AI lead reactivation is overhyped at the macro level and underused at the workflow level. For a NZ optometry practice, that gap is where the actual ROI lives - and where most of our work happens.
Wake up cold pipeline, built around how an optometry practice actually works.
Our goal is to give optometry practices a three-day weekend, so people can spend more time with their families and the people they love :)
What AI lead reactivation actually does
Your CRM is sitting on a graveyard of old leads that went quiet. An AI reactivation agent works through them at scale - researches what's changed at their business, writes a relevant re-entry message, and only books a meeting when there's a real reason to reconnect.
- 01 Scores every dormant lead by reactivation likelihood
- 02 Detects buying-trigger events (funding, hiring, product launches)
- 03 Personalised re-entry message referencing what's actually changed
- 04 Reports back which leads to bin and which to call this week
Built on: Claude for research + writing Clay / Apollo for signal data HubSpot / Salesforce / Pipedrive Slack digest of warm wake-ups
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 reactivation 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 optometry practices 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 reactivation 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 |
Optometry practices run their businesses unlike anyone else.
- Optometrists balance eye tests, recalls, and frame sales, with recall reminders often the first thing to slip.
- Recall reminders and insurance or funding queries are the recurring admin load behind every optometry front desk.
How we build AI lead reactivation for optometry practices.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for an optometry practice business, so value lands before the build is finished. Wake up cold pipeline.
Talk to usHow the work runs
- Find the one workflowWe look for the job costing optometry practices 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 optometry practices
What changes for optometry practices 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. An Auckland agency reactivated 18 deals worth $340k from 2,000 'dead' CRM leads in a single 6-week sweep.
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 lead reactivation actually pay back?
Inside the first quarter, in our experience. We pick the first slice specifically because it's the highest-leverage workflow for an optometry practice - so the savings start landing before the rest of the build is finished.
How do you price AI lead reactivation 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 optometry practices are surprised how small the first cheque is.
Do you have proof this works for optometry practices?
Direct case study: An Auckland agency reactivated 18 deals worth $340k from 2,000 'dead' CRM leads in a single 6-week sweep. Happy to walk you through full numbers on a call.
Will this run on our own infrastructure?
Yes, where it makes sense. AI lead reactivation can sit entirely in your cloud account, with model calls routed through endpoints you control. We default to Claude for research + writing, Clay / Apollo for signal data, HubSpot / Salesforce / Pipedrive, Slack digest of warm wake-ups but the architecture supports your existing platform choices.
The honest version of a sales call.
No deck. No discovery doc. Just whether this is worth building and what it would cost.
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.