– AI/44 ASSESSMENTS –
Our AI Rollout Diagnostic.
Data-driven evaluation of your AI readiness.
A successful AI rollout requires clarity across your entire organization — from people and processes to infrastructure and data. The AI/44 Assessment diagnostic provides deep, insights to establish your baseline, surface critical gaps, and chart a measurable path forward.
Sample Scorecard
Acme Corp — AI Readiness
Overall
+2 vs others
AdvancedCompany
-6 vs others
EmergingGenerative AI is supported and used across most teams, with clear guidance enabling confident adoption.
Use is growing beyond writing and research, though deeper use cases remain uneven across teams.
Awareness is ahead of ability — most employees know best practices but still produce weak prompts.
Teams are becoming more risk-aware, but shadow AI use and inconsistent guardrails remain a gap.
Illustrative data
– AI/44 WORKFORCE ASSESSMENT –
We Ask How They Use AI.
We Test If They’re Actually Good At It.
Knowing about AI tools isn’t the same as using them effectively. We put your workforce to the test through live prompt execution and realistic business scenarios that simulate the actual choices employees face on the job. Every response is scored against a rigorous rubric and benchmarked directly against the AI/44 Index.
TESTED SKILLS
Performance, not opinion
Individual and team scores are calibrated directly against the AI/44 Index, giving you immediate clarity on whether a 62% capability score is leading or lagging in your industry or region.
BENCHMARKED
Compared, not isolated
Individual and team scores are calibrated directly against the AI/44 Index, giving you immediate clarity on whether a 62% capability score is leading or lagging in your market.
LEARN
By business unit
Practical decision-making and prompt scores are broken down by department and role, allowing leadership to deploy targeted upskilling where skill gaps actually exist.
– FIVE PILLARS-
Five questions the AI/44 Workforce
Assessment answers
PILLAR 1
AI Openness
“Do our people actually want to use AI?”
Most leaders think their people problem is resistance. Our data says otherwise: 72% of employees are optimistic about using AI at work, and fewer than 10% are actively concerned. The issue isn’t pushback — it’s the absence of clear direction from the top.
PILLAR 2
AI Knowledge & Skills
“Do our people know how to use AI properly?”
The awareness is there — 91% know they should rewrite a bad prompt, 72% know not to trust AI output without verifying it. But when we have employees actually write a prompt, the average score is 5.2 out of 10. That’s not a mindset problem. It’s a training problem — and training problems are solvable.
PILLAR 3
Ability to Apply AI
“Are our people actually using AI to get work done?”
93% of AI users write and edit with it. 88% use it for research. But usage drops sharply after the easy wins — less than half use it for data analysis, less than 20% for coding or brainstorming. The bigger opportunity is still ahead, and the assessment shows you exactly where it lives.
PILLAR 4
AI Risks & Ethics
“Are our people using AI outside the guardrails?”
Most companies assume their people use the tools they’ve been given. In reality, 44% of workplace AI usage happens through personal accounts, outside company oversight. People aren’t abandoning sanctioned tools — they’re supplementing them. The assessment shows you where your guardrails need to go.
PILLAR 5
Company Readiness
“Do our people believe we have an AI plan?”
Only 1 in 4 employees say leadership has communicated a clear AI plan. Without direction, employees make their own judgment calls — about tools, data, and rules. That’s not an AI problem. It’s a leadership communication problem, and the assessment gives your workforce a voice on it.
– WHAT YOU GET –
Your workforce, scored.
- Overall AI readiness score, benchmarked against the AI/44 Index
- Pillar-by-pillar scores broken out by business unit
- Analysis of open-ended responses — the "why" behind the numbers
- Sanctioned vs. shadow AI usage map
- Board-ready results deck and working data
The assessment is the beginning.
Results feed directly into your AI Roadmap.