An AI consultant helps a business work out where AI will genuinely save time, then chooses and configures the tools, cleans up data and file permissions, sets rules for staff and builds automations or assistants. There’s no standard price: cost depends on how many people, workflows and systems are involved, and on whether you’re buying an assessment, a workshop, an implementation project or ongoing support. The AI tools are billed separately by the vendor, usually per user per month.
Adoption is climbing quickly. Statistics Canada found that 19.2% of Canadian businesses used AI to produce goods or deliver services in the 12 months before its spring 2026 survey, triple the 6.1% of two years earlier. Cybersecurity or privacy concerns were the barrier businesses reported most often. This guide covers consulting and tool costs, good first projects, privacy rules in Canada and a plan for your first 30 days.
What an AI consultant actually does
Good AI consulting starts with your work, not a product. Most engagements include some mix of these services.
| Service | What it involves |
|---|---|
| Readiness assessment | Reviewing your systems, data, security, licences and the AI tools staff already use |
| Use-case discovery | Interviews or workshops to find repetitive tasks worth automating or assisting |
| Tool selection | Matching tasks to tools such as Microsoft 365 Copilot, ChatGPT, Claude or Gemini, and checking data terms |
| Data and permissions clean-up | Fixing overshared files and folders so an assistant can’t surface what people shouldn’t see |
| AI-use policy | Written rules on approved tools, what data can go into them and when output needs human review |
| Staff training | Hands-on sessions built around your real tasks, plus a shared library of prompts that work |
| Automation builds | Connecting apps so routine steps, such as data entry or follow-up emails, run on their own |
| Chatbots and assistants | Assistants that answer from your documents or website, for staff or for customers |
| Measuring time saved | Timing tasks before and after, so you know what each tool is worth |
How AI consulting is priced
AI consulting has no standard rate card, so be wary of anyone quoting a price before understanding your business. Most work falls into four engagement types, and each can be scoped and approved on its own.
| Engagement | What it covers | Typically priced as | What drives the cost |
|---|---|---|---|
| Assessment | Current state, risks and a short list of use cases | Fixed fee | People, systems and locations to review |
| Workshops and training | Use-case sessions, staff training and prompt libraries | Per session or per day | Group size, number of sessions and how tailored the material is |
| Implementation project | Tool rollout, permissions clean-up, automations and assistants | Fixed price per deliverable, or time and materials | Systems to connect, such as your CRM or accounting software, plus data clean-up, testing and security review |
| Retainer | Ongoing tuning, support, new automations and policy updates | Monthly fee | Hours included and how many workflows are covered |
How much do AI automation agencies charge?
An automation quote usually has three parts: building each workflow, monitoring and fixing it over time, and the platform fees underneath, which often scale with usage. Microsoft’s Copilot Studio, for example, is billed through prepaid credits or pay-as-you-go. Ask for all three to be itemized, with platform costs estimated at your real volumes.
How much does it cost to develop an AI chatbot?
It depends on what the chatbot must do. Answering questions from your website or documents is a smaller build than booking appointments or looking up orders, and every added language, system connection and hand-off to a person adds setup and testing. Running costs include the platform subscription or usage fees, keeping content current and reviewing conversations.
Budget for testing. In Moffatt v. Air Canada (2024), B.C.’s Civil Resolution Tribunal held the airline liable after its website chatbot gave a customer wrong information about bereavement fares, finding it made “no difference whether the information comes from a static page or a chatbot.”
What business AI tools cost
Subscriptions are separate from consulting fees. These are list prices from each vendor’s pricing page in September 2026, in Canadian dollars where the vendor shows them. Taxes may apply, and prices change often, so check before you buy.
| Tool | Price | Notes |
|---|---|---|
| Microsoft 365 Copilot Chat | No additional cost with eligible Microsoft 365 business subscriptions | Web-grounded AI chat with enterprise data protection; Microsoft says it doesn’t work with your organization’s files, emails or chats |
| Microsoft 365 Copilot Business | From CA$28.50 per user per month, paid yearly | Add-on for up to 300 users; AI in Word, Excel, PowerPoint, Outlook and Teams, grounded in your data. A first-year promotional price of CA$24.43 is offered from July 1 to December 31, 2026. |
| Microsoft 365 Business Standard or Premium with Copilot | CA$31.90 or CA$43.40 per user per month, paid yearly | Microsoft 365 apps, email and Teams bundled with Copilot Business |
| ChatGPT Business (OpenAI) | Standard seat CA$27 per month billed annually or CA$34 monthly; premium seat CA$135 billed annually | For teams of 2 to 200; formerly called ChatGPT Team |
| Claude Team (Anthropic) | Standard seat US$20 per month billed annually or US$25 monthly; premium seat US$100 billed annually | For teams of 2 to 150. These are US list prices; Anthropic says pricing and currency vary by region. |
| Google Workspace with Gemini | Business Starter CA$9.20 per user per month with an annual commitment; Business Standard CA$18.40 | Starter includes Gemini in Gmail; Standard adds Gemini in Docs, Sheets, Drive and more |
Microsoft has begun renaming Microsoft 365 Copilot to Microsoft Copilot, though its Canadian pricing page still used the older names in September 2026. Personal plans such as ChatGPT Plus and Claude Pro are designed for individuals, not businesses; the privacy section below explains why that matters.
Practical AI use cases for small businesses
The best first projects are frequent, repetitive and easy to check. Among Canadian businesses using AI, the most common applications in Statistics Canada’s 2026 survey were data analytics (36.6%), text analytics (34.5%) and virtual agents or chatbots (28.2%).
| Industry | Good first uses | Watch for |
|---|---|---|
| Professional services | Drafting letters and proposals, summarizing long documents and meetings, finding past work | Client confidentiality; check facts, figures and citations |
| Trades and construction | Turning job notes and photos into quotes and reports, follow-up emails, scheduling | Have a person approve prices before a quote goes out |
| Clinics and practices | Intake and admin forms, appointment reminders, non-clinical letters and policies | Patient information needs extra care; clinical decisions stay with clinicians |
| Retail and e-commerce | Product descriptions, draft replies to customer emails, a website chatbot for store policies | You answer for what your chatbot tells customers |
| Manufacturing and distribution | Reading purchase orders, invoices and packing slips; answering questions from manuals and specs | Check extracted data before it reaches your ERP or inventory system |
Is it safe to use ChatGPT or Copilot for business?
It can be, with the right plan and some ground rules. Three things matter: which privacy laws apply, what the vendor does with your data, and who can see what inside your own systems.
Privacy law in B.C. and Canada
Most private-sector organizations in B.C. fall under the provincial Personal Information Protection Act (PIPA), which makes an organization responsible for personal information under its control, even when it isn’t in its custody, and requires reasonable security arrangements to protect it. The federal PIPEDA applies to federally regulated organizations and to personal information that crosses provincial or national borders in the course of commercial activity.
Canada’s federal, provincial and territorial privacy authorities have been clear that generative AI doesn’t sit outside these laws. Their Principles for responsible, trustworthy and privacy-protective generative AI technologies, issued on December 7, 2023, ask organizations using these tools to:
- Use anonymized or de-identified information in prompts where possible, and enter personal information only where authorized
- Remember that accountability for decisions rests with the organization, not an automated system
- Tell affected people when a generative AI tool is part of a decision-making process
In May 2026, a joint investigation by the federal, B.C., Alberta and Quebec privacy regulators found that ChatGPT’s initial development didn’t comply with federal and provincial privacy laws. OpenAI has since made changes, and the regulators’ summary reminds organizations that products and services using AI must comply with privacy law.
What the vendors commit to
- Microsoft: prompts, responses and data accessed through Microsoft Graph aren’t used to train foundation models, and Copilot only surfaces organizational data that each user can already view.
- OpenAI: by default, data from ChatGPT Business, ChatGPT Enterprise and its API isn’t used to train or improve its models.
- Anthropic: by default, inputs and outputs from its commercial products, including Claude Team, aren’t used to train its models.
- Google: Workspace doesn’t use customer data to train models without prior permission or instruction, and Gemini follows your existing Workspace permissions.
Personal plans work differently. OpenAI’s pricing page says content on its individual plans is used to train models unless you opt out, and Anthropic lists model training on its Free, Pro and Max plans as opt-out. That’s a good reason to give staff business accounts. If you need data kept in Canada, check each tool: Microsoft says Copilot queries from customers outside the EU may be processed in the US, EU or other regions, and OpenAI lists data storage in Canada for eligible Enterprise, Edu, Healthcare and API customers.
Inside your own systems
Because Copilot respects existing permissions, it can surface anything a user can already open, including files that were overshared years ago. Microsoft notes that SharePoint’s sharing settings default to the most permissive option, and its Copilot readiness guidance starts with finding overshared content. The Canadian Centre for Cyber Security recommends a policy on how AI may be used, multi-factor authentication and keeping personal and sensitive corporate data out of prompts. Output still needs checking, too: Microsoft says generative AI responses aren’t guaranteed to be 100% factual.
A simple first-30-days plan
- Week 1: find out where you are. Ask staff which AI tools they already use and for what. Pick two or three repetitive tasks and time them. Turn on multi-factor authentication for everyone.
- Week 2: set the ground rules. Choose a business plan and read its data terms. Write a one-page AI-use policy covering approved tools, what data can and can’t go in, and when output needs review. If Copilot is on the list, review sharing in SharePoint, OneDrive and Teams first.
- Week 3: pilot with a small group. Give a few people licences, train them on the chosen tasks and collect the prompts that work.
- Week 4: measure and decide. Time the same tasks again, note errors and risks, and decide whether to expand, adjust or stop before buying licences for everyone.
Common mistakes to avoid
- Rolling out Copilot before fixing oversharing. An assistant that respects permissions will still find the salary spreadsheet someone shared with the whole company.
- Having no written policy. Without one, each person decides what’s safe to paste into a chatbot. PIPA already requires organizations to develop and follow policies and practices for personal information.
- Ignoring shadow AI. In Microsoft and LinkedIn’s 2024 Work Trend Index, 78% of AI users said they bring their own AI tools to work. An approved business option makes your policy easier to follow.
- Automating a broken process. If a workflow is inconsistent or undocumented, automation just makes the problems happen faster. Fix the process first.
- Launching a customer-facing chatbot untested. As the Air Canada decision showed, your business answers for what its chatbot says.
For help with an assessment, policy or rollout, see our AI consulting and automation service, including AI consulting in Vancouver, Surrey and Abbotsford, or contact us. The groundwork often overlaps with cybersecurity and cloud services; our Microsoft 365 migration checklist and small business cybersecurity checklist are useful next reads.