Research and competitive analysis
Using AI for synthesis and pattern-finding without losing source traceability.
Specific patterns for research synthesis, content drafting, campaign analysis, internal communications, the entry-level work that’s most exposed to automation.
The point isn’t to use AI everywhere; it’s to use it in the right places, with the right structure, on the kinds of tasks where it actually adds value.
Other fields will follow as the framework scales. Business, marketing, and comms graduates are the first wave navigating this transition.
Each pillar breaks into 4 sub-competencies. The assessment scores each one independently so you can see what to work on, not just an overall band.
Using AI for synthesis and pattern-finding without losing source traceability.
Where AI helps with first drafts, where it doesn’t, and how to keep voice consistent across iterations.
Pairing AI summarization with the metrics that actually matter to stakeholders.
Drafting for the right audience, knowing when AI can ghostwrite and when it can’t.
The full assessment has 132 of these for Pillar 05. There’s no time limit and you can pause anytime.
A teammate wants to automate a weekly report end-to-end with AI. What’s the best first step before automating?
“Proficient” is the workplace-ready bar. Most graduates leave school at Developing; recruiters look for Proficient or above.
Limited working knowledge. Outcomes are unreliable and depend on luck.
Foundational fluency. Can complete simple tasks; struggles in novel contexts.
Workplace-ready. Handles real tasks at expected quality with light oversight.
Expert practice. Sets standards for peers, anticipates failure modes, adapts quickly.
The free AI Literacy Assessment scores you independently on each pillar and shows you exactly where to focus next.