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AI Literacy framework
AI is easy to access, capability is
hard
to build
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Built for real workplace application
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We help teams build real AI capabilitythrough structured practice, not theory. So people can apply it directly in their work.
Week 1
Baseline Assessment
We assess current AI capability across roles using structured criteria.
Outcome: a clear starting point and gaps identified
Weeks 2-3
AI Delegation & Description
We build how teams decide when to use AI and how to direct it effectively.
Outcome: better inputs, better outputs
Weeks 4-5
AI Discernment & Diligence
We develop judgement, risk awareness, and responsible AI use in real work.
Outcome: outputs that are trusted and usable
Week 6
Reassessment & Progress
We reassess capability and track measurable improvement across the cohort.
Outcome: visible capability uplift
Why it works
Turn AI access into consistent performance
Make better AI decisions
Know when to use AI, when not to, and how to structure tasks for it.
Direct AI effectively
Turn vague prompts into clear instructions that produce usable outputs.
Trust what gets produced
Evaluate outputs, manage risk, and use AI with confidence in real work.
Stats
We help you measure capability, not just AI usage
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Capability Score
Baseline and reassessed across all four domains Impact
Track improvement in AI Delegation, Description, Discernment, and Diligence.
Task Success Rate
% of AI-assisted tasks completed to standard
Measure whether outputs are usable without rework in real work scenarios.
Adoption Quality
How consistently AI is used correctly
Move beyond usage metrics to assess quality, judgement, and risk handling.
Blog
Making AI make sense at work
Insights
June 26, 2025
What the AI Literacy Competency Framework actually is (and why it matters)
Read now
Insights
June 26, 2025
AI training is broken... because it focuses on tools, not capability
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Ready to make AI actually work at work?
Have questions or want to explore fit?Tell us a bit about your team and we’ll show you how this works in practice.
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