We've worked with enough operators in Griffith to know that the brief that arrives in our inbox is rarely the brief that ends up shipped. The first thing we do on any AI knowledge base project is sit with your team for a day before we propose anything.
For Griffith operators who want a working pilot in weeks, not a year-long programme.
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 Griffith operators actually lose hours.
- Griffith is irrigated horticulture and wine in the Riverina, where water, season and freight decide the year.
- Citrus, wine, rice and food processing built on the Murrumbidgee Irrigation Area, with a strong family-business culture. Compliance paperwork, freight coordination and multilingual customer contact are all real daily loads.
We work with teams across Griffith: Griffith CBD · Yoogali · Hanwood · Yenda · Leeton.
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How we build AI knowledge base for a Griffith team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Griffith business, so value lands before the build is finished. Internal AI knowledge base.
Talk to usThe outcome for Griffith teams
The shape of the result for Griffith 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
When does AI knowledge base actually pay back?
Inside the first quarter, in our experience. We pick the first slice specifically because it's the highest-leverage workflow for a Griffith - so the savings start landing before the rest of the build is finished.
Do you do hourly billing or fixed price?
Fixed price for the pilot, every time. After that it's your call - fixed price per milestone or a small monthly retainer for ongoing iteration. We don't run open-ended T&M because it disincentivises us from finishing.
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.
Will this run on our own infrastructure?
Yes, where it makes sense. AI knowledge base can sit entirely in your cloud account, with model calls routed through endpoints you control. We default to Claude, Pinecone, Vercel AI SDK, Postgres, MCP but the architecture supports your existing platform choices.
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.