Choosing between AI consulting firms? Here's what to look for.

Look for shipped implementations rather than strategy decks, domain experience in your sector, an explicit training and adoption plan, documented governance practices, and success metrics agreed before the work starts.

Ask what they have put into production in the last year, who maintains the system afterward, where your data lives, how they measure success, and what happens if the first use case fails.

Large firms bring scale and procurement familiarity; boutique firms bring senior people doing the actual work and faster cycles. For a first AI project, a smaller team that ships is usually the better fit.

Assessments and workshops are typically fixed-fee, implementations are milestone-based, and support is monthly. Be cautious of firms that will not quote until after a long discovery phase.

Because we implement. We have trained 900+ employees, run 20+ automations in production, and build custom platforms in-house instead of white-labeling someone else's template.