Questions an AI consultant should ask you, and what a missing one tells you
The questions a competent AI consultant asks before quoting: the work, the systems, your Ontario headcount, personal information, and when to stop.
Notes
Costs, Ontario rules, published data, and how the work is actually done. Every number on this blog is sourced or is my own quoted price. Where I have not measured something, the post says so.
The questions a competent AI consultant asks before quoting: the work, the systems, your Ontario headcount, personal information, and when to stop.
What to write down before you meet an AI consultant: who decides, every system you pay for, your worst hour, three counted jobs, and where personal data sits.
A savings figure before anyone has watched the work, a product before a problem, nothing marked skip. The signs of an oversold AI pitch, and how to test one.
A broken process is a missing rule, missing data, a missing owner, or too much volume. Only the last one is an automation problem. How to tell which you have.
An ordinary NDA misses what an AI consultant touches: recordings, AI tools, subcontractors and personal information. The clauses to check before day one.
Two AI quotes only compare once they describe the same job. The eight lines to put side by side, the blanks that matter, and the questions to send back.
What a booking reminder sequence costs to build in Ontario, how to count what no-shows cost you before you spend, and the CASL rule that decides the SMS half.
What it costs to extract supplier invoices into QuickBooks or Xero, the CRA rules deciding where records live, and the validation step nobody skips twice.
How to answer every enquiry in under a minute, what the build costs in Ontario, and the PIPEDA line that decides whether you may enrich a lead at all.
An original study of 136 AI recommendation queries across 34 Ontario cities. Seven in ten citations came from a page the business does not own.
Ontario is 63.3% of Canada's advertising industry revenue. Here is what a retainer buys, where the money goes inside an agency, and when to skip one.
Ontario owners work 54 hours a week and lose 735 more a year to compliance. Here is the marketing that survives that, in order, with the hours costed.
An AI intake agent answers, qualifies and books, from $4,000 to $15,000 plus running costs. What it cannot do, and the consent rule Ontario callers trip on.
A $50,000 Ontario hire costs about $54,500 in 2026 once CPP, EI and WSIB are added. Here is when that beats a $2,500 to $12,000 automation build.
Zapier bills per step, Make per module action, n8n per workflow run. On a 12 step workflow that is a 12 to 1 difference. Prices checked August 14, 2026.
AI removes repeated work, not decisions. Seven jobs it does well in an Ontario business, what each saves, and the $2,500 to $12,000 that a build costs.
Statistics Canada put rural business AI adoption at 9.9% against 21.0% urban in Q2 2026. Software costs the same everywhere. What differs is access to advice.
Statistics Canada found 32.0% of AI-using businesses trained staff. The rest have people improvising with client data and no written rule. Fix that first.
In a trades business the cheapest lead is the one already calling you. Four automations, priced, ranked by return, for Ontario contractors and services.
Chatbots answer known questions from your documents. Agents take actions in your systems. The price gap is $4,000 to $15,000 and the wrong pick shows.
Three tests decide which job to automate first in a small Ontario business: measured hours, whether the process is written down, and whose data it touches.
The Privacy Commissioner's May 2026 OpenAI finding confirmed Canadian privacy law reaches AI training data, prompts and outputs. What that means for SMEs.
Since January 1, 2026, Ontario employers with 25 or more employees must say in public job postings whether AI screens, assesses or selects applicants.
Ontario's DMAP offers up to $15,000 toward a digital adoption plan for SMEs with 1 to 499 employees, and a follow-on program adds up to $50,000.
An AI assessment is worth paying for when it names your own processes with hours and dollars against them. Here is the deliverable list to demand.
AI consulting in Ontario, priced: a $999 assessment, $2,500 to $12,000 for a workflow build, and the six things that move the number, with sources.
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Tell me how many people work there, what the busiest hour of the week looks like, and which task everybody complains about. That is usually enough to say on a first call whether an assessment is worth your $999 or whether you have one obvious problem that needs one obvious fix.
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