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AI Consulting

Most AI questions are business questions first: what is slow, what is repetitive, what is expensive. We look at where AI could genuinely help and what it would take to build, before anything is built.

What we do

  • Go through the work you do today, and where it costs you most
  • Say plainly where AI would help, and where it would not be worth it
  • Scope what building it would involve, and what it would depend on
  • Set out what has to be true to know it worked
  • Build it, if you decide to go ahead

Who it's for

Companies being told they should be using AI and wanting a straight answer about where it would pay, and teams with a specific task in mind who want it scoped before they commit.

Frequently asked questions

What does AI consulting involve?

We go through the work you do today, say plainly where AI would help and where it would not, and scope what building it would take before anything is built.

Will you tell us if AI is not worth it for us?

Yes. Saying where AI would not be worth it is part of the job.

How do we know whether an AI project worked?

We set out beforehand what has to be true to call it a success.

Do you also build what you recommend?

Yes, if you decide to go ahead. Building it is a separate decision that stays yours.

We already have a specific task in mind. Is consulting still useful?

Yes. Teams with a specific task use it to have that task scoped before they commit.

Does AI consulting need our data to be ready first?

Part of the scoping is naming what the project would depend on, such as your data. Where data needs work, see Data Engineering.