San Francisco sits in a regional context that genuinely changes the build. Connectivity assumptions, the rhythm of the working week, the proximity of your team to your customers - none of those are details our default AI outbound sales template would catch.
AI outbound sales 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 :)
What AI outbound sales actually does
An AI sales agent that runs your outbound - researches prospects, personalises the pitch, sends the first 3 touches, and only hands a warm reply to a human. Hits the activity numbers no SDR can keep up with, without the spammy blast feel.
- 01 Lookalike prospect lists built from your best existing customers
- 02 Personalised first-touch emails and LinkedIn messages - not templated
- 03 Auto-followups across email + SMS until they reply or opt out
- 04 Warm replies routed straight to your CRM with full context
Built on: Claude + GPT-4 for messaging Apollo / Clay for enrichment HubSpot or your existing CRM Twilio for SMS, Gmail / Outlook for email
What you actually get
Every engagement is scoped and quoted up front. This is what is in the box.
- A working pilot, in productionNot a prototype on someone's laptop. The first slice of AI outbound sales runs against real work within weeks.
- Your data stays yoursIt runs on your accounts and your tools. If we part ways you keep the system and everything in it.
- The workflow mapped before codeWe write down what good looks like for San Francisco businesses first, so nobody is guessing at handover.
- Support after it landsThe people who built it stay reachable when the business changes shape around it.
How AI outbound sales compares
The two things most businesses do instead, and where each one runs out.
| Hiring for it | An off-the-shelf tool | Kiwi Dynamics | |
|---|---|---|---|
| Fit to how you work | Fits perfectly, costs a salary | You bend your process to suit the tool | Built around the workflow you already run |
| Time to something useful | Immediate, and permanent | Quick to switch on, slow to make fit | A working slice in weeks, then hardened |
| Who owns the data | You do | The vendor, on the vendor's terms | You do, in your own accounts |
| When it breaks | That person sorts it, if they are in | A support queue and a ticket number | The people who built it |
| What it costs | A salary, every year, forever | Per seat, forever, used or not | Scoped 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.
Talk to us about this →How we build AI outbound sales 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. Outbound that doesn't sleep.
Talk to usHow the work runs
- Find the one workflowWe look for the job costing San Francisco businesses the most hours or the most leads, and deliberately ignore the rest for now.
- Ship a working sliceA narrow version goes into production in weeks, against real work, so the value shows up before the build is finished.
- Prove it, then widenWe measure it against what the work cost before. If it does not pay for itself, we say so rather than scaling it.
- Harden and hand overLogging, fallbacks and a real handover, so it keeps running when we are not in the room.
The outcome for San Francisco teams
The shape of the result for San Francisco teams: One NZ SaaS team replaced two outbound SDRs with an AI agent + one closer - 3× the meetings booked, same pipeline cost. Built on Claude + GPT-4 for messaging, 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 quickly can we see something running?
Week three for a clickable internal demo against real data. Week six for a slice your team can actually use. We hold ourselves to those numbers because they're what stops a project drifting into "endless discovery".
What's the smallest engagement you'd take on?
A two-week paid discovery for San Francisco businesses that aren't sure whether the build is worth doing at all. You get a one-page write-up of what we'd build, what we'd skip, and what it would cost. About 30% of those discoveries end with us recommending you don't proceed.
Has this actually shipped for a real San Francisco?
Yes. One NZ SaaS team replaced two outbound SDRs with an AI agent + one closer - 3× the meetings booked, same pipeline cost. We'll share comparable engagements on the call.
What tools do you build AI outbound sales on?
For AI outbound sales we usually reach for Claude + GPT-4 for messaging, Apollo / Clay for enrichment, HubSpot or your existing CRM, Twilio for SMS, Gmail / Outlook for email. We're tool-agnostic at heart - we pick what your San Francisco team can actually run after we hand the build over, not what looks good on a vendor sticker.
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.