Lead with ordering, land with the AI employee
Subject: What if [Company]'s clinics ordered 50% more orthotics?
Hi [Name],
Quick question: what % of your clinic partners' patients who should get orthotics actually end up ordering them?
For most labs it's under half. Not because clinicians don't want to order — the process is too slow, they lack confidence in foot assessment, and recommendations fall through the cracks.
We built Soapro to fix all three:
- Voice ordering: clinician speaks the order in 30 sec, AI generates a complete form in your format
- Charting assist: same interaction auto-generates clinical notes (this is why clinicians love it)
- Missed opportunity detection: AI flags patients who should get orthotics but weren't prescribed them
- Auto follow-up: our AI employee follows up with patients on unfilled recommendations and reorders
For a lab processing {volume{'}'} orders/mo, that's typically +50% volume and $15-20K/yr in processing savings. Revenue share model — no upfront cost.
Worth 15 minutes to see a live demo?
Subject: AI that finds missed orthotic orders Hi [Name], Two stats: only 20% of Ontario chiros order orthotics, and 40% of recommended treatments never get followed up on. We built an AI that fixes both — simplifies ordering to 30 seconds by voice, then automatically follows up with patients on unfilled recommendations. Your lab gets more orders. Clinics get less admin. Patients get better care. 15 min demo?