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services/ai & data/ai discovery workshops
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AI Discovery Workshops

Find the AI features worth building, and the ones that are not. A few structured days that replace a backlog of speculative ideas with a short, costed roadmap.

Most AI initiatives fail on selection, not execution. The team builds something technically impressive that solves a problem nobody had, or automates a workflow that turns out to need a human for reasons that were obvious to the people doing it. Choosing the right first feature matters more than the model behind it.


We run focused sessions to map where AI actually has leverage in your business: repetitive judgement work, unstructured data nobody has time to read, tasks where being roughly right immediately beats being exactly right next week. Then we score them by value, feasibility, and what could go wrong.


A significant part of the value is what gets ruled out. Some ideas are better served by a search index or a well-placed rule, and we will tell you when that is the case. Spending a week to avoid a wasted quarter is a good trade.



What this includes

  • /Use-case identification across teams and workflows
  • /Data readiness assessment, what you have and can use
  • /Feasibility and cost modelling per use case
  • /Risk review: accuracy, privacy, and failure modes
  • /A prioritised roadmap with a clear first build
  • /An honest list of what not to do with AI

When teams call us

  • /Pressure to "do something with AI" without a clear target
  • /A long list of AI ideas and no way to rank them
  • /Uncertainty about whether your data supports the ambition
  • /A stalled pilot that never reached production
  • /Needing a costed plan before committing budget
// other ai & data services

Vibecoded to Production

Your AI built it. We make it safe to run. We take AI-generated prototypes that already work and turn them into software you can put in front of customers.

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Data Engineering

Pipelines you can trust the numbers from. We build the infrastructure that turns scattered operational data into something a business can actually make decisions on.

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ML & Analytics

Models and dashboards that change what people do. We build analytics tied to decisions, and machine learning only where it beats a simpler answer.

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Common questions

What happens in an AI discovery workshop?+

We map potential AI use cases across your business, assess the available data, and identify where AI can create real value rather than simply add complexity.

How long does an AI discovery workshop take?+

Most workshops take two to five days, usually spread across a week so there is time to review data, assumptions, and technical constraints between sessions.

What do we get at the end of the workshop?+

You receive a prioritised AI roadmap, feasibility and cost estimates, identified risks, data-readiness findings, and a clear recommendation for what to build first.

Can you tell us when AI is not the right solution?+

Yes. A key part of the workshop is ruling out ideas where conventional software, search, automation, or simpler rules would solve the problem more reliably or cheaply.

Do we need clean, structured data before starting?+

Not necessarily. We assess what data exists, how usable it is, and what would need to change before a particular AI use case can be implemented safely.

Can you help build the AI feature after the workshop?+

Yes. If the roadmap identifies a strong first use case, we can continue into prototyping, evaluation, production engineering, and ongoing operation as a separate engagement.

Need help with ai discovery workshops?

Whether it is a rebuild or extra hands, the first call is 30 minutes.

Book a 30-min call