Semantic search (RAG) designed around the way a Mandurah team actually runs.

The reason we take on work in Mandurah is that the businesses here tend to be sharper about what they want than the brief lets on. Semantic search (RAG) for a Mandurah team almost always ends up looking different to semantic search (RAG) for a downtown Auckland one.

What semantic search (RAG) actually does

Search that understands intent, not just keywords. Your team types what they mean - and gets the right document, ticket, or product from across every system, with citations.

  • 01 Indexes Drive, SharePoint, Notion, Slack, your CRM
  • 02 Returns answers with source links - no hallucinations
  • 03 Permissioned so staff only see what they should
  • 04 Re-indexes nightly so results stay fresh

Built on: Pinecone Claude Postgres pgvector Vercel AI SDK

What we keep seeing in Mandurah.

  • Mandurah is a Perth commuter and retirement city, with construction and home services carrying the local economy.
  • Coastal residential growth, aged care, tourism and the trades behind them. A large retiree customer base means phone-first service and a lot of repeat scheduling.

We work with teams across Mandurah: Mandurah CBD · Halls Head · Falcon · Meadow Springs · Pinjarra.

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How we build semantic search (RAG) for a Mandurah team.

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

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The outcome for Mandurah teams

We'd call the engagement a success when Mandurah teams are using the system without thinking about us. Average search time drops from 6 minutes to 12 seconds.

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

How quickly can we see something running?

Week three for a clickable internal demo against real data. Week six for a slice your team can actually use. We hold ourselves to those numbers because they're what stops a project drifting into "endless discovery".

What's the smallest engagement you'd take on?

A two-week paid discovery for Mandurah 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.

Can you walk us through a comparable build?

Yes - on the first call we'll pick the closest engagement we've shipped to what you're describing and walk through the outcome, the headcount and the time it took. Average search time drops from 6 minutes to 12 seconds.

What tools do you build semantic search (RAG) on?

For semantic search (RAG) we usually reach for Pinecone, Claude, Postgres pgvector, Vercel AI SDK. We're tool-agnostic at heart - we pick what your Mandurah team can actually run after we hand the build over, not what looks good on a vendor sticker.

Twenty minutes, your call.

You describe what's broken. We'll tell you what we'd actually do about it.

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Tell us what you're trying to do and we'll reply with how we'd build it - no obligation.