The 5-Minute AI Diagnostic for Organizations.
Measure how well your people use AI - the baseline every AI transformation plan needs. Five minutes per person, one scored prompt task, results you can put in front of the board.
Every AI transformation starts with a baseline
Training bought blind is training wasted
Without a baseline, budget goes into one generic course for everyone - including the people who need nothing and the people who need much more.
Licences do not equal capability
Most organizations know exactly how many AI seats they pay for, and nothing about who can actually use them.
A plan built on self-report is a guess
Verified scores show those assumptions are wrong in both directions. Measure first, and every later decision - and re-measurement - has something to stand on.
An AI skills assessment for everyone in your organization
We measure how well your people actually use AI, then show you the result person by person and department by department.
It is a test, not a course. Each employee opens a link and spends about five minutes on it. Nothing to install, no account to create.
It checks what people do, not what they say. A short conversation covers their role and which AI tools they use. Then they write a real prompt - the instruction you type into a tool like ChatGPT or Copilot - and it gets scored.
It shows you where the risk sits. People often rate themselves higher than their work shows, and the ones most confident about AI are usually the ones already using it on real documents. Every case is flagged, so you know where to look first.
It finds the people who are already good. Most organizations have quiet AI power users and no idea who they are. The heatmap names them, so they can help the rest of the team instead of an outside trainer.
It tells you what to train, and for whom. Every person and every team gets a specific list of gaps, so effort goes where the weakness actually is instead of one generic course for everyone. We can deliver that training too, if you want it.
You get three documents. A heatmap of every department, a readiness assessment for each team, and a one-page scorecard for each person. All three are ready to put in front of a board or an HR team.
Nobody has to leave their desk. Five minutes per person, whenever they have five minutes. No workshop to schedule, no day of lost work, no department taken off the floor.
You get a baseline you can compare against. Everyone is scored the same way, so if you look again later you can see what actually changed - not just who attended what.
It gives you a record. In the EU, Article 4 of the AI Act has required AI literacy from staff who use AI since 2 February 2025, and proving it is process-based. Every diagnostic run leaves a dated, role-aware record of who was assessed and how they scored.
It is built for organizations. Transformation teams, HR and L&D leaders, and the consultants who advise them.
Your data stays yours. Prompts are used only to score skill. No model is trained on them, and nothing is shared with third parties.
Workforce AI Heatmap
Every employee, one screen. Click any tile to open that person's scorecard, or click a team name for the team's readiness assessment.
Workforce AI Heatmap
400 Employees Audit Sample · Org Average: 62/100
1. Executive & Strategy
30 people · Avg 712. Commercial & Revenue
110 people · Avg 523. Engineering & Product
120 people · Avg 814. Marketing & Growth
60 people · Avg 675. Operations, HR & Legal
80 people · Avg 41Team Level AI Readiness Assessment
Each dimension shows the spread from the team's weakest to strongest person, with the average marked. Wide bars mean uneven skill; a low average on a narrow bar means the whole team has the gap.
Team Level AI Readiness Assessment
People Ops & HR · 35 people · avg 47/100
min - max and average per dimension · 35 profiles (32 completed the prompt test) · as of 21.07.2026
Individual Competency Scorecard
One page per person: what they claimed, what the test verified, and where the two disagree.
Taylor Robinson / Senior
Competency Calibration Tracks
Self-Report vs VerifiedSelf-report (80%) vs verified task (88%).
Self-report 100%. No task verified this axis. Claimed level unconfirmed.
Low understanding of context window and token limits.
Self-report 80%. Handles business documents; data safety unconfirmed.
Amber flags mark claims the five-minute task could not verify. That is the risk list - and the first item on a training plan.
Audited AI Tool Stack
Prompt Verification Audit
"Submitted structured prompt with clear context parameters and validation rules."
Five minutes per person. A plan for the organization.
Send the link
Each employee gets a diagnostic link. Nothing to install, no account to create.
They take the test
A short intake on role and tools, then one real prompt task, scored (for example 70/100) against what they claimed about themselves.
You get three documents
The department heatmap, a readiness assessment per team, and a verified scorecard per person.
You decide
The heatmap shows where to start the rollout. The team assessments show which training to buy for which team - and which teams can teach themselves. The scorecards tell each manager where the risk sits.
The objective score comes from the prompt itself: one real task, judged on the same rubric for everyone - structure, grounding in real context, and safe handling of data - so scores compare across people, teams, and time. Everything else is self-reported, and the scorecard marks every claim the task did not verify.
Advisory firms run AITutoro as the first week of a transformation engagement: send the links on day one, walk into the first workshop with the client's heatmap. The Consultant Partner licence covers isolated client workspaces, industry benchmarks, and credit packs - ask for it in the demo form below.
Request an Enterprise Demo
Tell us your headcount and we will show you the diagnostic on your own use case.