Productised offers
Most AI consulting starts with a discovery proposal that takes three weeks to write. Ours starts with a price band, a duration, and named deliverables. Pick the offer that fits, or book a call to scope something custom.
2 weeks · $15K–$25K AUD
Two weeks. Two workshops. A use-case backlog scored by effort, value and risk; a data + access map; and a written go/no-go recommendation with the criteria authored before the gate meeting.
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3 weeks · $40K–$80K AUD
Three weeks from kickoff to a working GenAI system in real users' hands. Evaluations harness, observability, runbooks — built so the operator can run it after we leave.
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4 weeks · $25K–$45K AUD
Aligned to the Voluntary AI Safety Standard, with the APRA / OAIC / industry-specific obligations folded in. Risk register, policy doc, board-ready briefing. Implementable, not just documented.
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Why we publish prices
Most consulting buyers don’t bounce because the price is high. They bounce because they can’t tell what they’re getting for it. Publishing the band, the duration, and the named deliverables on the same page is the fastest way to find out whether we’re even in the same ballpark — and to filter out engagements where we’re not the right fit.
For engagements outside these three offers — a longer build, a multi-team rollout, an ongoing retainer — we work to scope, not to a published band. Start with a discovery call and we’ll tell you which path fits.