AI strategy designed around the way a San Francisco team actually runs.

Our goal is to give San Francisco 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 San Francisco is that the businesses here tend to be sharper about what they want than the brief lets on. AI strategy for a San Francisco team almost always ends up looking different to AI strategy for a downtown Auckland one.

What AI strategy actually does

A clear-eyed AI roadmap built for your business - not a generic deck. We sit with your team, map the high-value plays, and write the build order. You leave with a plan you could actually start tomorrow.

  • 01 On-site discovery with the people doing the work
  • 02 Ranked initiatives with ROI, effort, and risk
  • 03 Tool selection - not married to any vendor
  • 04 Phased 90-day plan you can execute or hand off

Built on: Claude Notion Miro Linear

What you actually get

Every engagement is scoped and quoted up front. This is what is in the box.

How AI strategy 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 we keep seeing in San Francisco.

  • San Francisco is where the AI industry itself is headquartered - any AI pitched here is judged against the frontier labs a few blocks away, not against a competitor's landing page.
  • The highest concentration of AI research labs and startups anywhere in the world, sitting alongside legacy finance and professional services firms adopting AI for the first time. San Francisco is the least forgiving market for a weak AI product, and the best one for a genuinely strong one.

We work with teams across San Francisco: Financial District · SoMa · Mission District · Marina · Nob Hill · Hayes Valley.

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How we build AI strategy for a San Francisco team.

We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your San Francisco business, so value lands before the build is finished. AI roadmap + plan.

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How the work runs

The outcome for San Francisco teams

What changes for San Francisco teams after this lands: the work that used to need a person stays done, the work that needs a person gets done with their attention undivided. Most plans pay for themselves in the first build.

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.

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*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 strategy with a San Francisco?

Most San Francisco 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 AI strategy cost for a San Francisco?

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.

Has this actually shipped for a real San Francisco?

Yes. Most plans pay for themselves in the first build. We'll share comparable engagements on the call.

What happens if we want to swap a vendor out later?

AI strategy 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, Notion, Miro, Linear are our defaults, but the build is intentionally portable.

One short call.

Tell us what you're trying to fix. We'll come back inside a working day.

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