For Chief AI Officers

A baseline for your first 90 days, and proof that the program is moving after that: who gets results from AI, who can spread them, what stops everyone else, and who can fix it.

  • 5dimensions: Usage, Skills, Impact, Culture and Vision
  • 18barriers to AI use, each tagged with who can fix it
  • 8archetypes, for a person, a team or the whole organization
Step 1 of 5Two questions on how much people use AI, and how much they'd like to.

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 does adoption stand today?

    A baseline: the organization's level from L1 Observer to L5 Native, five dimensions from Usage to Vision, and how people spread over the levels and eight archetypes.

    360° AI Maturity Assessment

  • Who are our AI champions?

    The 360° names champions team by team, tagged with what they're strong at. AI Skills Distribution adds who volunteers to help colleagues, and with what.

    360° AI Maturity Assessment · AI Skills Distribution

  • Why isn't adoption spreading?

    The barriers people agree hold them back, the one fix each person asks for, and a verdict on whether the biggest gap is skills, conditions or motivation.

    AI Adoption Barriers

  • Who owns each fix?

    Every barrier is tagged with who can fix it: IT, leadership, managers or training. A heat map shows which departments are held back where.

    AI Adoption Barriers

  • Are people getting results, or just using AI?

    Every group placed by Usage against Impact, plus gap cards for tool access that holds people back, practices that rest on one person and sensitive-data risks.

    360° AI Maturity Assessment

  • Is the program working?

    Each 360° round is set against the last: overall maturity, people at L4–5, resistance and champions. The Barrier index and each area's share held back trend round by round too.

    360° AI Maturity Assessment · AI Adoption Barriers

Where to start

  1. 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.
  2. 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.
  3. 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.
  4. Keep pace with AI Market Pulse. About 8 minutes per person, every quarter, on that quarter's developments.
  5. 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.

Know where your team stands
before you invest more.

One week. A clear picture of your organization's
AI performance — and exactly what to do next.

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