Artificial intelligence is changing how businesses work. Rather than simply talking about its potential, we wanted every member of the WinMan team to have the opportunity to explore it firsthand.
We recently held a company-wide AI discovery day, with colleagues attending either a morning or an afternoon session. The aim was to provide dedicated time to experiment with the AI platforms available to us as a business.
The event itself was also shaped with the support of AI to show how timesaving it can be if used right.
We began with a staff survey to understand existing knowledge, confidence levels, plus the areas people wanted to explore. AI helped analyse the responses, turn the findings into a plan, then create resources for the sessions.
From the first survey question through to the activities in the room, the day became a practical example of how AI can support a project from beginning to end.
Time to explore
Colleagues were encouraged to test different platforms, ask questions, try prompts, then refine the results. The focus was on learning through experimentation rather than expecting anyone to become an AI expert within a few hours.
We had people making games, songs, and exploring how AI can support their own roles, whether that involved developing ideas, organising information, improving processes, or approaching everyday tasks differently.
One of the key messages was simple: start asking questions.
AI rarely provides the perfect result from the first prompt. The value often comes from continuing the conversation, adding context, then shaping the response using human knowledge.
From individual exploration to shared ideas
Throughout the day, colleagues shared what they discovered with each other.
Ideas were added to a company idea board, creating a central collection of possible applications for WinMan. This gave people the opportunity to learn from other departments while considering challenges outside their usual roles.
Some ideas may develop into practical projects. Others may help start wider conversations about how we work.
The purpose was not to implement every suggestion immediately. It was to create a space where people felt comfortable exploring what may be possible.
Supporting people, not replacing them
The day was not about replacing human knowledge, experience, or judgement.
It was about understanding how AI could act as a collaborator. It may help reduce repetitive work, structure early thinking, speed up a first draft, or offer a different perspective on a problem.
AI can support one person through stages that may previously have required several separate tools or handovers. However, people remain responsible for questioning the output, applying context, plus deciding what is genuinely useful.
A company-wide starting point
We already use AI in our products, by involving the whole company, AI exploration was not limited to one department or a small technical group.
Every colleague had the chance to contribute to the conversation. This was important because some of the strongest ideas can come from the people closest to a task, process, or customer challenge.
The discovery day was a starting point rather than a finished project.
Our next step is to review the ideas, identify where AI could provide genuine value, then continue experimenting responsibly.
The most valuable outcome was not one particular platform or prompt. It was giving people the confidence to explore, share ideas, plus ask whether there could be a better way of doing something.


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