AI knowledge base that lives in your stack, not on a vendor's roadmap. Shipped from Tasmania.

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

Hobart 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 knowledge base template would catch.

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

The pattern across Hobart engagements we've shipped.

  • Hobart runs on tourism, aquaculture and a small but sharp professional services scene - AI here has to work for teams that don't have a big back office to absorb a bad tool.
  • Salmon and seafood exports, a tourism season built around MONA and the wider arts scene, and a compact CBD professional layer. Hobart businesses need AI that's genuinely easy to run without dedicated IT staff.

We work with teams across Hobart: Hobart CBD · Battery Point · Glenorchy · Kingston · Sandy Bay · Moonah.

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How we build AI knowledge base for a Hobart team.

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

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How the work runs

The outcome for Hobart teams

New staff get to productive 3x faster - less senior-team interruption. For Hobart 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.

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*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

What's the realistic timeline for AI knowledge base with a Hobart?

Most Hobart businesses have their first usable slice in week 5 or 6. We'd rather ship narrow and real than broad and aspirational - your team gets to use the thing well before the engagement is "done".

What does AI knowledge base cost for a Hobart?

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.

Anyone else in this space using AI knowledge base?

Plenty. New staff get to productive 3x faster - less senior-team interruption. 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 happens if we want to swap a vendor out later?

AI knowledge base is built behind a small adapter layer specifically so swapping a model provider or a data source is a one-day job, not a re-architecture. Claude, Pinecone, Vercel AI SDK, Postgres, MCP are our defaults, but the build is intentionally portable.

Sketch this with us.

We'll map your real workflow before quoting anything.

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.