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

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

The reason we take on work in Los Angeles is that the businesses here tend to be sharper about what they want than the brief lets on. AI knowledge base for a Los Angeles team almost always ends up looking different to AI knowledge base for a downtown Auckland one.

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 toolKiwi 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

What Los Angeles teams tell us when they get on a call.

  • LA runs on entertainment, production and a sprawling small business economy across a huge metro area - AI here has to work for a one-location shop and a studio with the same reliability.
  • Film and TV production, a massive creative freelance economy, and small businesses spread across a metro area bigger than most countries. LA teams want AI that handles the admin so they can stay on the thing that actually makes money.

We work with teams across Los Angeles: Downtown LA · Hollywood · Santa Monica · Culver City · Burbank · Venice.

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How we build AI knowledge base for a Los Angeles team.

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

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How the work runs

The outcome for Los Angeles teams

We'd call the engagement a success when Los Angeles teams are using the system without thinking about us. New staff get to productive 3x faster - less senior-team interruption.

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 Kiwi Dynamics, that drops to about 52.

Try the calculator

*Based on 9 hours a week of admin at Kiwi 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 Los Angeles?

Most Los Angeles 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".

Is AI knowledge base worth it for a smaller Los Angeles?

Often, yes - and counterintuitively the ROI is sometimes faster than for the big end of town because there's less integration overhead. We'll tell you honestly on the scoping call if it isn't.

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.