Question 1

What is an AI hackathon?

Accepted Answer

A short, focused sprint where your own teams build working AI prototypes against real problems from your business. Instead of a lecture about AI, people leave with something that runs. Most formats run one to two days.

Question 2

Who is this for?

Accepted Answer

Companies that want AI adoption to stick, not stay a slide. It works for agencies, scaleups and larger organisations. The common thread is teams that do real work and want to turn a tool impulse into a shipped result.

Question 3

What do teams actually build?

Accepted Answer

Real prototypes tied to your workflows. Past themes include internal assistants, document and data pipelines, customer-facing tools and automations that remove manual steps. You pick the challenges, we help scope them so they are buildable in the time.

Question 4

Do we need engineers to take part?

Accepted Answer

No. Mixed teams work best. Modern AI tools let non-developers build a lot, and we pair people so business knowledge and building sit at the same table.

Question 5

What do we need to prepare?

Accepted Answer

A few real problems worth solving and the people close to them. We handle the format, the tooling and the facilitation. A short scoping step before the day makes sure the challenges fit.

Question 6

What happens after the hackathon?

Accepted Answer

The point is what survives Monday. You leave with working prototypes, a clear view of which ones deserve investment, and the internal momentum to keep going. We can support the path from prototype to rollout.

Question 7

Is our data safe?

Accepted Answer

Yes. We work inside your constraints, use tooling you approve, and keep sensitive data handling aligned with your policies. Nothing about the format requires exposing data you would not otherwise share.

Question 8

How is a hackathon different from AI training?

Accepted Answer

Training teaches. A hackathon ships. People learn by building something real against your own problems, so the skills land in a working result rather than in notes. Many teams do both, training first, then a hackathon to apply it.

Question 9

How big are the teams?

Accepted Answer

Small enough to move, usually four to six people per challenge, mixing domain knowledge with hands-on building. Several teams run in parallel at a larger event.

Question 10

Can you run it remote or onsite?

Accepted Answer

Both. Onsite tends to create more energy and faster decisions; remote works when teams are distributed. We adapt the format to how your people actually work.

Frequently asked questions

Frequently asked questions

Participants write on LinkedIn

Ready to turn learning into working prototypes?