AI Readiness Checklist for Small Organizations

Why Readiness Matters

Most AI implementation failures are not caused by choosing the wrong tool. They are caused by organizations that were not ready to adopt AI in the first place — organizations with inconsistent data, unclear processes, insufficient staff capacity, or no governance framework.

This checklist is not about whether AI is right for your organization in general. It is about whether your organization has the foundations in place to adopt it responsibly right now. If gaps exist, this checklist helps you identify what to address first.

Data Readiness

AI tools work with data. If your data is inconsistent, incomplete, or poorly organized, AI tools will produce unreliable outputs. Data readiness is often the most significant gap for small organizations.

Checklist: Data Readiness

• We know what data we have and where it is stored
• Our data is consistently formatted and organized
• We have a process for keeping data current and accurate
• We know which data is sensitive or confidential
• We have documented data retention and deletion practices
• We understand what data any AI tool would need access to
• We are comfortable with where that data would be processed and stored

Process Maturity

AI tools automate or assist with processes. If your processes are not clearly defined, AI will automate inconsistency rather than efficiency.

Checklist: Process Maturity

• The process we want AI to assist with is clearly documented
• Staff follow the process consistently today, without AI
• We can describe what a good output looks like for this process
• We have a way to measure whether the process is working well
• We have identified who is responsible for reviewing AI outputs
• We have a plan for what happens when AI produces an incorrect output

Staff Skills & Capacity

AI tools require human management. If your team does not have the capacity or skills to configure, use, and oversee an AI tool, the tool will not deliver value.

Checklist: Staff Skills & Capacity

• At least one person in our organization has time to manage this tool on an ongoing basis
• Staff who will use the tool are comfortable learning new software
• We have a plan for training staff before rollout
• Staff understand that AI outputs require human review
• Leadership supports the adoption and has communicated this clearly
• We have addressed staff concerns about how AI affects their roles

Budget Planning

A realistic budget accounts for more than the subscription fee. See The Hidden Costs of AI for a full breakdown.

Checklist: Budget Planning

• We have budgeted for the full annual licensing cost at expected user count
• We have estimated the staff time required for implementation
• We have estimated the staff time required for initial training
• We have budgeted for ongoing maintenance time each month
• We have considered what consulting or professional services may be needed
• We have a plan for what happens if costs exceed our initial estimate
• We have defined a minimum acceptable return that would justify the investment

Privacy Considerations

Using AI tools in a Canadian organizational context creates privacy obligations. These vary depending on the nature of your work and the data involved.

Checklist: Privacy

• We have reviewed the AI vendor's privacy policy and data processing terms
• We understand where our data will be processed and stored geographically
• We have determined whether any personal information will be shared with the tool
• We have assessed whether this use is consistent with our existing privacy policy
• We have considered whether we need to update our privacy policy or notices
• We have identified whether any sector-specific privacy rules apply (healthcare, legal, financial, etc.)
• We have a process for responding if a privacy incident occurs involving the AI tool

Governance Requirements

Governance means having clear rules, responsibilities, and oversight for how AI is used in your organization.

Checklist: Governance

• We have a written policy (or are developing one) governing AI tool use
• The policy addresses what data may and may not be shared with AI tools
• The policy addresses how AI outputs must be reviewed before use
• The policy addresses what decisions may not be delegated to AI
• A specific person is responsible for overseeing AI use in our organization
• We have a process for reviewing and updating our AI governance as tools and needs change

How To Use This Checklist

After working through each section, review your results:

• Most items checked. Your organization has strong foundations. You are likely ready to evaluate specific AI tools for your identified use case.
• Several gaps in one area. Address that area before moving forward. For example, if data readiness has multiple gaps, focus on organizing your data first.
• Gaps across multiple areas. Consider a phased approach. Build the foundations first — data organization, process documentation, governance basics — before evaluating AI tools.

This checklist is a starting point, not a final assessment. If you want a more structured evaluation, our AI Readiness service provides a guided assessment tailored to your organization.