The reason we take on work in Darwin is that the businesses here tend to be sharper about what they want than the brief lets on. AI strategy for a Darwin team almost always ends up looking different to AI strategy for a downtown Auckland one.
AI roadmap + plan - wired into a Darwin workflow, not bolted on the side.
Our goal is to give Darwin businesses a three-day weekend, so people can spend more time with their families and the people they love :)
What AI strategy actually does
A clear-eyed AI roadmap built for your business - not a generic deck. We sit with your team, map the high-value plays, and write the build order. You leave with a plan you could actually start tomorrow.
- 01 On-site discovery with the people doing the work
- 02 Ranked initiatives with ROI, effort, and risk
- 03 Tool selection - not married to any vendor
- 04 Phased 90-day plan you can execute or hand off
Built on: Claude Notion Miro Linear
Without Koala Dynamics
With Koala Dynamics
What you actually get
Every engagement is scoped and quoted up front. This is what is in the box.
- A working pilot, in productionNot a prototype on someone's laptop. The first slice of AI strategy runs against real work within weeks.
- Your data stays yoursIt runs on your accounts and your tools. If we part ways you keep the system and everything in it.
- The workflow mapped before codeWe write down what good looks like for Darwin businesses first, so nobody is guessing at handover.
- Support after it landsThe people who built it stay reachable when the business changes shape around it.
How AI strategy compares
The two things most businesses do instead, and where each one runs out.
| Hiring for it | An off-the-shelf tool | Koala Dynamics | |
|---|---|---|---|
| Fit to how you work | Fits perfectly, costs a salary | You bend your process to suit the tool | Built around the workflow you already run |
| Time to something useful | Immediate, and permanent | Quick to switch on, slow to make fit | A working slice in weeks, then hardened |
| Who owns the data | You do | The vendor, on the vendor's terms | You do, in your own accounts |
| When it breaks | That person sorts it, if they are in | A support queue and a ticket number | The people who built it |
| What it costs | A salary, every year, forever | Per seat, forever, used or not | Scoped and quoted up front |
What we keep seeing in Darwin.
- Darwin runs on defence, resources and a tourism season split hard by the wet - AI here means handling seasonal swings without carrying seasonal headcount.
- A major defence presence, gas and resources projects, and a tourism trade that lives and dies by the dry season. Darwin businesses want AI that scales staffing-heavy work up and down without the overhead of actually hiring for it.
We work with teams across Darwin: Darwin CBD · Palmerston · Casuarina · Nightcliff · Parap · Stuart Park.
Talk to us about this →
How we build AI strategy for a Darwin team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Darwin business, so value lands before the build is finished. AI roadmap + plan.
Talk to usHow the work runs
- Find the one workflowWe look for the job costing Darwin businesses the most hours or the most leads, and deliberately ignore the rest for now.
- Ship a working sliceA narrow version goes into production in weeks, against real work, so the value shows up before the build is finished.
- Prove it, then widenWe measure it against what the work cost before. If it does not pay for itself, we say so rather than scaling it.
- Harden and hand overLogging, fallbacks and a real handover, so it keeps running when we are not in the room.
The outcome for Darwin teams
We'd call the engagement a success when Darwin teams are using the system without thinking about us. Most plans pay for themselves in the first build.
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 strategy in production?
Eight to ten weeks for most Darwin 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 does AI strategy cost for a Darwin?
Pilots start from a fixed scope priced to land a measurable result inside 6 weeks. Pricing depends on data volume, integration complexity, and whether you need us on managed services afterwards. We'll quote precisely after a 30-minute scoping call.
Has this actually shipped for a real Darwin?
Yes. Most plans pay for themselves in the first build. We'll share comparable engagements on the call.
What if our Darwin 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 strategy specifically, we typically run that work on Claude, Notion, Miro, Linear 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.