AI lead qualification is overhyped at the macro level and underused at the workflow level. For a NZ hair salon, that gap is where the actual ROI lives - and where most of our work happens.
AI lead qualification that fits a hair salon's week, not the other way around.
Our goal is to give hair salons a three-day weekend, so people can spend more time with their families and the people they love :)
What AI lead qualification actually does
Every form-fill, every missed call, every Instagram DM - scored, enriched, and routed within minutes. Your team only sees leads that match your ideal customer.
- 01 Auto-enriches with NZBN, company size, and history
- 02 Scores using your past won/lost deals as training data
- 03 Hot leads get SMS-routed to the right rep instantly
- 04 Cold leads enter nurture, not the bin
Built on: Claude HubSpot NZBN API Twilio Vercel
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 lead qualification 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 hair salons 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 lead qualification 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 |
Hair salons need software built around their week, not against it.
- Salons run on a fully booked chair, and every gap in the calendar is revenue that doesn't come back.
- Rebooking, no-show follow-ups, and client reminders are what keep a salon's calendar full without constant manual chasing.
How we build AI lead qualification for hair salons.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for a hair salon business, so value lands before the build is finished. AI scores your leads.
Talk to usHow the work runs
- Find the one workflowWe look for the job costing hair salons 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 hair salons
If we build the right slice first, hair salons feel the difference inside the first month. Sales reps spend 70% less time on dead-end conversations.
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 lead qualification take to ship for hair salons?
We aim for a working pilot inside 4-6 weeks - narrow scope, real hair salons 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.
What's the realistic outcome for hair salons?
Sales reps spend 70% less time on dead-end conversations. We don't promise tenfold lifts because we don't see them outside of marketing decks.
Who owns the code and the model setup?
You do, on delivery. We deploy AI lead qualification into your own cloud account where possible, with the model setup, prompts, evals and integration code all checked into a repo you own. Claude sits in your account too - we don't operate it from ours.
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.