You want to know where AI can help
You hear about it everywhere, but you’re not sure which tasks in your business are a good fit, or where to begin.

Useful AI, with a person making the call. Our AI consulting helps small businesses put AI to work in practical ways: find the tasks where it can help, set it up in your tools and train your team to use it with good judgment. Permitted information and human approvals are defined before anything goes live.
AI gets a lot of attention. The right starting point is still a concrete question about your work.
You hear about it everywhere, but you’re not sure which tasks in your business are a good fit, or where to begin.
Some people use it every day, others never. Nobody is quite sure what information can be shared with it or how to check its answers.
Sorting requests, drafting first versions, finding information in your documents: AI assistance could prepare the work, as long as someone approves it.
Options keep multiplying and the terms blur together. You want a clear opinion before paying for a subscription or starting a project.
Three areas you can hand us separately or one after another: audit and strategy, integration and implementation, team training. Each project is scoped before work begins.

Review your tasks, tools and information with the people involved, identify useful applications and the ones to avoid, then rank them in a roadmap by value and effort.

Set up AI assistance in your tools for a defined task: categorizing a request, drafting a reply, summarizing a document or finding permitted information. Integrating ChatGPT into your tools, for example, falls under this area. Someone approves the result before it’s used.

Configure an assistant or agent for a well-defined task, with the actions it may take, the information it can access and the points where it must stop and ask for approval. A chatbot for your customers also falls under this area, within the framework described below.

AI training for your business, as a team, one-on-one or in a small group, built around your tasks, for example training on ChatGPT or Copilot: giving clear instructions, checking an answer and knowing what not to share with a tool.
The same framework applies to all three areas. It’s agreed with you before anything is set up, then checked during testing.
We agree on what information the tool may use, what it must never see and which accounts it runs in.
It suggests a category, a draft or an answer based on that information. An unclear case is flagged rather than guessed.
The person responsible reads it, edits as needed and decides. No commitment is made without them, and no draft goes to a customer without their approval. A chatbot that answers your customers stays within approved information, hands over to a person when it can’t answer, and its log is reviewed.
Common cases and exceptions are tested before going live. Anything that doesn’t work well enough stays manual.
The steps are the same for an audit, an integration or a training program; timing depends on scope, the number of people and the access available.
Walk through your tasks, tools, internal rules and expectations with the person responsible and the people who do the work.
A proposal sets out the areas selected, permitted information, human approvals, deliverables, schedule, price and expected subscriptions, along with who pays for them.
Configure the tool in accounts held in your business’s name, using the access you grant us, or prepare a training program and exercises based on your tasks.
Test on representative cases, exceptions included, or have your team practise on approved examples. Fix issues before going live.
Hand over the documentation, materials and checks in place, so your team knows how to use, check and stop the tool. Ongoing support can be agreed separately.
The exact list depends on the areas selected.
Tasks reviewed, information used and where AI can help, or not.
Applications ranked by value for your business and effort required, with their prerequisites.
Target task, permitted information, human approvals and cases that stay manual. For a customer chatbot: approved information, handoff to a person and a reviewed log.
Tool configured in your business’s accounts and tested on representative cases.
Key concepts, reusable instructions, exercises and a checklist for verifying answers.
Usage, responsibilities, known limits and what to do if the tool gets something wrong or stops responding.
AI assistance prepares or suggests; it doesn’t make commitments on your business’s behalf. A chatbot can answer your customers, but only within an agreed framework: answers limited to information you’ve approved, handoff to a person as soon as a question goes beyond it, and a conversation log that is reviewed. Prices, terms and sensitive replies are passed to a person.
AI can get things wrong, and the time saved depends on the task, the exceptions and the quality of your information. We agree on tests and checks, not a projected return. If a simple rule will do, we’ll tell you.
AI tools and their subscriptions are chosen to fit your needs and listed in the proposal, along with who pays for them. Accounts are opened in your business’s name, and you give us access.
With a specific task that comes up often, rather than with a tool. An AI audit helps identify those tasks, check your information and choose a limited first trial. Training is also a good starting point if your team already uses AI without a shared approach.
A review of your tasks, tools and the information you use, to find where AI can help and where it isn’t a good fit. It ends with a prioritized roadmap. Implementation, if you want it, is a separate piece of work.
Only what you authorize, and only what the task needs. We define it with you before setup, based on the tool’s terms and your internal rules; you can exclude anything, such as personal or confidential details. We configure tools around those choices; assessing your legal obligations remains with you or your advisor.
Someone on your team, named in the workflow. Cases the tool can’t handle are flagged to them, and drafts wait for their approval before anything is sent. If a chatbot answers your customers, someone also reviews its log. Training also gives you a method for checking an answer: sources, figures, names and tone.
Yes. Automation follows fixed rules: when this happens, do that. AI assistance handles text or less predictable cases, but its output has to be checked. When a simple rule is enough, we go with it, and it falls under our CRM, integrations and automation service.
An AI agent can choose some steps and use some tools to complete a task, within defined limits. It suits few situations in a small business, and always with permitted actions, planned stopping points and human approval. Often, an assistant or simple automation is enough.
No. Scoping helps us choose a suitable starting point, for a team, one-on-one or in a small group. A team that’s just starting out and someone who uses AI daily don’t need the same program.
No tool is imposed in advance, and we have no partnership with any vendor. It could be, for example, ChatGPT or Copilot, or another tool, chosen based on the task, the access you already have, its terms of use and its cost. Subscriptions are listed in the proposal, along with who pays for them.
These are the kinds of AI projects we take on for small businesses in Quebec, in three areas: integration and implementation, team training, and audit and strategy. Someone on your team keeps the final say, and permitted information is defined before anything is set up.
Integration and implementation
Assistants and agents
Team training
Audit and strategy
Getting started
Tell us about the task or question that brings you here, the tools your team uses and whether you’re looking for an audit, an integration or training. We’ll reply with the next steps.