A 25-question readiness check to see where you stand with AI adoption, assess the process that costs you the most and spot the projects that are truly worth doing, with the financial support available in Quebec.

About 7 minutes · 7 sections · 25 questions

Inspired by the OECD taxonomy of AI adoption by SMEs. The result is indicative; it does not replace professional advice.

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Section 1 of 7

Company profile

To match the opportunities and support to your situation.

Industry

Construction / building Manufacturing Professional services Information technology Health / social services Finance / insurance Retail Transportation / logistics Agri-food Media / creative Other

Size

Micro (fewer than 10) Small (10 to 49) Medium (50 to 249)

Region

Outaouais Elsewhere in Quebec Outside Quebec

Section 2 of 7

Digital foundations

The tools, people and data AI will rely on.

Digital tools in place

Digital tools in place (optional)

Check all that apply.

Cloud ERP / CRM Analytics / BI E-commerce Cybersecurity Office suite (M365 / Google) IoT / sensors

IT staff

None Outsourced Part time Full time

Investment in AI training

None Planned Informal Formal

How you collect data

Not systematic Ad hoc Partly organized Well organized Structured and centralized

Section 3 of 7

Current use of AI

What you already do with AI, and for how long.

Where are you with AI?

No use Tried, did not continue Exploring Active use

Most advanced type of AI you use

None AI features built into your tools Standard tools (ChatGPT, Copilot...) Customized / custom-built tools Autonomous agents

For how long?

We do not use AI yet Less than a year 1 to 2 years 2 to 4 years More than 4 years

Adoption stance

Experimental Routine Committed Strategic

AI investment plans

None Modest Significant Uncertain

Section 4 of 7

Scope of integration

How far AI reaches into your operations and decisions.

Extent of use

No use One isolated task One department Several teams The whole company

Categories of tasks supported (or targeted)

Categories of tasks supported (or targeted) (optional)

Administration HR Finance Customer relations Operations Strategy

Role of AI in your decisions

None Informational Operational Strategic

AI governance

No guidelines In development Informal Documented and applied

Risk assessment

None General awareness Informal Formal

Section 5 of 7

Obstacles and support

What holds you back and the kind of help that would be useful.

Your main obstacles (max 3)

Your main obstacles (max 3) (optional)

Cost Skills / talent Privacy / Law 25 Data quality Regulation Integration with systems Unclear use case Trust / reliability Awareness No major obstacle

Up to 3 choices.

Types of support you are looking for (max 3)

Types of support you are looking for (max 3) (optional)

Financial (grants) Training Advice / coaching Regulatory guidance Technical infrastructure Peer networks

Up to 3 choices.

Section 6 of 7

Your priorities

The results you want to get first.

Where would you most like AI to help? (max 3)

Save time on administrative work See my numbers and performance more clearly Find information quickly Serve my customers better Reduce errors and manual work Forecast and anticipate Protect my data / stay compliant

Up to 3 choices.

Section 7 of 7

One process, in practice

The process that frustrates you the most, assessed on its own.

Think of the process that frustrates you the most. Which one?

Reports and tracking the numbers Bids and quotes Invoicing and administration Answering customer questions Finding information internally Planning and scheduling Another repetitive process

If you chose "Another repetitive process", describe it in one sentence.

If you chose "Another repetitive process", describe it in one sentence. (optional)

How much team time does this process take each week?

Less than 2 hours 2 to 5 hours 5 to 15 hours More than 15 hours

How often does this process come up?

A few times a year Every month Every week Daily or nearly daily

Is the information it needs already digital and accessible?

Yes, in our systems Partly No, it's on paper or in people's heads

If this process gets it wrong, what does it cost?

Little consequence Lost time Money or a customer A legal or safety risk

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