An AI agent for medical labs and diagnostics
that handles booking and status, never interprets a result

Why medical labs and diagnostics lose money today

A diagnostic lab’s front desk spends a large share of its day on three repeat requests: booking a test, explaining how to prepare for it, and telling a patient whether results are ready. None of these require clinical judgment, and all of them currently take staff time away from sample handling and the parts of the job that do need a trained person. A patient who shows up without fasting for a test that required it, because the prep instructions were never clearly sent, usually has to rebook, which costs the lab a slot and the patient a wasted trip.

The second cost is the call volume around “is my result ready,” which spikes right after a test type’s typical turnaround window and clogs the same line patients use to book new appointments. The third is a quieter risk: a staff member trying to be reassuring on the phone can drift from “your result is in” toward something that sounds like an interpretation, which is exactly the liability a lab needs to avoid outside a doctor’s own reading of the result.

What we build

An agent that books tests against your real schedule, sends the exact prep instructions for that specific test type, pulled from a checklist built with your team, and tells a patient when results are ready with a secure link to view them, never the content of the result itself. Pricing and insurance FAQ run off your actual fee schedule.

The one hard rule in the playbook: no result interpretation, ever. The moment a question moves from “is my result ready” to “what does this number mean,” the agent says so and hands off to a doctor with the conversation attached. For labs running several branches, the agent checks real slot availability per location, so a patient is booked at the branch that actually fits their schedule rather than being told to call around.

Typical integrations: WhatsApp and Telegram for booking and status, your site chat for pricing FAQ, and your lab information system or booking tool where an API exists. We keep the agent’s test-menu and prep-checklist content in sync with your actual offerings, so a new test type added to your menu does not silently fall outside what the agent can book or explain correctly.

What stays with humans

Result interpretation, any clinical judgment about a patient’s specific case, and the decision to flag an urgent result all stay entirely with your doctors and lab staff. The agent’s job is logistics: booking, prep and status, never the medicine itself.

Price and timeline

Both run on the same 2 to 3 week build. Running cost is separate and usually $20 to $150 a month in model usage depending on volume, with a hard budget cap set before launch.

Related

Pair this with a Telegram bot for medical labs and diagnostics for a lighter booking-only flow, or a website for medical labs and diagnostics if the site itself needs work. See the full AI agents service page. A multi-location clinic marketing and intake build is detailed in the medical centres network case study, and the hard-rule escalation pattern this agent uses is the same architecture as the visa center AI support case study. Get a written plan with a fixed price for your lab.