01
Delegation
Deciding what to hand off to AI, at what cost of error, and how much autonomy to give it.
Improve AI proficiency across your workforce.
Calibr measures AI proficiency through work simulation. Use it to hire the right people - and upskill the ones you already have.
Task brief
Draft an exec summary
Review the source documents and write a 200-250 word summary for the CEO. Surface the key risk and your recommendation.
board-memo.pdf
nps-verbatims.csv
Workspace
Q3 Executive Summary
For: CEO · 1 page
Revenue beat plan in Q3, but the underlying mix signals a structural risk.
The primary concern is pricing pressure in the mid-market. Win-rates have declined since competitors repriced in August.
AI assistant
7 turns
Summarise the pricing pressure evidence from the memo.
Win-rates declined after competitors repriced in August. Churned accounts consistently cite value concerns.
Turn that into one sentence for the risk heading.
Ask the assistant…
Scorecard
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/ 100
Illustrative scores – not real data.
How it works
One simulation engine.
Two ways to raise the bar.
We simulate real work with real AI tools. Whether evaluating employees or candidates, you’re getting real signal.
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01
Baseline your team
Run work simulations on existing employees to map current AI proficiency across the organisation.
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02
Identify the gaps
See exactly where each person and team falls short across five dimensions.
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03
Targeted development
Employees get individualised feedback and development modules - for effective upskilling.
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04
Measure progress
Re-assess regularly to track real capability growth, not course completion.
What we measure
Five dimensions of AI use -
measured and scored.
These are the capabilities that separate high performers from the rest. Based on research from leading AI labs - refined by Calibr.
02
Description
Instructing AI clearly - goal, format, audience, and how it should approach the task.
03
Discernment
Critical evaluation of AI outputs - knowing when to trust, push back, or redirect.
04
Deliverable
Quality of the final output - clarity, completeness, and fitness for purpose.
05
Efficiency
Deliverable quality per unit of time and tokens spent getting there.
The problem
Most companies have no idea how AI-proficient their workforce actually is.
AI proficiency is the most important skill in the workplace. Neither your internal training or hiring process were designed to maximise this capability.
What companies measure today
- IQ and logical reasoning
- Personality traits and cultural fit
- Course completions and certifications
- Self-reported AI tool familiarity
What actually drives AI productivity
- Curiosity and creative problem-solving
- Problem decomposition and structure
- Judgement and critical evaluation of AI output
- Real tool craft and workflow design
Want to see what your team’s AI proficiency actually looks like?
We’re working with a small set of design partners to pilot Calibr. Tell us your use case and we’ll set it up.