
By the end of the sprint
- Workflow pain-point maps, by team
- Sharper, reframed problem statements worth solving
- Working lo-fi AI prototypes, one per team, built and demoed
- A prioritised list of AI opportunities for leadership
- Teams who now know how to use AI to solve problems themselves
Why it works
Why this beats another AI course
Build, don't talk
Real prototypes, built in the room.
Real tools
Copilot, ChatGPT and agents, on your stack.
Real problems
Your challenges, not case studies.
Shark Tank energy
Competition drives momentum and buy-in.
Capability stays
Teams keep the method long after the sprint.
Proof
Sprints that scale to the whole company
Featured: whole-of-company AI sprint
A 120-person property firm ran an AI sprint across every department at its annual conference. Teams prototyped AI solutions to their own workflow bottlenecks and pitched them live.
Who it's for
Built for teams ready to move on AI
Leaders driving AI adoption
Execs who need AI to move from talk to real, adopted solutions.
Staff conferences & offsites
A high-energy centrepiece that scales to the whole company.
Innovation & transformation teams
Teams who need to show built outcomes, not more strategy.
Facilitator
Steve Glaveski
Founder of Collective Campus, 2× Wiley author and HBR contributor. Steve has incubated 100+ startups and shaped the innovation strategies of 100+ global corporations, and he runs these sprints himself.
Toronto
Questions about running this in Toronto
Where does an AI design sprint run in Toronto?
In person in Toronto for the core team. A sponsor can join hybrid. The sprint is three to five days, or shorter if that is all the calendar allows.
Who needs to be there?
The Toronto product or innovation team who will make the thing, and the sponsor who has to fund the next step. Engineers help. A mixed team can still prototype.
How do we book a Toronto AI design sprint?
Tell us the decision the sprint must produce, who can attend in Toronto and any data you are not allowed to paste into a tool. Use the contact form.
How is this different from AI training?
AI training builds skill across a team's ordinary week. This sprint spends that skill on one live challenge and ends with proceed, change or stop.
Related programs
When the next question is governance or judgment
Ready to build something real?
Tell us your team, your timing and the problem you want to crack, we'll shape the sprint.