Why it matters
An AI program needs a baseline before it can show progress, and tool dashboards can't give you one: they count prompts and seats, not skills, habits or the reasons people hold back. Much of what slows adoption is about people and the conditions they work in, so that's what these surveys measure: where each team stands, why, and who can help.
Questions it answers
For whoever owns the AI program, whether the title is Chief AI Officer, Head of AI or CTO. Each question below is answered by a part of the report.
Where to start
- Set the baseline with the 360° AI Maturity Assessment. About 15 minutes per person. Engineers and business roles each get a questionnaire for their work, and both land in one report on the same scale.
- Find what's in the way with AI Adoption Barriers. About 5 minutes, anonymous with the one-click launch. It ranks what to fix first and says who owns it.
- Map who can help with AI Skills Distribution. A directory of who can do what with AI, what nobody covers, what rests on one person, and who volunteers to help.
- Keep pace with AI Market Pulse. About 8 minutes per person, every quarter, on that quarter's developments.
- Run the 360° and Barriers again after each push, and show what moved.
Decisions it supports
- Name your champions, and pair them with the teams that have none.
- Put training where skills are the gap, and fix tool access or rules where conditions are.
- Give each team its next goal. The report suggests three goals per person, team and organization, each with a near target, such as Culture 2.9 → 3.2 for a team.
- Report progress as levels and trends, round after round.
What it won't tell you
Usage from logs. Nothing is connected to your tools, so there are no prompt counts or seat reports. If you have usage dashboards, this adds the reasons behind them: skills, culture and barriers.
Verified skill. Answers are self-reported. The 360° checks each self-rating against the team, and its engineering questionnaire flags careless answers; neither catches everything.
A validated scale for barriers. AI Adoption Barriers follows a well-known model, but its statements are new, and its top-five lists always fill, even when every share is low.
Anything certain about a small group. Results show from the first answer, with no minimum group size, so one person moves a small team's numbers a lot, and a department of one is that person's answers.