Internal AI knowledge base, built for businesses operating in Melbourne.

Our goal is to give Melbourne businesses a three-day weekend, so people can spend more time with their families and the people they love :)

Most of our Melbourne engagements start the same way: a 20-minute call where the owner describes a workflow we've heard before in shape but never in detail. AI knowledge base is then designed against the detail, not the shape.

What AI knowledge base actually does

Your team's tribal knowledge, finally searchable. Upload your SOPs, training videos, past emails, and Slack threads - your team asks questions and gets answers with citations.

  • 01 Ingests PDFs, Word docs, videos, Slack, Notion, Drive
  • 02 Answers with citations back to source documents
  • 03 Permission-aware - staff only see what they should
  • 04 Detects stale docs and prompts owners to update

Built on: Claude Pinecone Vercel AI SDK Postgres MCP

What you actually get

Every engagement is scoped and quoted up front. This is what is in the box.

How AI knowledge base compares

The two things most businesses do instead, and where each one runs out.

 Hiring for itAn off-the-shelf toolKoala Dynamics
Fit to how you workFits perfectly, costs a salaryYou bend your process to suit the toolBuilt around the workflow you already run
Time to something usefulImmediate, and permanentQuick to switch on, slow to make fitA working slice in weeks, then hardened
Who owns the dataYou doThe vendor, on the vendor's termsYou do, in your own accounts
When it breaksThat person sorts it, if they are inA support queue and a ticket numberThe people who built it
What it costsA salary, every year, foreverPer seat, forever, used or notScoped and quoted up front

Why Melbourne businesses are a fit for this.

  • Melbourne's economy runs on education, healthcare, retail and a dense creative and hospitality sector - AI earns its keep here on volume and margin, not novelty.
  • Two of the country's biggest universities, a major hospital network, and a retail and hospitality scene that never really slows down. Melbourne teams are practical about tools that save real hours across rosters, bookings and back-office work.

We work with teams across Melbourne: CBD · Docklands · Richmond · St Kilda · Box Hill · Dandenong.

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How we build AI knowledge base for a Melbourne team.

We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Melbourne business, so value lands before the build is finished. Internal AI knowledge base.

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How the work runs

The outcome for Melbourne teams

New staff get to productive 3x faster - less senior-team interruption. For Melbourne teams, that almost always shows up as fewer interruptions and a calmer week, not a dashboard chart.

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

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*Every engagement is scoped and quoted up front. Results vary by workflow and business.

How much is not automating costing you?

Nine hours a week of admin is 468 hours a year. With Koala Dynamics, that drops to about 52.

Try the calculator

*Based on 9 hours a week of admin at Koala Dynamics' typical 80% automation rate. Your number may vary, the calculator uses your own.

FAQ

How long does AI knowledge base take to ship for Melbourne businesses?

We aim for a working pilot inside 4-6 weeks - narrow scope, real Melbourne businesses data, measurable outcome. From there it's another 6-8 weeks of hardening before you'd consider it production. Full rollouts (multiple sites, multiple teams) typically land in 3-4 months.

How do you price AI knowledge base engagements?

Fixed-scope pilots first, then either project pricing or a small monthly retainer for the ongoing work. No long lock-ins, no 18-month black-box deals. Most Melbourne businesses are surprised how small the first cheque is.

Do you have proof this works for Melbourne businesses?

Direct case study: New staff get to productive 3x faster - less senior-team interruption. Happy to walk you through full numbers on a call.

Who owns the code and the model setup?

You do, on delivery. We deploy AI knowledge base into your own cloud account where possible, with the model setup, prompts, evals and integration code all checked into a repo you own. Claude sits in your account too - we don't operate it from ours.

Worth a conversation?

Even if you don't end up working with us, you'll leave the call knowing what's worth building.

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.