There is a version of AI booking agent that building companies buy off a shelf and quietly stop using inside a month. Then there's the version that's wired into your real workflow, owned by a person on your team, and still in use a year later. We only build the second one.
The version of AI booking agent that building companies still use a year after launch.
Our goal is to give building companies a three-day weekend, so people can spend more time with their families and the people they love :)
What AI booking agent actually does
Most enquiries go to whoever replies first, not whoever is best. This answers every WhatsApp, SMS, and Instagram message in seconds, acknowledges what the customer actually said, then walks them through to a booked appointment in your calendar.
- 01 Replies in seconds on WhatsApp, SMS, Instagram, and Messenger - not the next business day
- 02 Acknowledges the customer's actual problem before it asks anything, so it never reads like a bot
- 03 A short question flow that ends in a booking, not an open-ended chat
- 04 Answers your real questions - pricing, parking, insurance, after-hours - from your own website content
Built on: WhatsApp Business API Twilio Claude Cal.com HubSpot
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 booking agent 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 building companies 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 booking agent 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 years of building for building companies taught us.
- Builders run multiple sites at once, and the paperwork behind each one grows faster than anyone has time to manage.
- Variations, supplier orders, and client updates are the admin layer that determines whether a build stays on schedule.
How we build AI booking agent for building companies.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for a building company business, so value lands before the build is finished. Every enquiry, booked.
Talk to usHow the work runs
- Find the one workflowWe look for the job costing building companies 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 building companies
What changes for building companies 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. Replying inside five minutes is the single biggest lever on whether an enquiry books at all.
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 long does AI booking agent take to ship for building companies?
We aim for a working pilot inside 4-6 weeks - narrow scope, real building companies data, measurable outcome. From there it's another 6-8 weeks of hardening before you'd consider it production. Full rollouts (multiple sites, multiple teams) typically land in 3-4 months.
Are there hidden costs we should plan for?
Three to know about: model/API spend (which we set up under your own account, not ours, so you see and control it), any new SaaS subscriptions we recommend, and your team's time during rollout. We surface all three in the quote so there are no surprises.
Do you have proof this works for building companies?
Direct case study: Replying inside five minutes is the single biggest lever on whether an enquiry books at all. Happy to walk you through full numbers on a call.
Who owns the code and the model setup?
You do, on delivery. We deploy AI booking agent into your own cloud account where possible, with the model setup, prompts, evals and integration code all checked into a repo you own. WhatsApp Business API sits in your account too - we don't operate it from ours.
Worth a conversation?
Even if you don't end up working with us, you'll leave the call knowing what's worth building.
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.