1-Day AI Sprint · In person
One day to put AI to work on your department’s real problems.
We spend a day in person with your team. By the end, small groups have built working prototypes on problems they deal with every week, and each person leaves with a next step.
The pressure
Your team has the tools.
Some people use them well, quietly, on their own. Nobody has had a day to sit down together, with the work in front of them, and figure out where AI actually makes the work better.
The behaviour we change
Not a training session on what the tools can do. A working day on what your department needs done.
The problems come from your team, the material is your own, and the guardrails are agreed before anyone builds anything.
How the day runs
A survey, a morning, an afternoon.
Before the day · A short survey
Everyone on the team answers a few questions about their work. We use the answers to pick the problems worth solving on the day.
Morning · Guardrails, then hands-on
First, the rules: what AI can be used for in your department, what data stays out, and which decisions stay with people. Then the team works with AI on their own material.
Afternoon · Build and show
Small groups take one live problem each, build a working prototype and show the room. Every person leaves knowing the one thing they’ll do with AI next week.
One day at your office, with a department leader and a team of up to 20. Here’s what the day needs from you.
- A department leader and up to 20 people
- A room at your office
- A short survey, answered before the day
- Laptops and an agreed AI tool
- Sample material with anything sensitive removed
What teams build
Prototypes on the work in front of them.
Examples of the kind of prototypes teams build. Yours come from your own survey.
- Finance
An assistant that drafts the monthly variance commentary from the ledger export. The controller reviews and signs off.
- HR
A first-pass summary of exit interview themes, pulled from a year of notes. HR decides what changes.
- Operations
A checklist builder that turns a job’s scope into a site-ready plan. The supervisor approves the plan.
- Sales
A one-page brief that pulls a prospect’s history and past proposals together before a call. The account lead owns the conversation.
Proof
The afternoon runs on the NoW Hackathon, a format we’ve run more than 100 times since 2015, now built around AI.
“You put us in a safe container to just let our brilliance out.”
What you leave with
- Working prototypes on real problems from your department
- Guardrails your team agreed on together, written down
- A ranked list of the next problems worth solving
- A next step for every person in the room
Best fit
A department leader and a team of up to 20 who want to see what AI can do with their own work, not a demo of someone else’s. Finance, HR, operations, sales, customer service. Marketing teams have their own version, built around a live campaign.
Investment
In person, at your office, for up to 20 people.
The Sprint builds prototypes, not production systems. If one is worth taking further, we scope that separately.
Pricing shown reflects 2026 rates. Final pricing is confirmed through a formal proposal and may vary based on scope, complexity, and client requirements.
Updated
Where this fits
One path. Start wherever you are.
Start hereFind where AI pays
AI Transformation Readiness Assessment Free. See where the company stands.AI Boardroom Clinic Four hours with your leadership team, leaving with three workable use-cases.01Prove it in a day
You are here1-Day AI SprintA team builds working prototypes on its own problems.02Make it how one department works
Departmental AI Transformation Three months inside one department, on its own workflows.Marketing AI Transformation Built around your campaigns.HR AI Transformation For the team writing the AI policy.03Make it how the company works
Company-wide AI Transformation Every team, with AI Champions in each one.
Let’s have the conversation.
Book a call, and we’ll show you exactly where 1-Day AI Sprint fits your business.
Not sure which department to start with? The AI Boardroom Clinic finds where AI pays first.