Most of our Logan 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.
Built and supported here - the way a Logan business would actually use it.
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
Without Koala Dynamics
With Koala Dynamics
Where Logan operators actually lose hours.
- Logan is trades, logistics and light manufacturing between Brisbane and the Gold Coast, with one of the most diverse populations in the country.
- A dense band of transport, warehousing, manufacturing and home services businesses serving two capitals at once. Multilingual customer contact and after-hours enquiries are both bigger factors here than the numbers suggest.
We work with teams across Logan: Logan Central · Springwood · Beenleigh · Browns Plains · Meadowbrook.
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How we build AI knowledge base for a Logan team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Logan business, so value lands before the build is finished. Internal AI knowledge base.
Talk to usThe outcome for Logan teams
The shape of the result for Logan teams: New staff get to productive 3x faster - less senior-team interruption. Built on Claude, hardened with the rest of the stack as it scales.
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 long does AI knowledge base take to ship for Logan businesses?
We aim for a working pilot inside 4-6 weeks - narrow scope, real Logan 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.
Are there hidden costs we should plan for?
Three to know about: model/API spend (which we set up under your own account, not ours, so you see and control it), any new SaaS subscriptions we recommend, and your team's time during rollout. We surface all three in the quote so there are no surprises.
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.
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.