Free Tool
A 5-minute assessment across six dimensions of AI readiness. Honest, opinionated, and gimmick-free.
How to use this
We'll score you on the spot, broken down by category and with a plain-language verdict. No email required.
Active commitment means budget, attention, and willingness to change. Curiosity alone doesn't ship.
Without a single owner empowered to make calls, projects stall in committee.
Concrete targets — revenue, cost, hours saved — separate AI projects from AI hobbies.
AI is only as good as the data it works from. Messy data produces unreliable output.
Data silos and access restrictions add weeks (or months) to any AI build.
Some AI applications need a lot of examples to work; others need very little. Either way, you should know which.
If a process only lives in someone's head, you can't automate it. Documentation is the prerequisite.
AI automates rules. If every employee does it differently, there's no rule to encode.
Without baseline numbers, you can't tell whether AI moved them.
Internal capability accelerates implementation and gives you informed oversight.
AI systems need monitoring, tuning, and continuous improvement — not just a launch.
The best AI system fails if the people meant to use it won't.
AI workloads typically need cloud compute. Legacy on-prem stacks add cost and time.
AI systems touch sensitive data. Security gaps become incidents.
Most modern AI involves connecting to outside services. Closed systems are harder to extend.
The AI tool space is overwhelming. Knowing the 3–5 categories that apply to you is most of the battle.
Without one, you'll buy on demos and regret it.
AI requires real investment — tools, integration, ongoing maintenance. Underfunding kills momentum.
Answer all 18 questions to see your score.