AI Consulting

Practical AI consulting for small businesses that need a clear starting point, not another buzzword deck. We help Portland-area companies figure out where AI actually saves time or money — customer service, quoting, scheduling, content — and what to skip because it isn't worth the setup. These posts cover how AI consulting for small business really works: audits, pilot projects, and the questions to ask before you sign with an AI services Portland vendor. What separates useful AI consulting from an expensive slide deck is whether anything ships. Our engagements start with the one process that costs you the most hours or leads, and end with that process running on its own, with a number attached that proves it. These articles walk through how we scope that first project, how to tell a real integration from a chatbot bolted onto a website, and what an honest month-by-month plan looks like for a business without an IT department. You will also find our field notes on where AI reliably pays for itself today, such as intake, follow-up, reporting, and content operations, and where it still needs a person in the loop. If you want to know what an engagement looks like before you call anyone, the first article in this category walks through a real one from scoping to the number that proved it. One more thing owners ask: how do you know the consultant is not just selling software? Ask what they will measure at day 90 and whether they will put it in writing. We do, and the number is usually hours returned to the business or leads that would otherwise have gone unanswered. A typical engagement, so you can picture it: a two-week discovery where we sit with the people who do the work and map the three or four processes that eat the most hours, a written plan that ranks them by payback, a first build that usually goes live inside a month, and a review at ninety days against the number we wrote down at the start. Consulting that does not end in something running is a report, and we do not sell reports. We also help owners evaluate the tools they are being pitched; a surprising share of our consulting hours go into saying that a subscription already covers what a vendor wants to custom-build. The articles here include the questions we ask in discovery, the way we estimate payback, and honest accounts of where our own first estimates were wrong and what we learned.