Broken Hill sits in a regional context that genuinely changes the build. Connectivity assumptions, the rhythm of the working week, the proximity of your team to your customers - none of those are details our default AI efficiency audit template would catch.
AI efficiency audit designed around the way a Broken Hill team actually runs.
What AI efficiency audit actually does
A two-week audit that maps your team's actual time spend, finds the 5 highest-leverage AI plays, and ships the first one. No vapourware, no 80-slide decks - just one working thing.
- 01 Time-and-motion review of your top 5 workflows
- 02 Ranked AI opportunity list - ROI, effort, risk
- 03 One pilot shipped in week two, not a six-month roadmap
- 04 Fixed price, fixed scope, kept honest
Built on: Claude Notion Loom Linear Vercel
Without Koala Dynamics
With Koala Dynamics
What Broken Hill teams tell us when they get on a call.
- Broken Hill is a mining city in the far west, remote enough that anything reducing a physical trip pays for itself quickly.
- Mining, mining services and a growing arts and film tourism draw, hundreds of kilometres from any other centre. Remote support, remote quoting and remote diagnostics matter more here than almost anywhere in the country.
We work with teams across Broken Hill: Broken Hill CBD · South Broken Hill · North Broken Hill · Railway Town.
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How we build AI efficiency audit for a Broken Hill team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Broken Hill business, so value lands before the build is finished. Find AI wins fast.
Talk to usThe outcome for Broken Hill teams
The shape of the result for Broken Hill teams: Average pilot saves 8 hours/week within 30 days of launch. Built on Claude, hardened with the rest of the stack as it scales.
Not your typical AI agency.
Honest about what AI can and cannot do
Ships the one workflow that pays for itself
Hours given back, never the size of the invoice
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
FAQ
How fast could we have AI efficiency audit in production?
Eight to ten weeks for most Broken Hill businesses. Faster if your data is in good shape and slower if we're untangling a legacy integration first. We'll give you a realistic number on the scoping call rather than the optimistic one.
What's the smallest engagement you'd take on?
A two-week paid discovery for Broken Hill businesses that aren't sure whether the build is worth doing at all. You get a one-page write-up of what we'd build, what we'd skip, and what it would cost. About 30% of those discoveries end with us recommending you don't proceed.
Anyone else in this space using AI efficiency audit?
Plenty. Average pilot saves 8 hours/week within 30 days of launch. The interesting question is rarely "does it work" - it's "is your team ready to use the output." That's what we'd scope on the call.
What if our Broken Hill doesn't have any data ready?
Most don't. Getting the data into shape - ingestion, cleaning, the lightweight contracts you need before any model is useful - is part of the engagement. For AI efficiency audit specifically, we typically run that work on Claude, Notion, Loom, Linear, Vercel and assume messy starting conditions from day one.
Talk to us about this
Tell us what you're trying to do and we'll reply with how we'd build it - no obligation.