There’s a lot of noise around AI right now. But underneath the hype, something more interesting is happening: AI tools are becoming useful in real, practical ways especially when they’re built for a specific domain.
In fertility care, we’re starting to see what this could look like. Not just generic tools that generate text or answer questions, but AI that actually supports how fertility clinics work, from treatment planning to admin to patient finance.
We’ve been thinking a lot about what this means in practice. We’re not building AI for the sake of it. We’re rebuilding the infrastructure that supports fertility clinics and now we’re starting to add layers of intelligence that can save time, reduce risk, and help teams work more effectively.
Here are a few ways we see that happening.
Making AI useful by embedding it in the right place
The AI tools that will matter in fertility aren’t going to sit in a separate dashboard. They’ll be embedded into the systems you already use. That could mean:
Automatically creating a treatment plan based on decisions already made in the patient’s chart
Generating a structured patient summary before the consultation
Suggesting the right code or diagnosis based on the workflow
Spotting gaps in documentation or follow-up
The value comes when these tools are built directly into the flow of work not bolted on after or detached from the core system.
More than clinical workflows
We also see big opportunities for AI outside the direct patient interaction. Admin-heavy areas like finance, invoicing, consent tracking, and compliance documentation are all areas where AI can assist not by replacing staff, but by reducing repetition and catching things that would otherwise slip through the cracks.
This is something we’re focusing on with the financial tools inside wawa fertility. For example, AI can help clinics predict delays in payments, surface missing invoices, and monitor the financial progress of a patient’s treatment. It can also help ensure documentation is complete and traceable, without increasing the burden on your team.
AI needs infrastructure
One thing we’ve learned is that AI is only as good as the systems it's built on. For fertility clinics to benefit from these tools, the underlying infrastructure needs to be solid. That means structured data, privacy and security, and systems that reflect how fertility clinics actually work.
This is why we believe the combination of infrastructure and AI is where the biggest gains will come from. You need both.
It’s clear that AI has the potential to do more than create summaries or transcribe notes. If built well and built specifically for fertility it can help clinics scale without burning out their teams. And that’s something we all need.
If you're curious how we're approaching this, feel free to reach out.
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