There is a version of AI inbound sales that optometry practices 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.
Optometry practices · Applied AI
AI inbound sales that fits a optometry practice's week, not the other way around.
What AI inbound sales actually does
An AI agent that picks up every inbound enquiry the moment it lands – qualifies the lead, answers their questions with your real product knowledge, books the meeting, and only escalates the deals worth a human conversation. No more leads cooling off in the inbox overnight.
- 01 Instant reply on web forms, email, WhatsApp, and Facebook Messenger
- 02 Qualifies budget, timeline, decision-maker before booking a call
- 03 Trained on your actual sales playbook – not a generic chatbot
- 04 Books straight into the right rep's calendar with the right context
Built on: Claude / GPT-4 for conversation Cal.com or HubSpot Meetings Vector store of your sales collateral Slack alerts for hot leads
Without Kiwi Dynamics
With Kiwi Dynamics
Sector reality
Optometry practices need software built around their week, not against it.
- 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 inbound sales for optometry practices.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for a optometry practice business, so value lands before the build is finished. Every lead, instantly.
Talk to usThe outcome for optometry practices
We'd call the engagement a success when optometry practices are using the system without thinking about us. An NZ B2B services firm cut average response time from 7 hours to 90 seconds and lifted demo-booked rate by 41%.
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.
Questions
FAQ
When does AI inbound sales actually pay back?
Inside the first quarter, in our experience. We pick the first slice specifically because it's the highest-leverage workflow for a optometry practice – so the savings start landing before the rest of the build is finished.
Do you do hourly billing or fixed price?
Fixed price for the pilot, every time. After that it's your call – fixed price per milestone or a small monthly retainer for ongoing iteration. We don't run open-ended T&M because it disincentivises us from finishing.
Anyone else in this space using AI inbound sales?
Plenty. An NZ B2B services firm cut average response time from 7 hours to 90 seconds and lifted demo-booked rate by 41%. The interesting question is rarely "does it work" – it's "is your team ready to use the output." That's what we'd scope on the call.
Will this run on our own infrastructure?
Yes, where it makes sense. AI inbound sales can sit entirely in your cloud account, with model calls routed through endpoints you control. We default to Claude / GPT-4 for conversation, Cal.com or HubSpot Meetings, Vector store of your sales collateral, Slack alerts for hot leads but the architecture supports your existing platform choices.
Skip the pitch.
Tell us the workflow and we'll come back with what we'd build first.
Get in touch
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.