Free AI maturity assessment
AI readiness assessment: how AI-ready is your business?
Find out in two minutes. Answer seven questions and get your AI maturity stage plus a step-by-step game plan, sequenced for your situation. No email wall to see your result.
What this assessment measures.
Most businesses already use AI somewhere, but very few have turned it into systems that do real work. This AI readiness assessment finds where you actually stand. It looks at how you use AI today, how much of your repetitive work already runs without a person, how reachable your data is, who owns automation, and whether you have a plan.
It maps you onto a simple AI maturity model with four stages, and hands back the next step that pays at your rung. Some people get told they are in good shape and do not need much. That is the honest answer when it is true.
How many people work in your business?
The AI maturity model
What each stage means, and the step that pays next.
Ad hoc
Someone uses AI to draft or summarize, when they remember. The next step that pays: turn one repeatable task into a reliable assisted task.
Assisted task
A repeatable task is partly handled, but a person still drives it. The next step: make one whole workflow run end to end on its own.
System
AI runs a full workflow without supervision. The next step: connect the systems you have and close the one edge case still costing you.
Org-wide
Several systems run across the business. The next step is integration and governance, and honestly, you may already be in good shape.
Questions
Before you start.
- What is an AI readiness assessment?
- A short diagnostic that gauges where your business stands on putting AI to real work, across a few dimensions: how you use AI today, how much already runs without a person, how organized your data is, who owns automation, and whether you have a plan. It rolls those up into a named maturity stage and a sequenced next step.
- How do I know if my business is ready for AI?
- You do not need clean data or a technical team to start. Readiness is less about having the right tools and more about having a repeatable workflow that leaks time or money. If you can name one, you are ready for a first step. The assessment points to which step pays first.
- What are the stages of AI maturity?
- Four: Ad hoc (a person uses AI when they remember), Assisted task (a repeatable task is partly handled), System (AI runs a whole workflow on its own), and Org-wide (multiple integrated systems with governance). The point is that there is a paying next step at every stage, not just the top.