Where does your team
really stand with AI? Stop guessing.
Start knowing.

Our AI/44 diagnostic measures your workforce's AI readiness: mindset, skills, judgment and the support system around them. In less time than a morning coffee break, we assess what people can actually do with AI, not just what they say, so you can prepare the right people on the right things.

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How ready are your people? And how ready do they think you are?

The AI/44 Workforce Assessment scores both: how ready your people are, and how ready they think your company is. It benchmarks every number against thousands of records in the AI/44 Index, so you can see where you're ahead, where you're behind, and where to act first.

See a sample report
AI/44 Assessment Scorecard

View one:your people.

Every person is measured on four pillars: mindset, skills, application and judgment.

The diagnostic grew out of our own research into what drives AI adoption, and what blocks it. These four pillars are what made the difference.

Pillar
The Question
What We Measure
AI Openness
Are they willing?
Attitudes toward AI at work and in life, optimism or anxiety, and how they feel about the pace of change.
AI Knowledge & Skills
Can they actually do it?
A live prompt test scored in real time, plus scenarios on confident-sounding statistics and generic output.
Ability to Apply AI
Is it showing up in their work?
How often they use AI, for which tasks, the impact, and the use cases they can see but aren’t using yet.
Awareness of AI Risks & Ethics
Do they know the red lines?
Real business scenarios on data leakage, bias in decisions about people, and acting on unverified output.

We don’t just ask nicely. We test.

Most AI assessments ask people to rate themselves. The problem is that confidence and capability aren’t the same thing. People who feel ready often aren’t, and people who doubt themselves are often further along than they think.

So we ask about attitudes and usage, then we test the two skills that matter most. Each person writes a real prompt, scored live by AI using our proprietary scoring rubric. Then they work through real business scenarios that test their judgment: when to trust an AI answer, and when to check it.

The advantage: you train people on the skills they actually lack, not the ones they say they lack. And when you re-test, you see real progress, not a change in confidence.

91% of people know a vague prompt needs rewriting. Their average prompt test score: 5.2 out of 10.

Together, these four pillars make up your workforce’s Individual AI Readiness score.

View two:your company.

The same people then tell us how ready they think your company is. It’s not an audit of your org chart. It’s whether the plan, the rules and the training are actually reaching them.

Across the AI/44 Index, only 1 in 4 employees say leadership has communicated a clear AI plan.

Area
The Question
What we ask your people
Communication
Has the plan been shared clearly?
How well leadership has communicated a clear plan for AI.
Leadership
Are leaders listening?
Whether people feel leadership understands how they feel about AI.
Governance
Do they know the rules?
How clear the policy is on using AI tools at work.
Training
Is it working?
How effective the training and coaching has been.
Culture
Is it safe to try?
Whether they can experiment and learn without fear, and what helps or blocks adoption on their team.

Your people can tell you whether the plan is clear. Whether it’s the right plan is what we work out with your leadership team, and that work becomes the backbone of your roadmap.

Together, these five areas make up your Company AI Readiness score.

Two views.One diagnosis.

Both views feed the diagnosis. Where Individual AI Readiness and Company AI Readiness land against each other tells you which problem you have, and which fix it needs. That diagnosis becomes your roadmap.

Training won’t fix a policy problem. A policy won’t fix a skills problem.

Strong org, people behind

Build Skills

The plan, policy and tools are in place. The capability to use them isn’t.

Both strong

Accelerate

Foundations are solid. Move to workflow redesign and scale.

Both weak

Foundational Reset

Start with literacy and a clear, communicated plan.

People ahead, org behind

Fix the Org

Your people are ahead of your policy, and working outside the guardrails.

Individual AI Readiness, low to high →
↑ Company AI Readiness, low to high.

Your diagnosis becomes your roadmap.

Where you start depends on your diagnosis.

Each quadrant points to a different first move. If your people are ahead of your policy, we start with governance and communication. If the company is ready but skills are behind, we start with training. If both are strong, we go straight to workflow redesign. If both are weak, we build the foundations first.

From there, the pillar scores and team-level results shape the details, so your roadmap is built around your results, not a template.

1 · Plan

Build the roadmap

We turn both views into a 12-month plan with a detailed first 90 days, worked through with your leadership team. What to fix first, who to train on what, which tools to license. Not another slide about becoming “AI-first.”

2 · Act

Do it with you

No plan survives without execution. We hold workshops to help prepare the culture, redesign your highest-value workflows, and close the skill gaps the assessment found with personalized modules in AIcademy44.

3 · Re-measure

Prove it worked

Repeat the assessment, track every person and team from one assessment to the next, and see whether your investment actually moved the score.

Close the
skill gaps.Faster with AIcademy44.

The roadmap says who needs what. AIcademy44 delivers it. Assessment results put each person in the right course, so nobody sits through training that’s too basic or too advanced.

In the initial AIcademy44 rollout, prompting skill scores rose from 49 to 77 (out of 100), and the share of people confident using AI for real work went from 40% to 74%.

Live AI feedback

Every prompt is scored, with the one fix that matters most.

Built for practice

Realistic tasks from learners daily work, not passive videos.

Mastery-based

People move on when they’ve shown the skill, not when the clock runs out.

Ready to be put to use

Prompt and agent templates they keep after the course.

Reporting

Track every learner’s progress, attempts and scores, so you can see who’s moving and who needs help.

Generative AI 101

Start here. What generative AI is, where it came from, and what it can and can’t do.

Lesson
The question it answers
What they learn
How We Got Here
Why now?
The history of AI, and why generative AI arrived when it did.
What Generative AI Actually Is
How does it work?
How it predicts its answers, why it gets things wrong, and what it can and can’t do.

AI at Work: From Prompting to Practice

Our flagship module. Build the skills to use AI effectively at work: how prompts work, how to get better results, how to spot when AI gets things wrong, and how to find real opportunities in your own role. Starts with a pre-assessment and ends with a post-assessment, so you can see the lift.

Lesson
The question it answers
What they learn
Anatomy of an Effective Prompt
What makes a prompt work?
Six parts of a strong prompting framework, practised on a real task from their realistic work tasks and scored live.
Leveling Up Your Prompts
How do you get better results?
Techniques for sharper output: giving examples, refining in rounds, and having AI ask the questions it needs.
AI as a Thinking Partner
Can AI help you think, not just write?
Using AI to brainstorm, plan, test ideas and weigh options.
Using AI Responsibly
Where are the lines?
Privacy, client data, copyright, disclosure and bias, worked through real workplace scenarios.
Finding Your AI Opportunities
Where could AI help in your role?
How to spot the tasks in their own work where AI fits, and turn one into a working prompt.
Check: Hallucinations, Bias & Verification
When should you trust the answer?
How to catch made-up facts and biased output, and verify before they rely on it.
Assistants, Automations & Agents
What’s beyond the prompt?
The difference between assistants, automations and agents, and when each one makes sense.

More modules, applied tracks by role, and how it connects to your assessment.

Find out where your
team really stands.

Tell us what you’re trying to do with AI. We’ll show you what AI/44 would measure, and what it usually finds.