Every optometry practice business we've worked with has a different definition of "broken". AI strategy only earns its keep when it solves the specific definition you'd give it on a bad day - which is why our first call is mostly listening.
Built for the optometry practice who's already tried the off-the-shelf option and bounced off it.
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 strategy actually does
A clear-eyed AI roadmap built for your business - not a generic deck. We sit with your team, map the high-value plays, and write the build order. You leave with a plan you could actually start tomorrow.
- 01 On-site discovery with the people doing the work
- 02 Ranked initiatives with ROI, effort, and risk
- 03 Tool selection - not married to any vendor
- 04 Phased 90-day plan you can execute or hand off
Built on: Claude Notion Miro Linear
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 strategy 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 strategy 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 |
Where optometry practices actually lose hours and dollars.
- 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 strategy 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. AI roadmap + plan.
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
The shape of the result for optometry practices: Most plans pay for themselves in the first build. Built on Claude, hardened with the rest of the stack as it scales.
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 quickly can we see something running?
Week three for a clickable internal demo against real data. Week six for a slice your team can actually use. We hold ourselves to those numbers because they're what stops a project drifting into "endless discovery".
Is AI strategy worth it for a smaller optometry practice?
Often, yes - and counterintuitively the ROI is sometimes faster than for the big end of town because there's less integration overhead. We'll tell you honestly on the scoping call if it isn't.
What's the realistic outcome for optometry practices?
Most plans pay for themselves in the first build. We don't promise tenfold lifts because we don't see them outside of marketing decks.
What tools do you build AI strategy on?
For AI strategy we usually reach for Claude, Notion, Miro, Linear. We're tool-agnostic at heart - we pick what your optometry practice team can actually run after we hand the build over, not what looks good on a vendor sticker.
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.