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

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

Oakland businesses don't need another generic AI pitch. AI lead qualification 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 California.

What AI lead qualification actually does

Every form-fill, every missed call, every Instagram DM - scored, enriched, and routed within minutes. Your team only sees leads that match your ideal customer.

  • 01 Auto-enriches with NZBN, company size, and history
  • 02 Scores using your past won/lost deals as training data
  • 03 Hot leads get SMS-routed to the right rep instantly
  • 04 Cold leads enter nurture, not the bin

Built on: Claude HubSpot NZBN API Twilio Vercel

What you actually get

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

How AI lead qualification 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

The pattern across Oakland engagements we've shipped.

  • Oakland runs on logistics, healthcare and a wave of businesses priced out of San Francisco - AI here means Bay Area capability without Bay Area rent.
  • One of the busiest container ports on the West Coast, a major hospital network, and a growing tech and creative scene that moved across the bay for the rent. Oakland businesses want the same AI rigor as San Francisco without the San Francisco price tag.

We work with teams across Oakland: Downtown Oakland · Jack London Square · Temescal · Fruitvale · Rockridge · West Oakland.

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How we build AI lead qualification for an Oakland team.

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

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How the work runs

The outcome for Oakland teams

Sales reps spend 70% less time on dead-end conversations. For Oakland 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

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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

How fast could we have AI lead qualification in production?

Eight to ten weeks for most Oakland businesses. Faster if your data is in good shape and slower if we're untangling a legacy integration first. We'll give you a realistic number on the scoping call rather than the optimistic one.

What does AI lead qualification cost for an Oakland?

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.

Anyone else in this space using AI lead qualification?

Plenty. Sales reps spend 70% less time on dead-end conversations. 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 if our Oakland doesn't have any data ready?

Most don't. Getting the data into shape - ingestion, cleaning, the lightweight contracts you need before any model is useful - is part of the engagement. For AI lead qualification specifically, we typically run that work on Claude, HubSpot, NZBN API, Twilio, Vercel and assume messy starting conditions from day one.

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.