How to prioritize AI projects in your SME

A simple scoring model for Canadian owners: effort, risk, data readiness, and return — before buying software.

Most SMEs do not lack AI ideas. They lack a ranking system that prevents the first project from being too large, too vague, or disconnected from how staff actually work.

Score each candidate 1–5 on four dimensions

• Return — hours saved, error reduction, faster cash collection
• Effort — integrations, change management, training time
• Data readiness — are inputs structured and available?
• Risk — customer impact if the automation is wrong

Favor contained workflows first

Internal reporting, intake triage, and quote preparation usually beat “AI everywhere” mandates. Defer projects that require replacing core systems until you have delivery capacity.

Document the winner

Grant officers and lenders expect a written scope: problem, solution, timeline, budget, risks. That documentation is exactly what an AI Readiness Audit delivers.

Pair the audit with our Canada Grant Finder when funding may offset part of the cost.