Cafes and restaurants · Applied AI

For cafes and restaurants who want results in weeks, not a year-long transformation programme.

Cafes and restaurants are some of the most efficient operators in New Zealand – which means the easy wins from AI outbound sales are usually already taken. The brief we accept is the one focused on the workflow you've tried to fix twice and given up on.

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 gets in the way

The friction cafes and restaurants hit that other industries don't.

  • Hospitality runs on thin margins where a missed booking, a bad review left unanswered, or a slow roster costs real money.
  • Reservations, reviews, and rostering are the recurring admin that pulls owners off the floor.
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How we build AI outbound sales for cafes and restaurants.

We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for a cafe or restaurant business, so value lands before the build is finished. Outbound that doesn't sleep.

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The outcome for cafes and restaurants

What changes for cafes and restaurants 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. One NZ SaaS team replaced two outbound SDRs with an AI agent + one closer — 3× the meetings booked, same pipeline cost.

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.

Questions

FAQ

How fast could we have AI outbound sales in production?

Eight to ten weeks for most cafes and restaurants. 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's the smallest engagement you'd take on?

A two-week paid discovery for cafes and restaurants 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.

Can you walk us through a comparable build?

Yes – on the first call we'll pick the closest engagement we've shipped to what you're describing and walk through the outcome, the headcount and the time it took. One NZ SaaS team replaced two outbound SDRs with an AI agent + one closer — 3× the meetings booked, same pipeline cost.

What if our cafe or restaurant 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 outbound sales specifically, we typically run that work on Claude + GPT-4 for messaging, Apollo / Clay for enrichment, HubSpot or your existing CRM, Twilio for SMS, Gmail / Outlook for email and assume messy starting conditions from day one.

Twenty minutes, your call.

You describe what's broken. We'll tell you what we'd actually do about it.

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