AI consulting that ships something.
A lot of AI consulting ends with a slide deck. Ours ends with something your team uses on Monday. We look at how work actually moves through your business, pick the few places where AI pays off, and then build it ourselves.
What does an AI consultant actually do?
An AI consultant figures out where AI can save time or bring in revenue for your business, which tools fit, and what it will take to get there. The useful ones also build and launch it, measure the result and train your team, so the plan does not die after the kickoff meeting.
Opportunity map
We interview your team, trace your busiest workflows and rank AI ideas by time saved and effort.
Tool selection
Straight answers on ChatGPT, custom agents, n8n, Zapier, Make and app builders like Base44, based on your needs.
Pilot builds
We build the first agent or automation fast, so you see real results before committing to more.
Voice and chat agents
AI receptionists, follow-up agents and website chat that answer customers around the clock.
Custom apps
Internal tools and client portals that put your data and AI in one place.
Team training
Short, practical sessions so your staff know how to use what we built and when to step in.
How it works
- 01Discovery call
A free call to learn your goals, your tools and where the time goes.
- 02Workflow review
We map the processes worth changing and estimate what each one is worth.
- 03Pilot
We build and launch one high-value use case and measure it against the old way.
- 04Roll out
We expand what works, connect more systems and keep improving it with you.
Questions people ask
How much does AI consulting cost?
It depends on scope. Some businesses need a short review and one pilot, others need several agents and an app. We scope it after a free discovery call so you know the cost before any work starts.
Do you only advise, or do you build too?
We build. Recommendations are the start, and then we write the automations, voice agents and apps ourselves. See our AI automation agency page for what that looks like.
Where should a small business start with AI?
Usually with the phone, lead follow-up and repetitive admin, because the savings are easy to measure. Our AI for small business guide walks through the best first projects.
Is our data safe?
We pick tools and settings that fit your data, limit what each system can see, and explain where your data goes before anything is connected. Regulated businesses should also review vendor agreements with their own counsel.
How long until we see results?
A focused pilot, like an AI receptionist or a lead follow-up workflow, is often live in a few weeks. Bigger rollouts happen in stages so you see value along the way.