Free AI readiness checklist
AI Readiness Checklist: 36 Checks Across Six Dimensions
Use it before you buy AI tools or hire someone to build. Each check maps to one of the six dimensions in our free AI readiness assessment, so you can find your gaps in ten minutes and get a scored result in five more.
By Chad Westleigh · Updated
How to use this AI readiness checklist
Work through the checklist with two or three people who see the business from different angles, such as the founder, an operations lead and whoever owns your data. Answer yes only if a check is true today, not planned. Then count the yes answers in each section: 5–6 is a strength, 3–4 is workable, and 0–2 marks the dimension to fix first.
The checklist is a conversation tool. For a scored result, take the free AI readiness assessment: about five minutes to a score out of 100, a tier, your weakest dimension and three recommended first automations.
1. Strategy and leadership checklist
AI work stalls without an owner and a goal. This dimension asks whether leadership has decided what AI is for.
- One named executive owns AI outcomes, not just AI tools
- Leadership has discussed AI in the last 90 days and agreed on a direction
- At least one leader uses AI tools in their own work every week
- There is one measurable AI goal for this year, such as hours saved on a named workflow
- The expected timeline to see results is measured in months, not years
- Someone has budget authority for a first pilot
2. Process clarity checklist
AI amplifies whatever process it's given. If a workflow lives only in someone's head, AI can't run it and nobody can check it.
- Your three most time-consuming workflows are written down step by step
- Each of those workflows has a named owner
- Inputs, outputs and handoffs are defined for each one
- Exceptions and edge cases are known and handled the same way each time
- Approvals have clear owners and don't routinely wait days
- Decisions rarely stall waiting for data someone has to pull by hand
3. Data and systems checklist
AI is only as useful as the data it can reach. This dimension covers your systems of record and how clean they are.
- Customer data lives in one CRM or customer platform, such as HubSpot, Salesforce, Klaviyo or Zoho
- Orders, invoices and other core records each have one system of record
- Reporting runs from a warehouse or analytics tool, not only from spreadsheets
- Core data is clean and structured enough that people trust the reports
- Key systems can export data or connect through an API
- You know which data is sensitive and where it is stored
4. Team adoption checklist
Readiness shows up in what people already do. This dimension asks how widely your team uses AI today.
- More than a few employees have used AI tools for work in the last 90 days
- The company pays for business-tier AI seats instead of relying on personal accounts
- You use more than one AI or automation tool, such as ChatGPT, Claude, Gemini, Zapier or n8n
- At least one team has a shared, configured AI assistant or prompt library
- A written AI acceptable use policy exists, and people have read it
- Employees have had hands-on AI training, not just a demo
5. Change readiness checklist
A capable team that resists change will stall any rollout. This dimension measures appetite for new ways of working.
- The company adopted a new tool or process in the last year without major pushback
- Leaders describe the company's appetite for change as open or eager, not conservative
- People can test a new workflow without fear of blame if it fails
- Managers will protect time for training and practice
- Wins are shared openly, so one team's success spreads to others
- Concerns about AI and jobs have been discussed honestly, not ignored
6. Automation opportunity checklist
Readiness without opportunity is wasted effort. This dimension asks whether there is enough manual, repetitive work to be worth automating.
- Your team spends more than 10% of its time on manual, repetitive tasks
- At least one function feels bottlenecked: sales, marketing, support, operations, finance or HR
- Some tasks follow clear rules and happen daily or weekly
- Data is retyped between systems somewhere in the business
- Errors or rework from manual steps cost money or customer goodwill
- You can roughly estimate the hours each repetitive workflow takes per week
How to score your AI readiness checklist
Add up your yes answers across all 36 checks. These bands roughly line up with the tiers in our AI readiness assessment, which uses its own scoring model.
| Total yes answers | Tier | What it means | Recommended first move |
|---|---|---|---|
| 0–14 | Explore | Build foundations first: one owner, a documented process, clean core data and team fluency | Start with AI training and a readiness assessment |
| 15–25 | Pilot | Ready for one or two quick-win pilots | Pick a high-volume, rules-heavy workflow and prove the numbers in 4–6 weeks |
| 26–36 | Scale | Ready for multiple workflows, agent orchestration and governance | Build a roadmap and a back-office layer |
What to do about your weakest dimension
The section with the fewest yes answers is usually the one to fix before anything else.
| Weakest dimension | First move | Where to start |
|---|---|---|
| Strategy and leadership | Name one executive owner and one measurable goal before buying tools | Executive AI Workshop |
| Process clarity | Document the three workflows that eat the most hours; AI amplifies whatever process it's given | Discovery, the first phase of our process |
| Data and systems | Consolidate customer and order data into one system of record before automating decisions | AI consulting for small business |
| Team adoption | Give the team configured AI workspaces for their real tasks, not generic licenses | AI Workspace Setup |
| Change readiness | Start with one low-risk pilot that removes a task people dislike, and let the results persuade | An AI automation quick-win pilot |
| Automation opportunity | Manual load is already low, so aim AI at growth: sales, lead intelligence and customer experience | Custom AI agents |
AI readiness assessment vs AI opportunity assessment
An AI readiness assessment asks whether the business can adopt AI: owners, processes, data, people and appetite for change. An AI opportunity assessment asks where AI would create the most value: which workflows, how many hours and how much risk. You need both, in that order, because the biggest opportunity is worth little if the data behind it is a mess.
This checklist and our free online assessment cover readiness, with a first look at opportunity. Operator Intelligence engagements usually start with a paid two-week AI readiness assessment that covers both, working alongside your team on real workflows; see AI consulting for small business. The findings feed an AI implementation roadmap with prioritized pilots, owners and a 30/60/90-day plan.
Five AI readiness gaps that stall small and mid-size companies
Each of these five gaps can stall an AI project before it starts, and each has a direct fix:
- No owner. AI is everyone's side project, so nothing ships. Name one executive owner and one goal.
- Undocumented processes. Nobody can automate, or check, a workflow that isn't written down. Document the top three before automating any of them.
- Data in too many places. Customer records split across a CRM, spreadsheets and inboxes produce unreliable AI output. Pick one system of record per data type.
- Licenses without use cases. Section's AI Proficiency Report 2026 found that 85% of knowledge workers have no value-driving AI use case. Seats help only when each person has a specific task to use them on; our AI Workspace Setup builds those tasks into configured assistants.
- Pilots with no baseline. Without measuring hours before a pilot, nobody can prove it worked. Collect two weeks of baseline data, then model the payback with our AI ROI calculator.
Frequently asked questions
What is an AI readiness checklist?
An AI readiness checklist is a set of yes-or-no checks that shows whether a business has the owners, processes, data, people and opportunities it needs before investing in AI. This one has 36 checks across the six dimensions our assessment scores.
How is the checklist different from the AI readiness assessment?
The checklist is a discussion tool you score by hand. The free AI readiness assessment asks structured questions, scores each dimension from 0 to 100, places you in a tier and recommends three first automations from our library of examples.
Who should fill in the checklist?
Two or three people who see the business differently, such as the founder, an operations lead and whoever owns your data. Disagreements between their answers are useful: they usually point to the process or data gaps worth fixing.
What if we score low?
A low score is a starting point, not a verdict. It tells you which foundation to build first, such as an owner, a documented process, clean core data or team training, before you spend money on tools or custom builds.
How long does it take to become AI ready?
It depends on the gap. Naming an owner and a goal takes a meeting, while consolidating data can take months. Operator Intelligence engagements usually start with a two-week assessment, and quick-win pilots ship in four to six weeks once foundations are in place.
Turn your checklist into an AI readiness score
The free assessment takes about five minutes, scores the same six dimensions and recommends three first automations for your business.
Take the free AI readiness assessmentGet the Operator Intelligence briefing
A short, practical note every two weeks on what is working with AI in real businesses. No spam; unsubscribe anytime.
Related
Free AI Readiness Assessment
A score out of 100 across the same six dimensions.
AI Implementation Roadmap
Prioritized pilots, owners and a 30/60/90-day plan.
AI Consulting for Small Business
Starts with a two-week AI readiness assessment.
AI ROI Calculator
Estimate annual value and payback for a workflow.
Free AI resources
Guides, comparisons, templates and tools.