Why a hackathon
Most teams learn AI in the abstract, a webinar here, a course there, and never actually apply it to their own work. A hackathon flips that. It forces real application, against a real problem, in a short window. Your team finishes with something usable in their hands and lasting momentum to keep going.
Real problem
Anchored to something your business actually cares about.
Real build
Working prototype or solution by the end, not slides.
Real momentum
Skills, patterns and confidence to keep building after.
The Day Seven Sprint
From problem to working solution, at a length that fits your business
Every Sprint runs through the same three phases. We agree the length, the number of people and the number of teams with you during scoping, based on the problem and the time the business can give.
Discover & plan
We work with your team to pin down the real problem, map where AI fits, and plan the build, so building starts with a clear target, not a blank page.
Build
Your team builds real, working products, automations and workflows for your area of the business, using the AI tools you already use: Claude, ChatGPT/OpenAI, Microsoft Copilot and Google Gemini, with our experts hands-on alongside them.
Embed & what next
Wind down, demo what you've built, and map how to maintain, roll out and scale it, so the momentum doesn't stop when the hackathon ends.
How our hackathons work
Start with your real problem
We work with your team to surface a genuine internal challenge worth solving, not a contrived case study. The hack is anchored to something that actually matters to the business.
Find the AI angle
We map where AI can realistically help, what 'good' looks like, and what's out of scope, so your team starts the hack with a clear, achievable target.
Build it for real
Your team builds working solutions using the tools you already use, Claude, ChatGPT/OpenAI, Microsoft Copilot, Google Gemini, plus automation. Our experts guide hands-on throughout.
Walk away with something usable
A working prototype or solution to your real problem, plus the skills, patterns and structure for your team to keep building long after the hackathon ends.
Length and team size
Every hackathon is bespoke. We agree the length, the number of people and the number of teams with you, based on the problem you want to solve and the time the business can give. Hackathons run at your office, with our trainers on site.
What makes this different
- We don't just run a workshop: we design and structure the hack around your team and your problem
- Real internal challenges, not generic exercises, so the output is genuinely usable
- Hands-on expert facilitation throughout, not just a kickoff and a debrief
- Built on the AI tools your team already uses, so the skills transfer the day after
- The format centres on applied learning with your tools and a defined internal challenge
Who it's for
Frequently asked questions
Book a free 60-minute call
Talk to Qasim Ahmed, our founder, about your team, the AI tools you have licences for and the tasks that take the most time. We'll suggest where to start. No obligation to book.
Or email hello@dayseven.ai
From challenge to prototype
| Focus | What it covers | What we agree with you |
|---|---|---|
| Discover | Frame a real internal problem and success criteria | Data access, tools and boundaries |
| Build | Guided hands-on prototyping using your stack | Team roles, format and feasibility |
| Embed | Demonstrate the build and plan next steps | Ownership, evaluation and any work needed before rollout |
Illustrative use cases
These examples show possible applications, not client projects or results. Exercises and deliverables depend on the agreed scope.
- Document triage
- A team could prototype sorting sample documents and sending uncertain cases to a person for review.
- Knowledge assistant
- A team could explore answering internal questions from approved material, testing unsupported answers before any wider use.
Trusted by
Teams we've worked with to build practical AI capability.






Day Seven has delivered AI enablement work for GXO, SharkNinja, Velociti, Studiospace, Archer Hotel Capital and Yorkshire Cancer Research.
This is company-level experience, not a claim that each organisation bought the particular service described on this page.
Learn about the Day Seven team and how to choose an AI training provider before deciding who to work with.
