Sales ops
Lead Intake Agent
Captures inbound enquiries, qualifies intent, and routes warm leads to the right owner with a clean handoff note.
For Schools
Your students are already using AI. The question is whether anyone is teaching them to use it well.
Edison partners with schools to deliver student workshops, teacher professional learning, AI literacy days, and custom programs, grounded in cognitive-science pedagogy and aligned to curriculum frameworks.
Edison AI Academy partners with schools to deliver its project-led AI curriculum on-site, for students in Years 7 to 12. Schools choose from four formats — a 4-week taster, an 8-week foundations course, a 20-week semester, or a full academic year — and from three delivery models: Edison-delivered, co-delivered with your teachers, or curriculum-licensed for your staff to run independently.
Every partnership includes complete lesson plans, student workbooks, assessment rubrics, a two-day teacher professional-development workshop, parent communication templates, and Australian Curriculum mapping across Digital Technologies and Design and Technologies. Programs follow the Edison Method and end with a student exhibition.
The Learning Engine
Edison programs are not a sequence of lessons. They are a learning engine, six parts that fit together to produce thinkers who can build with AI, defend their work, and lead.
Assembly
Students begin with questions, not templates. They learn to investigate problems before reaching for tools, the genuine intellectual engine of the program.
Students learn how to use AI systems as thinking partners, research assistants, and creative collaborators, across prompts, models, tools, and workflows.
Students move from ideas into prototypes, turning abstract concepts into tangible AI-powered outputs through structured, hands-on experimentation.
Students learn to see the whole system: users, constraints, incentives, workflows, ethics, and impact, the connective tissue that turns parts into outcomes.
Students learn to present their thinking clearly, explain how their solution works, defend their decisions, and refine in response to critique.
Every module ends with a working prototype that students can demonstrate, explain, and improve, the assembled output of the entire learning engine.
Four delivery formats, from a four-week taster to a full academic year. Each is the Edison curriculum, adapted for school timetables and class sizes.
4 weeks · 8 contact hours
An introduction to AI — what it is, how to prompt it, the ethics — and one project. Built for enrichment programs, holiday programs, or a trial run.
8 weeks · 16 contact hours
The full Generalist Bootcamp curriculum, adapted for school delivery — two projects, an introduction to Python, and a showcase event.
20 weeks · 40 contact hours
Terms 1 and 2 of the Hypergeneralist curriculum — from thinking with AI through to building with Python and APIs.
38 weeks · 76 contact hours
The complete Hypergeneralist program — four terms, six major projects, a capstone exhibition. The gold standard.
School leaders we speak with want to act decisively, but they face three structural constraints. Edison exists to dissolve them.
Most schools lack the in-house expertise to design a credible, defensible AI program from scratch, and the staffing market is thin.
Off-the-shelf tools are useful, but they are not pedagogy, assessment, or progression. Schools need a structured pathway, not just access.
Families increasingly evaluate schools on what they are doing about AI. Silence reads as falling behind. Action without coherence reads as performance.
Four delivery formats. One coherent pedagogy. Calibrated to the depth your school wants to invest in this year.
Curriculum-aligned, project-based AI workshops delivered in term-time or as enrichment cohorts, students leave with portfolio artefacts they can demonstrate.
Practical, classroom-ready PD across faculties. Sustained, tool-agnostic, human-centred, designed to build durable AI capability, not single-session hype.
Whole-school or year-group immersive days that introduce responsible AI, prompting craft, evaluation, and project-based making in one arc.
Co-designed AI learning experiences aligned to your school's strategic priorities, student profile, and curriculum frameworks.
Adoption has arrived; capability hasn't. The binding constraint in every school AI programme is not tool access - it is teacher capability, on a real cadence, in the subject each teacher actually teaches.
87%
of educators and leaders agree
that knowing how to use AI effectively and responsibly matters for students' futures.
77%
of students have no formal training
despite 92% having already used AI for schoolwork. Adoption has outrun capability.
66%
of educators want monthly or quarterly training
not one-off launch events or annual PD days. The cadence in the data is specific.
52%
of students want the same cadence
recurring, in-service AI training built into the timetable, not into a lunchtime club.
Source: Microsoft, AI in Education Report, June 2026.
Designed around the operational template validated by the NSF's US$11M award to the Computer Science Teachers Association - multi-day, cohort-based, curriculum-aligned, with a durable community of practice after the intensive week.
English, Mathematics, Humanities, Sciences and Arts each get their own trajectory - because AI use in each subject looks different, and generic training doesn't stick.
Every session exits with a lesson sequence, prompt library or assessment rubric a teacher can use in their next class. Not concept lectures - working materials.
How to design tasks that stay valid when students have AI access, and how to move beyond detection-tool reliance. The take-home essay is under pressure everywhere; this is where schools respond.
Teachers finish training as members of a durable community of practice - the same design principle behind NSF's US$11M CSTA AI Professional Development Weeks.
Schools program
See delivery models, curriculum units, and how Edison fits your timetable.
Edison school partnerships introduce students and teachers to the agent patterns modern teams use — intake, follow-up, reporting, and calm classroom workflow automation.
Agents are taught as composable workflows — clear inputs, guardrails, human review, and outputs your team can trust.
Tell us about your school and what you're trying to build. A senior Edison faculty member will respond within two business days with a scoped recommendation, indicative pricing, and next steps.
education@edisonacademy.com.au
Sydney · Melbourne · Australia-wide
Start a school partnership enquiry.
The form captures your role, your school's context, and what's prompting the interest, so the briefing is tailored before we meet.
Partnership enquiries go through the canonical school form so your details land directly in Edison's admissions pipeline.
Compare this program at the parent brand and adjacent Edison AI offerings.