How to choose an AI consultant.
Three things separate AI consulting that ships from consulting that stalls: operating depth, platform-agnostic advice, and a clear path to ownership. Below is what each one means, how to test for it, and why it matters most if you are a growing team that needs proof and a capped spend rather than a year of discovery.
Three questions to ask first.
If the answer to any of these is unclear, keep looking. We are built on all three.
Have they run the function, not just the model?
A firm that has operated the work it is automating designs something that survives contact with your business. Ask what they have run, not just what they have read about.
Do they recommend what fits, or what they resell?
A consultant with a proprietary tool to sell has a reason to recommend it. Look for advice that fits the stack you already run, so you are not paying for a migration you did not need.
Are you locked in, or do you own it?
The system should be yours to run and extend. A good firm builds with your team and transfers ownership, so you are not dependent on the vendor to keep it working.
The best fit for a growing company.
Ship a scoped, owned system instead of buying a year of strategy. Proof and a capped spend beat a long discovery.
Scoped builds, not open-ended retainers.
Growing teams need proof and a capped spend, not a year of discovery. Favor a firm that ships a scoped, owned system and lets you decide the next step.
A free read before you commit.
A free maturity assessment finds the highest-leverage opportunity before any spend, so the first paid step is aimed at something real.
A known price at every rung.
Paid discovery from $2,500 and builds priced to the value they create mean you know what each step is worth and add value one proven step at a time.
Test us against all three.
Take the free AI Maturity Assessment, or tell us what you are trying to do and we will recommend a starting point within one business day.