We've worked with enough operators in San Francisco 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 inbound sales project is sit with your team for a day before we propose anything.
Every lead, instantly, built for businesses operating in San Francisco.
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 inbound sales actually does
An AI agent that picks up every inbound enquiry the moment it lands - qualifies the lead, answers their questions with your real product knowledge, books the meeting, and only escalates the deals worth a human conversation. No more leads cooling off in the inbox overnight.
- 01 Instant reply on web forms, email, WhatsApp, and Facebook Messenger
- 02 Qualifies budget, timeline, decision-maker before booking a call
- 03 Trained on your actual sales playbook - not a generic chatbot
- 04 Books straight into the right rep's calendar with the right context
Built on: Claude / GPT-4 for conversation Cal.com or HubSpot Meetings Vector store of your sales collateral Slack alerts for hot leads
Without Kiwi Dynamics
With Kiwi Dynamics
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 inbound 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 inbound 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 |
The San Francisco context, plainly.
- 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 inbound 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. Every lead, instantly.
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
An NZ B2B services firm cut average response time from 7 hours to 90 seconds and lifted demo-booked rate by 41%. For San Francisco 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
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
FAQ
When does AI inbound sales 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 San Francisco - so the savings start landing before the rest of the build is finished.
How do you price AI inbound sales engagements?
Fixed-scope pilots first, then either project pricing or a small monthly retainer for the ongoing work. No long lock-ins, no 18-month black-box deals. Most San Francisco businesses are surprised how small the first cheque is.
Do you have proof this works for San Francisco businesses?
Direct case study: An NZ B2B services firm cut average response time from 7 hours to 90 seconds and lifted demo-booked rate by 41%. Happy to walk you through full numbers on a call.
Will this run on our own infrastructure?
Yes, where it makes sense. AI inbound sales can sit entirely in your cloud account, with model calls routed through endpoints you control. We default to Claude / GPT-4 for conversation, Cal.com or HubSpot Meetings, Vector store of your sales collateral, Slack alerts for hot leads but the architecture supports your existing platform choices.
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.