AI strategy for cafes and restaurants.
Built for the cafe or restaurant who's already tried the off-the-shelf option and bounced off it.
The shape of every cafes and restaurant brief we've seen.
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.
Rosters that account for 11 public holidays, including Matariki, plus your anniversary day, without a spreadsheet.
From one-person trades to national organisations, we find the hours :)
The questions a public sector buyer asks, answered up front: privacy impact, the NZISM, where the data lives and how an algorithm is held to account.
*Illustrative example based on nine hours a week of admin. Actual results vary by workflow and business.
Not your typical AI agency.
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
What AI strategy actually does
A clear-eyed AI roadmap built for your business - not a generic deck. With the right workflow automated, nine hours of admin a week could drop to about one.*
*Illustrative example only, based on 9 hours a week of admin falling to about 1 hour a week. Actual results vary by workflow and business.
How the work runs
We find the one workflow costing cafes and restaurants the most hours, ship a working slice into production in weeks, prove it pays for itself, then harden it and hand it over.
Small team.
Real systems.
Zero fluff.
What AI strategy covers
The shape of the result for cafes and restaurants: Most plans pay for themselves in the first build.
- On-site discovery with the people doing the work
- Ranked initiatives with ROI, effort, and risk
- Tool selection - not married to any vendor
- Phased 90-day plan you can execute or hand off
- No AI theatre
- No annual contracts
Questions cafes and restaurants ask
How fast could we have AI strategy 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.
Do you have proof this works for cafes and restaurants?
Direct case study: Most plans pay for themselves in the first build. Happy to walk you through full numbers on a call.
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 strategy specifically, we typically run that work on Claude, Notion, Miro, Linear and assume messy starting conditions from day one.
Is our data kept in New Zealand?
Kiwi Dynamics hosts its own infrastructure in New Zealand, under New Zealand governance. If personal information ever has to go offshore, privacy principle 12 requires comparable protection.
Do you work with Xero?
Yes. Xero is one of the systems we build around, and we connect to the other tools you already run rather than asking you to switch.
Talk to us about AI strategy
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