For veterinary clinics

Get vets out of medical records. Keep clients informed between visits. Fill the wellness schedule.

Independent and group veterinary practices. Your DVMs are drowning in SOAPs and client communication, your techs are tired of explaining payment options at the counter, and the wellness schedule has holes because nobody's working recall. We wire automations into the back office so the clinic can stay clinical.

Serving North America jurisdiction-specific requirements confirmed during scoping

Veterinary medicine is in a genuine staffing crisis. DVM burnout is elevated; tech turnover is high; front desk roles have become extraordinarily difficult jobs. Meanwhile client expectations for communication and transparency have risen dramatically, the same pet owner who ghosted a 48-hour callback ten years ago now expects same-day text updates on their boarded dog.

The operational picture in most independent veterinary practices is: DVMs finishing notes at home, techs doing triage work they're not compensated for, front desk explaining estimates to clients who weren't prepared, and the recall list nobody works because the team is running on fumes. The opportunity for AI is explicitly to take back time for the humans, not to replace the medicine, not to pretend to be the DVM, and not to deploy any automation that reduces the trust relationship between the vet and the client.

What tends to work in practice: DVM-side voice-captured SOAP drafting, client communication automation for the 70% of interactions that are status/cost/scheduling, pre-visit intake for new clients and patients, and classified recall for wellness and vaccine lapses. What tends not to work: anything that impersonates the vet, anything that makes pet owners feel less cared for, anything that touches clinical decisions.

This page is not legal, regulatory, tax, or professional advice. Data handling and jurisdiction-specific requirements are documented in the engagement scope; no control or certification is implied. Read the scoped data-handling approach.

Where a carefully scoped workflow may earn its keep.

  1. 01

    DVMs writing SOAPs from memory at 8pm

    Vets routinely see 20-28 patients a day and write records from memory in the evening. Voice-captured in-exam drafting (with DVM review and sign) typically recovers 60-90 minutes of personal time per DVM per day.

    1+ hour/day per DVM
  2. 02

    Estimate sticker shock at the counter

    Clients routinely agree to treatment during the exam and balk at the estimate at checkout. Pre-visit estimate preparation and structured pre-authorization workflows dramatically reduce both the shock and the front-desk arguments, and lift treatment acceptance meaningfully.

    Treatment acceptance lift on high-value cases
  3. 03

    Boarding, surgery, and admit communication eating tech time

    Status updates for boarded patients and pre/post-surgical clients consume hours of tech time per day. Structured update templates with tech approval before sending preserve the personal touch while eliminating the typing load.

    Meaningful tech hours / week reclaimed
  4. 04

    Wellness and vaccine recall that never gets worked

    Most clinics have hundreds of patients overdue for annual exams or lapsed vaccines, and no one has bandwidth to reach out. Classified recall outreach, tailored to species, age, historical engagement, and specific overdue service, typically reactivates 18-30% within a quarter.

    18-30% wellness reactivation
  5. 05

    Client messaging channels that nobody can keep up with

    Phone, email, text, client-portal messages, occasional Facebook, the modern veterinary inbox is chaotic. An assisted triage that routes routine inquiries to auto-responses (with clear labeling) and escalates only what needs human judgment cuts front-desk communication load 40-60%.

    40-60% communication load reduction
Pattern study

3-DVM mixed-practice veterinary clinic: DVM charting time

A three-DVM mixed-practice clinic was averaging 2.5 DVM hours per day on SOAP notes, all after clinic hours. Burnout was rising and one DVM was actively job-hunting. We deployed a voice-captured SOAP drafting workflow calibrated to their templates and species mix (they ran 70% small-animal, 30% equine and bovine farm calls). DVM charting time dropped to an average of 45-60 minutes per day, done in the clinic, not at home. The DVM who had been job-hunting pulled out of the market; retention issue defused.

Result: DVM charting: 2.5 hrs/day → 45-60 min/day

Estimate the opportunity in your own numbers.

Directional scenario only. This calculator does not validate inputs, estimate implementation cost, provide a quote, or predict a result. Confirm assumptions against your own records.

Questions to resolve before implementation.

Do you work with AVImark, Cornerstone, ezyVet, or Instinct?

Yes, plus the smaller PIMSs. Integration via API or structured export, depending on the platform.

Is client data protected?

The required data handling, vendors, access, review steps, and jurisdiction-specific obligations are identified during scoping and documented in writing. No certification, agreement, hosting model, or technical control should be assumed from this page.

Our DVMs are exhausted and skeptical of new software. How do you handle that?

By making the DVM-facing piece as minimal as possible, voice capture, a review screen, a signature. Nothing else. DVMs don't learn a new system; they finish their day earlier. We've seen the skeptical ones become the strongest advocates within a few weeks.

What about emergency / urgent care clinics?

Different rhythm, but the core automations still apply, especially estimate preparation and post-discharge client communication. Triage decisions stay entirely human.

Mixed-animal / large-animal / equine practice, does this work for us?

Yes. The templates are configured per species mix and practice type. Farm-call logistics add some complexity around documentation, which we handle during scope.

Describe what is actually happening in this workflow.

Glen replies in writing with whether a Nano-Pilot fits or the honest answer is “not yet.”

Send a written intake