AI for Fertility Clinics
A clinic-governed AI layer over the work around the chart (answering patients, reading referrals, documenting encounters and chasing follow-up) with a clinician signing anything that reaches the record.
This page sets out what AI is used for in a fertility clinic today, which parts a person still has to sign, and which decisions it should never be near. If you are looking for the documentation piece specifically, that has its own page.
Where AI belongs in a fertility clinic, and where it does not
The useful question is not what AI can do. It is which parts of the work a clinic is willing to have done without a person watching.
There are three honest categories. Work AI can do unsupervised, because being wrong is cheap and recoverable, answering a call at two in the morning to say the clinic opens at eight, or sending an appointment reminder. Work AI can draft but a clinician must sign, because being wrong is expensive and the correction has to happen before it enters the record: clinical notes, referral data, after-visit instructions. And work AI should not touch, because the decision belongs to a person who is accountable for it: what the protocol should be, what the embryo result means for this couple, whether to continue. Most disappointment with clinical AI comes from a tool sold as the first category doing work that belongs in the second.
Answering patients
Phone, SMS, email, web chat
An AI phone assistant answers calls day and night, collects what it needs, and queues a callback rather than guessing when a question should go to a person. Texts, emails and web chats arrive in the same worklist, so one patient across three channels is one conversation.
Reading referrals
OCR into a structured record
Faxed, emailed and scanned referrals, handwritten or typed, are read into structured fields. Staff confirm what the system flags instead of retyping, and the original freezes as a read-only record of what actually arrived.
Documenting encounters
Drafted, reviewed, signed
Consultations, monitoring visits, calls and messages are drafted into the clinic's own note templates, with every sentence traceable to the transcript line behind it. A clinician reviews and signs before anything enters the record. See the AI medical scribe for fertility clinics.
Chasing follow-up
Sequences the clinic authors
Automated outreach runs a sequence of touch-points your clinic writes and versions (text, call, wait, a consent question, a booking offer) until the patient engages or opts out. See patient follow-up automation.
Supporting patients between visits
A companion, not a clinician
Eva answers patient questions from clinic-approved sources with escalation to your team built in, which is the part that makes it safe rather than the model behind it. See the AI fertility companion and patient support AI.
Showing the clinic itself
Volume, resolution, gaps
Analytics on call volume, resolution and engagement gaps give leadership a view of what is actually happening across locations and teams, built on one connected record rather than reconciled from five.
Clinician-led by construction, not by policy
The controls that matter are the ones a clinic can check, not the ones a vendor describes.
Every note is a draft until a clinician signs it, and the draft shows where each sentence came from so reviewing it is faster than rewriting it. The assistant works from clinic-approved sources with configurable guardrails and defined escalation, so the boundary is a setting your clinic owns rather than a claim about model behavior. Consent is captured before recording starts and a patient can decline, in which case nothing is recorded. Audio retention ships at zero days, so keeping it is something a clinic switches on deliberately. Role-based access and a full audit trail mean the question of who saw what has an answer. None of that makes the model better; it makes the failures visible and reversible, which is the part a clinic is actually buying.
Questions clinics ask about AI
Asked the way they are actually asked, including the uncomfortable ones.
Does AI make clinical decisions?
No. Nothing enters the clinical record without a clinician reviewing and signing it, and the system flags what an encounter did not support rather than filling the gap. Protocol choices, result interpretation and treatment decisions belong to your clinicians, and the software is built so that it cannot quietly take them.
Is our patient data used to train models?
Where data is processed, who else can see it, and what happens to it are set out in full on the security page, which is the single place we answer hosting and data questions so the answers cannot drift apart across the site.
What happens when the AI gets something wrong?
That depends on which of the three categories the work sits in. A misread referral field is flagged for confirmation before it becomes data. A drafted note is wrong only until the clinician reviewing it corrects it, which is why traceability to the transcript matters more than raw accuracy. An answer given to a patient on the phone is the highest-risk case, which is why the assistant escalates rather than improvising when a question falls outside its approved sources.
Do we need to replace our EMR to use AI?
No. Fertiligent runs alongside your record system and delivers clinical events to it in FHIR R4. See [EMR integration](/fertility-emr-integration/) for what is sent and how.
Can we turn on one thing and not the rest?
Yes. Each module and each intake channel is enabled per clinic, and each is priced as its own line, so a clinic that wants referrals read but not the phone answered pays for one and not the other. Most clinics start with one and add the rest once the first is working, which is also the only way to tell whether it helped. The lines and what they cost are on our [pricing](/pricing/) page.
Can it run in our own environment?
Yes. On-premises, private cloud and hybrid deployments are available alongside the hosted option, for clinics whose governance model requires it.
See what it does on your own material
A live demo on synthetic data now, or a walkthrough on your referrals and recordings.
The live demo runs on a fictional clinic and needs no conversation with anyone. When you want to see it against your own de-identified referrals and call recordings, book a demo and we will say up front what we can show and what we cannot yet.