AI for small business: where a smaller manufacturer or distributor should start
AI for a small business pays off first on one job that takes staff time every week and runs on records you already keep. This guide is written for manufacturers and distributors with roughly 5 to 200 people. It covers where AI helps first, how each part of the cost is charged, how to keep company data safe, which government programs help as of September 28, 2026, and the first steps to take.
Where small businesses stand with AI
In Statistics Canada’s survey for the second quarter of 2026, 19.2% of businesses used AI to produce goods or deliver services in the previous 12 months, up from 6.1% two years earlier. In wholesale trade, 7.9% did. Among businesses with 5 to 19 employees, 41.0% said AI is not relevant to them, and among those with 20 to 99 employees, 34.3% said so.
The same survey shows what holds smaller firms back. Cost was a barrier for 15.1% of businesses with 20 to 99 employees, and cybersecurity or privacy concerns were a barrier for 22.3% of them. In manufacturing, 12.0% of businesses named a lack of skilled workers. Among businesses that used AI, the most common uses were data analytics (36.6%), text analytics (34.5%) and virtual agents or chatbots (28.2%), and 32.0% gave their existing employees AI-related training.
Where AI helps a smaller manufacturer or distributor first
The best first job for AI is office work that repeats every week and ends in a record someone already checks. The table lists jobs of that kind in a plant or a distribution business. In each one, AI drafts the work and a person on your team approves it before anything is sent or saved.
| Job | What AI drafts | What it reads | Guide |
|---|---|---|---|
| Order entry | The sales order, keyed from a customer’s emailed purchase order | Email, PDF purchase orders and the ERP’s item and customer lists | Document extraction |
| Quotes | A priced quote, from comparable past jobs and current material costs | Past quotes, job history, drawings and purchase records | AI for manufacturing |
| Supplier invoices | A match between each invoice, its purchase order and the receipt, with the differences flagged | Invoices, purchase orders and receiving records | AI invoice processing |
| Purchasing | A comparison of supplier quotes and a draft purchase order | Supplier quotes, price history and stock levels | AI in procurement |
| Questions about the business | An answer in plain language, with the record it came from | The ERP, the shared drive and spreadsheets | AI for ERP |
| Inventory | Reorder points, slow-moving stock and a list of what to count | Sales history, stock levels and lead times | AI for inventory management |
Pick the job with the clearest owner and the cleanest records. The AI readiness assessment scores both in twelve questions, and AI implementation covers what happens once a job is chosen.
Jobs to leave for later
Some uses of AI need data a small plant may not collect yet. Predictive maintenance needs sensor or machine data over time, and predictive maintenance covers what that takes. Industrial AI in a small plant separates the projects that need sensors and a capital budget from the ones that read records the plant already keeps. For a first project, the second kind needs no new equipment.
What it costs to try, and how each part is charged
The cost of AI comes in parts, and each part is billed a different way. The table shows how each one is charged. The cost of AI gives the formula for each part and a worked example, and Claude API pricing covers the rates for one provider’s models.
| Part | How it is charged | What to watch |
|---|---|---|
| Seats on a business plan | Per user per month. Anthropic, for example, charges a Claude Team seat per member per month, billed monthly or annually, with a minimum of two members. | You pay for a seat whether or not the person uses it |
| API usage | Per million tokens, with input and output priced separately. A token is a small piece of text, often part of a word. | Long documents, retries and the model you choose |
| A model on your own server | A purchase, or an hourly rate if rented. DigitalOcean prices its GPU servers per GPU per hour and bills a powered-off server until it is destroyed. | A rented server bills until you delete it |
| Your staff’s time | Your own payroll, for setup, reviewing the AI’s drafts and upkeep | The review step stays after launch |
| A builder or adviser | A project quote or an hourly rate. ThriveAI builds the first tool for a fixed price, in weeks. | What you keep if you stop after the first stage |
Running a model on your own hardware is covered in local LLM, and the business plans are compared in AI workspace.
Put one job on the table
Tell Derik which job takes your team the most time each week and which systems it touches. He will tell you what it takes to try it on your own records.
Start a conversationHow to keep company data safe
The Canadian Centre for Cyber Security’s guidance on generative AI gives the first rule: “Avoid providing PII or sensitive corporate data as part of the queries or prompts.” PII is personally identifiable information. The same guidance tells organizations to secure accounts with multi-factor authentication, to choose vendors carefully, and to set up a process for reviewing what AI produces.
The account staff use decides what the vendor may do with the data. Anthropic says that by default it will not use inputs or outputs from its commercial products, such as Claude for Work and its API, to train its models, and its consumer plans are covered by separate rules. Staff who use personal accounts at work fall outside your company’s settings, and shadow AI covers how to find them.
Put staff on business accounts that the company controls. Turn on multi-factor authentication. Write down which data may go into which tool, starting from the AI policy template. Keep a person’s approval on anything sent to a customer or saved in the ERP. Decide where your data may be stored before you connect a system.
For the last rule, data sovereignty in Canada covers what Canadian law and customer contracts ask about where data sits, private AI for business compares the ways to keep AI on your own data, and secure AI at work lists the settings to check in each tool. How approvals work is covered in human in the loop, and the wider picture is in AI security.
Government programs that help with the cost
Several federal and provincial programs help a small business adopt AI or new technology. Their status changes often, so the table gives each one’s status on September 28, 2026, taken from the program’s own page. The federal programs that fund data centres and AI compute are covered in sovereign AI in Canada.
Programs across Canada
| Program | What it offers | Who it is for | Status on September 28, 2026 |
|---|---|---|---|
| BDC LIFT | Advice and loans from the Business Development Bank of Canada. Loans range from $25,000 to $5 million, with preferential rates when Canadian suppliers provide or integrate the technology. | Canadian-based businesses with at least $1 million in annual revenue, for the AI path. A BDC plan is required. | Open. BDC launched LIFT on April 24, 2026, with $500 million earmarked. |
| NRC IRAP | Advice, connections and, in some cases, funding from the National Research Council. Its AI Assist program supports SMEs building generative AI and deep learning into their core products and services. | Incorporated, for-profit businesses in Canada with up to 500 employees that develop and commercialize technology-driven products or services. It does not fund day-to-day operating costs. | No closing date posted. Eligibility is checked with an IRAP advisor. |
| Canada Digital Adoption Program | Grants to help small businesses sell online and adopt new technology | Small and medium-sized businesses | Ended. ISED’s 2024-25 reporting lists both of its streams with an end date of March 31, 2025. |
Programs in Ontario and Quebec
| Program | What it offers | Who it is for | Status on September 28, 2026 |
|---|---|---|---|
| Regional Artificial Intelligence Initiative, Quebec | Interest-free repayable support up to 50% of authorized costs, from Canada Economic Development for Quebec Regions | SMEs ready to adopt AI technologies or solutions, among others | Accepting applications. The initiative runs until March 31, 2031. |
| Regional Artificial Intelligence Initiative, southern Ontario | Funding from FedDev Ontario. Its AI adoption pillar funded businesses adopting or integrating AI to improve efficiency and productivity. | Businesses in southern Ontario | Not accepting applications. The last intake closed on December 20, 2024, and FedDev says details of the next intake will be shared once available. |
| Advanced Manufacturing and Innovation Competitiveness stream (Ontario) | Support for capital equipment, technology adoption and skills development, up to 15% of eligible project costs, as loans, with grants only in specific cases | Advanced manufacturers with at least three years of operations and 10 employees, investing at least $500,000 and creating or upskilling at least five jobs | Open. Application period eight closes on November 5, 2026, and period nine opens January 28, 2027. |
| ESSOR, component 1 (Quebec) | Support for a digital diagnostic, a digital plan and system selection, including AI where it applies: up to 50% of eligible expenses, to a maximum of $20,000 | Businesses with 250 employees or fewer and at least $2.5 million in revenue | Open. The program framework (in French) allows applications to be authorized until March 31, 2027. |
Two of these programs start with a plan. BDC’s AI path requires a plan built with BDC Advisory Services, and ESSOR’s component 1 pays for a digital diagnostic and plan. If you are in Quebec with at least $2.5 million in revenue, the diagnostic can help you decide where AI fits first, with up to half of its eligible cost covered to the program maximum.
First steps
- Pick one job. Choose work that takes staff time every week, and name the person who owns the result.
- Check the records. List the systems the job touches and confirm that someone inside can export a year of their records. The AI readiness assessment covers these checks.
- Set the rules. Move staff onto business accounts, turn on multi-factor authentication and write a short AI policy.
- Try it on real examples. Run the job with a business plan on examples that hold no personal or confidential data, and time the work before and after.
- Decide where the data may sit. Settle this before you connect the ERP or the mailbox, using data sovereignty in Canada.
- Check the programs. See whether LIFT, IRAP, ESSOR or a regional initiative fits before you sign a contract, because some require a plan first.
If your team needs to learn the tools first, see AI training. For help choosing the first job and planning the rest, see AI strategy and AI consulting.
How ThriveAI helps
ThriveAI is an AI engineering company in Ottawa that serves smaller manufacturers and distributors in Ontario and Quebec. It builds private AI systems on your own data and works hands on with your team. Derik Lawlis, the founder, leads every project and stays close to the build.
The work starts with a prototype: ThriveAI picks the one job costing you the most and builds it for a fixed price, in weeks. It runs on your own systems, and if you stop there it is yours to keep. The platform ThriveAI builds on is designed to keep each client’s data on its own server in Canada. You choose the model that reads it: one that runs on that server, or a hosted model under a written zero data retention agreement. A hosted model may process requests outside Canada, so the contract names the model and its service tier. Nothing is sent or saved in your systems until the person responsible approves it.
Working sessions run on site with your team, in French or English. For the company and how a project runs, see About ThriveAI, and for every guide on the site, see all guides.