Every fertility doctor knows the pattern: the consultation itself is fifteen or twenty minutes, but the work around it, pulling up cycle history, cross-checking test results, drafting the follow-up notes, answering the same explanatory questions patients ask every single day, eats far more time than that. This year at ESHRE, we’re showing something built specifically for that gap: conversational AI designed to sit inside the consultation workflow, not replace the doctor in it.
What problem this is actually solving
This isn’t another chatbot bolted onto a patient portal to deflect support tickets. The starting point was different: doctors spend a meaningful share of consultation time on tasks that are informational, not clinical, retrieving a patient’s history, explaining a protocol they’ve explained a hundred times, summarizing what happened in the last cycle before deciding what’s next.
Conversational AI, used well, can absorb that layer. Used badly, it becomes one more system a doctor has to fight with mid-consultation instead of one that helps. We built with the second failure mode explicitly in mind.
What it does
- Surfaces relevant patient history conversationally, so a doctor can ask a natural-language question about a patient’s cycle history instead of navigating through multiple screens to reconstruct the timeline manually.
- Assists with documentation, drafting consultation notes and summaries that the doctor reviews and finalizes, not autonomous documentation, but a meaningful reduction in the administrative tail of every visit.
What it deliberately does not do
It doesn’t make clinical decisions. It doesn’t recommend treatment changes. It doesn’t replace the conversation between doctor and patient, it removes friction around that conversation so there’s more room for it. Any output that touches clinical judgment stays a doctor’s call, reviewed and confirmed, not an automated suggestion acted on directly.
We’re saying this plainly because the fertility tech space has no shortage of AI claims that quietly overreach. This one is scoped on purpose.
Why now
Conversational AI has gotten genuinely good at natural, context-aware dialogue over the past couple of years, good enough that it can be useful inside a clinical workflow without feeling like a gimmick layered on top of it. At the same time, doctors and clinic directors are under real pressure: consultation volumes are up, administrative load hasn’t gone down, and patient expectations around responsiveness keep rising. The technology and the need arrived at roughly the same time.
See it at Stand A36
This is exactly the kind of thing that’s hard to evaluate from a description and much easier to judge in person. If you’re at ESHRE 2026 in London, come see it live at Stand A36, bring your hardest questions about where the boundaries are, because those are the ones worth asking.
