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AI consulting: decide where AI is worth using.

Which models fit, and what it takes to get to production. Advice from the people who build and run AI products every day.

Three questions we answer with you.

  • Where is AI worth using?

    We go through the work with the people who do it, and separate the tasks where AI helps from the ones where it only adds cost or risk.

    A short list of use cases, in order of value and effort.

  • Which models fit?

    We compare models against your data, budget and requirements, including where your data may go and who may process it.

    A model and hosting choice you can explain to your team and your customers.

  • What does production take?

    A demo is the easy part. We map the integration, security, testing and maintenance a live system needs.

    A plan with the steps, the risks and what to build first.

Is AI worth it for this task?

Think of one task in your organization. These four questions are where we start too.

  • Does this task come back often?
  • Do you have examples of it done well?
  • Can a person check the result?
  • Can you recover from a wrong answer?

Pick one task and answer all four.

Each yes lights up a floor.

Talk it through with usA rule of thumb, not a verdict.

How it works

You talk directly with the people doing the work, from the first conversation on.

  1. A first conversation

    Tell us what you are trying to decide. We work out together whether we can help and what the question really is.

  2. A look at the work

    We talk to the people involved and look at the processes, data and systems the decision touches.

  3. A clear recommendation

    You get our advice in plain language: what to do, what to leave and why.

  4. You decide what happens next

    Build it with us, with your own team, or not at all.

Bring one question. We start there.