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By the numbers

0.1% of all Claude.ai conversations map to this kind of work (Anthropic Economic Index, March 2026). For context, Australia's overall AI usage sits at 4.11× its expected level and Canada at 4.37× (with Singapore leading at 5.53×) — adoption is already well ahead of the curve, so the edge goes to whoever turns it into a concrete workflow first.

Where AI helps

• 01Build lesson plans and resources.
• 02Give students instant, cited help.
• 03Mark and give feedback faster.
• 04Turn one resource into many formats.

The durable wins augment a person rather than replace them: the agent takes the repetitive, rules-shaped work end-to-end, keeps a human approve-before-send gate where it matters, and routes anything it is unsure about to a person.

What we'd build

We start with the one workflow costing you the most time, ship it into production, and prove the hours and dollars it gives back before expanding — grounded in your data and wired into how you already operate.

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See AI across Education & Training →