Applied AI for SMEs: 5 concrete use cases and how to start safely

Everyone is talking about artificial intelligence, but many organizations don't know where to start, or worry about the confidentiality of their data. The good news: the most profitable AI projects are rarely the most spectacular. They are focused tools that take a repetitive task off your teams' plates.

5 realistic use cases

1. Extracting information from documents

Invoices, purchase orders, intake forms, résumés: AI can read a document, extract the useful fields and send them to your system. A person validates instead of retyping everything. It is often the most profitable first project.

2. An assistant for your internal documents

Policies, procedures, technical guides, agreements: an assistant answers employees' questions and cites the exact source. New hires become autonomous faster, and experts are interrupted less.

3. Sorting and answering incoming requests

Emails, forms, support tickets: AI classifies requests, flags urgency, drafts a reply and routes it to the right person. A human keeps the final say.

4. Summarizing and drafting

Meeting notes, case summaries, first drafts of reports or proposals: AI produces a structured draft that the team reviews and adjusts.

5. Analyzing your data in plain language

"Which clients haven't ordered in six months?" Instead of waiting for a report, a manager asks the question and gets a table, based on data the tool is allowed to access.

Getting started safely, in four steps

1. Pick one measurable use case: a frequent, time-consuming task where you can count hours saved or errors avoided.
2. Run a short proof of concept: a few weeks, on real but limited data, with the people who will use it.
3. Govern the data from day one: what information the tool can see, where it is processed and stored, and who can access the results. Under Québec's Law 25, a system project that processes personal information requires a privacy impact assessment from the start.
4. Integrate with your existing tools: a good AI tool doesn't live in a separate tab. It fits into your business software, your email or your portal.

Pitfalls to avoid

• Starting with the technology instead of the problem.
• Sending sensitive information to a consumer tool without a data processing agreement.
• Automating decisions without human review when they affect your clients or employees.
• Skipping measurement: without a baseline, you can't prove the value.

Where to start?

A use-case workshop of a few hours is often enough to spot the two or three most profitable opportunities in your organization. Our team takes you from idea to production, with data hosted in Canada and an approach that complies with Law 25.