Broome businesses don't need another generic AI pitch. Semantic search (RAG) only earns its keep when it's built around the workflow you actually run on a wet Tuesday, and that's how we scope every engagement we take on in Western Australia.
AI search over your data - wired into a Broome workflow, not bolted on the side.
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
Without Koala Dynamics
With Koala Dynamics
The pattern across Broome engagements we've shipped.
- Broome is Kimberley tourism and pearling, with a dry-season economy that has to earn a full year in six months.
- Tourism, pearling, Indigenous enterprise and remote services across an enormous region. The wet season shuts much of it down, so peak-season capacity is the whole commercial question.
We work with teams across Broome: Broome CBD · Cable Beach · Old Broome · Bilingurr · Derby.
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How we build semantic search (RAG) for a Broome team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Broome business, so value lands before the build is finished. AI search over your data.
Talk to usThe outcome for Broome teams
Average search time drops from 6 minutes to 12 seconds. For Broome 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
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
FAQ
What's the realistic timeline for semantic search (RAG) with a Broome?
Most Broome 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 semantic search (RAG) cost for a Broome?
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.
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 happens if we want to swap a vendor out later?
Semantic search (RAG) 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. Pinecone, Claude, Postgres pgvector, Vercel AI SDK are our defaults, but the build is intentionally portable.
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.