Self-Assessment Tool

AI Readiness Assessment: 10 Questions for Your Business

A practical self-assessment for small and medium businesses. Takes about 10 minutes. Walk away with a score, a tier (Ready Now / Ready With Planning / Need Pre-Work / Not Ready Yet), and a personalized 90-day action plan.

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10 questions
~10 minutes
Free, no signup

How to Use This Assessment

1. Answer Honestly

Answer each question honestly about where your business is today — not where you hope to be.

2. Tally Your "Yes" Answers

Count how many "Yes" answers you have. (Count "Partially" as 0.5 if you want to be precise; otherwise round down.)

3. Match Your Tier

Match your score to one of four tiers below, and follow the recommended next step for your situation.

The Assessment

The 10 Questions

Work through each question in order. Each card includes why the question matters and a concrete example to help you answer.

01 / 10 Foundations

1. Data Readiness

Do you have digital records of your key business processes?

Why this matters

AI needs data to work with. If your customer interactions, invoices, schedules, or orders live only on paper or in people's heads, an AI project will need a data-capture foundation first. Good news: most cloud apps you already use produce usable data automatically.

Example

If your customers email inquiries that you track in Gmail/Outlook, customers pay via Stripe or QuickBooks, and you document work in Google Docs or Microsoft 365, you already have strong data foundations.

02 / 10 Foundations

2. Process Documentation

Can you draw a flowchart of your 3 most important business processes?

Why this matters

AI automates processes. If you cannot clearly describe how work actually flows — from intake to delivery to billing — AI will only automate ambiguity. Documented processes are the single strongest predictor of successful AI implementation.

Example

"A customer fills out our contact form → the request goes to Sarah → Sarah qualifies it → qualified leads go to Mike → Mike sends a proposal within 48 hours." That level of detail is exactly what you need.

03 / 10 People

3. Team Readiness

Has your team expressed curiosity OR concern about AI?

Why this matters

Both curiosity and concern are fine. Apathy is the killer. AI projects succeed when at least one or two team members want to engage, and fail silently when everyone shrugs. Concern is often a sign of genuine engagement — these are the people who will ask hard questions that protect the project.

Example

If someone on your team has tried ChatGPT for work, asked you about AI policies, or worried aloud that AI might change their job — that is engagement. Talk to them first.

04 / 10 Resources

4. Budget Reality

Can you commit $5,000–$25,000 per year to a focused AI initiative?

Why this matters

This range buys a focused assessment, one or two well-scoped automations, and enough consulting time to set you up for compounding returns. Below $5K usually means DIY (fine, but a different path). Above $50K typically means you're ready for a bigger engagement.

Example

Our most common starter engagement is $8K–$15K for a strategy assessment plus a single automation project with measurable ROI in 90 days.

05 / 10 Strategy

5. Problem Clarity

Can you name the one process most draining your team's time right now?

Why this matters

AI should start with your biggest pain. If you cannot name the single most valuable process to fix, AI is probably not the right first move — strategy is. The most successful AI projects start with a specific, high-pain, high-volume task.

Example

"Our bookkeeper spends 12 hours a week on invoice data entry." That is a perfect first automation.

06 / 10 Technology

6. Tool Stack Modernity

Do you use modern SaaS tools (Google Workspace, Microsoft 365, Slack, HubSpot, etc.)?

Why this matters

Modern SaaS tools have APIs that AI systems can read and write to. Legacy on-prem systems can still work with AI, but they need integration middleware, which adds cost and complexity. If your stack is already cloud-native, most AI automations are weeks of work. If it's on-prem, they're months.

Example

If your team lives in Google Workspace, QuickBooks Online, HubSpot, Slack, and Stripe — you are in the easy tier.

07 / 10 Urgency

7. Growth Pressure

Are you growing faster than your operational capacity?

Why this matters

Growth pressure creates urgency and funds AI investment. Businesses at a steady state often struggle to justify AI spend because existing capacity feels fine. Growing businesses hit bottlenecks, and AI automation is one of the few ways to scale without proportional hiring.

Example

If you turned away work last quarter, are hiring faster than you'd like, or your team is working evenings and weekends — growth pressure is real.

08 / 10 Urgency

8. Competitive Pressure

Are competitors in your industry already using AI?

Why this matters

Competitive pressure is the single biggest forcing function for AI adoption in 2026. Even if you are not ready internally, if competitors are using AI to serve customers faster, market smarter, or price more dynamically, you may not have the luxury of a slow adoption curve.

Example

If you have noticed a competitor answering customer inquiries at midnight, delivering personalized proposals, or publishing content at a surprising clip — AI is likely in the mix.

09 / 10 Leadership

9. Leadership Time

Can leadership dedicate 2–3 hours per week to an AI project?

Why this matters

AI projects succeed or fail based on leadership engagement. Two to three hours per week — not per month — of the CEO, COO, or department head is the difference between an AI project that transforms the business and one that quietly fizzles. Delegating AI strategy entirely to IT or an outside vendor is the #1 predictor of failure.

Example

A weekly 30-minute steering meeting and a few hours reviewing drafts, playing with prototypes, and giving feedback. If that is not available right now, delay the project until it is.

10 / 10 Compliance

10. Risk Tolerance

Is your industry free from heavy compliance constraints (HIPAA, FINRA, SOC 2, attorney-client privilege)?

Why this matters

Regulated industries can absolutely use AI, but the path is different. You need vendors with BAAs (for HIPAA), privacy reviews, audit trails, and careful vendor selection. If the answer is no, you are not disqualified — you just have extra guardrails. If the answer is yes (no heavy compliance), your AI path is much simpler.

Example

A general contractor, a marketing agency, or a retail business has minimal compliance overhead. A medical practice, law firm, or financial advisor has significant compliance overhead.

Your Results

How to Score Your Assessment

Count how many "Yes" answers you have. (Treat "Partially" as 0.5 if you want to be precise; otherwise round down.)

1

Ready Now

8–10 "Yes" answers

What this means

You have the data, processes, team, and budget to move quickly. Most businesses at this tier see meaningful ROI within 90 days.

Recommended next step

Schedule an AI strategy assessment. Have one specific process in mind to discuss.

Schedule a Strategy Call
2

Ready With Planning

5–7 "Yes" answers

What this means

You have most of what's needed. The missing pieces are usually either process documentation, budget clarity, or team alignment — all solvable in weeks.

Recommended next step

A process mapping engagement to close the gaps, then move to implementation.

Explore Process Mapping
3

Need Pre-Work

2–4 "Yes" answers

What this means

AI can still work for you, but foundations first will multiply the results. Usually the pre-work takes 30–60 days and dramatically improves AI project outcomes.

Recommended next step

Focus on data capture, process documentation, and picking one clear use case before any AI investment.

Read the Beginner Guide
4

Not Ready Yet

0–1 "Yes" answers

What this means

AI is not the right first move. That is okay — most businesses go through a foundational phase before AI makes sense. The best next step is usually modernizing your tool stack, documenting your processes, and getting clearer on your top business problem.

Recommended next step

Work on operational foundations first. We are happy to give a no-cost 15-minute conversation to point you in the right direction.

Book a Free 15-Min Chat

What Do You Want to Do Next?

Pick the path that best matches where you are today.

I want to talk it through

Book a free 30-minute strategy call and walk through your results with a consultant.

Book a strategy call

I want to learn more first

Read the Complete Guide to AI for Small Business. Practical, no-hype, actionable.

Read the guide

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 Strategy

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 Reference

Browse AI Glossary

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Ready to discuss your results?

Book a free 30-minute strategy call and walk through your assessment with Ryan Gyure.

Book a Free Strategy Call Read Our Guides