An SMB owner who almost spent $90k. The right answer was $0 for now.

A founder reached out in February. Twelve-person services company, mostly residential clients across the GTA, profitable, no debt. He'd been pitched by two AI firms in the previous month and was deciding between them. The quotes were $62k and $89k. Both promised some version of "AI for small business" — a customer-facing chatbot, a lead-scoring tool, an internal knowledge assistant, and an automated proposal generator.

He sent me both proposals and asked which one was better.

Neither, was the honest answer.

What I could see from the proposals was that nobody had asked him a basic diagnostic question. His business was growing about 18% a year on word of mouth alone. His team was at full utilization. His main bottleneck, when I asked him to describe a bad week, was that his two senior techs were both retiring within eighteen months and he hadn't started writing down what they knew.

That's a problem AI can help with. It is not the problem either firm had quoted on.

We spent the first call mapping his actual constraints. He didn't need a chatbot — his customers don't shop online and his lead flow was already saturated. He didn't need lead scoring — every lead got a callback and most of them closed. The proposal generator was solving for a process that didn't have a backlog. None of the three flagship features in either quote would have changed his P&L in any direction I could see.

What he needed, and what we ended up scoping for the spring, was a project that doesn't sound like AI work at all. Sit with the two senior techs for a few days. Record the conversations. Build a structured internal knowledge tool from those recordings — searchable by job type, by failure mode, by the kind of question a junior tech would ask. Cite the source recording for every answer so the institutional memory stays attributable to the people who actually had it.

Estimated cost is somewhere in the $8k–$14k range depending on how much editorial cleanup the transcripts need. Estimated value is whatever you think it's worth to not lose thirty years of trade knowledge when two people retire.

The deeper point is one I keep running into. The AI shops bidding on this account weren't malicious. They were quoting their menu against his stated ask. Nobody had asked him what was actually fragile in his business. That diagnostic step is the one thing every flashy AI proposal seems to skip, and it's also the only step that determines whether the build is worth doing at all.

If you run a small business and you're getting AI proposals, the test is simple. Ask the firm to describe, in their own words, the single biggest operational risk to your business in the next three years. If they can't, they don't know enough about you to be quoting yet. The rest of how I think about engagements follows from there. For broader Canadian SMB context, Statistics Canada tracks the kinds of structural pressures actually showing up in small business data. Most of them have nothing to do with AI.