What we deliver
AI is genuinely useful in a small business — and also genuinely easy to overspend on. Most Canadian SMBs we talk to have heard the Copilot pitch, watched a demo, and walked away unsure where the actual return is.
We help you separate the demos from the deliverables: pick the AI tools that fit your workload, get them configured properly, train the people who’ll use them, and measure whether they earn their keep. No Powerpoint roadmaps, no AI-strategy theatre.
Where we usually start
A free 30-minute call, then a focused AI use-case workshop:
- What does your team spend the most repetitive time on today? Some of it is genuinely worth automating; most of it isn’t.
- Which Microsoft AI features are already in your existing licences (and how many of them is anyone actually using)?
- Where would a new AI tool need access to your data — and is that data ready to be seen?
- What’s a sensible budget in CAD over the next 6–12 months, and what would the return on the first dollar look like?
You leave with a written summary, a prioritised use-case list, and an honest read on whether the value is there yet.
Common engagements
Microsoft 365 Copilot rollout. The most-requested AI engagement — and the one where SMBs most often overpay. We help you pick which seats actually need a Copilot licence at $40+ CAD/user/month, run a proper readiness check on SharePoint and Teams permissions (because Copilot’s grounding is only as clean as your tenant), and structure training so the licences don’t sit idle.
Power Platform AI. AI Builder, GPT actions in Power Automate, and Copilot Studio agents — the under-marketed half of Microsoft AI that often delivers more practical value per dollar than full Copilot for a small business.
Custom Azure OpenAI work. When the off-the-shelf assistants don’t quite fit your workflow, we build small, well-scoped Azure OpenAI integrations — usually as Power Platform extensions or .NET line-of-business components. Always with an eye on cost-per-call, not just the demo.
AI policy and guardrails. Before you let AI tools loose on your data, the boring stuff: who can use what, what data shouldn’t go in, and how to keep your PIPEDA obligations intact. Less exciting than the demos, much more important.