Give Menaela your website. She does the boring part of setup for you.
Onboarding starts as a conversation, not a configuration project. Share your clinic website and Menaela reads the public information already there, proposes a structured clinic setup, lets you correct it in plain language, and then asks only for the details it could not reliably find.
Most clinic software begins with a long implementation checklist: create the clinic, type every service, add every doctor, find the price list, then explain the business again to the AI. Menaela starts from information the clinic has already published. The onboarding agent turns the website into a first structured draft, shows its work, and uses conversation to finish the remaining gaps.
Not a demo prompt. These are product capabilities connected to the clinic’s actual data and workflows.
Website-first setup
Paste the clinic website URL and let the onboarding agent collect public clinic information instead of asking you to retype what is already online.
Structured extraction
Turn website content into editable clinic data such as clinic name, description, providers, services, prices and other operational context.
Review before save
Menaela shows what it found, so you can approve it, correct individual fields, remove wrong items or tell it what is missing before the clinic configuration is committed.
Ask only for the gaps
After website extraction, the conversation continues only with fields that still need a reliable answer — for example timezone, a missing price, or a provider detail.
Immediate operational context
The approved onboarding data becomes the context Menaela uses for staff requests and patient-facing questions about the clinic.
What the capability looks like when the request is slightly messier than a feature list.
Do not make the clinic type what it already published.
Menaela turns the website into a structured draft, shows what it found and asks only for the gaps.
Here is our website: https://exampleclinic.com
I found 3 providers, 8 services and prices for 5 of them. Dr Levi is listed as an internist. Is that correct?
No, he is a cardiologist. Remove physiotherapy too.
Updated. I still need your timezone and three missing prices.
The operational path behind a normal request.
Menaela introduces herself and asks for the user’s name so the setup starts as a normal conversation.
You share the clinic website URL. The onboarding agent reads the public site and extracts evidence-backed clinic information.
Menaela presents the proposed clinic profile — for example providers, services, prices and description — instead of silently saving everything it found.
You approve, correct or remove items in plain language. The agent updates the structured setup and keeps track of what is still unresolved.
Menaela asks the remaining questions one by one, such as timezone or a missing price, then completes the clinic configuration.
The resulting clinic context becomes immediately useful to Main Menaela and patient-facing conversations.
How the capability is bounded in the product, not just what appears in the interface.
Website content becomes a draft, not a blind import
The crawler provides source material. Menaela converts it into the clinic’s structured context, but the user remains in control of what is accepted.
Corrections are conversational
You do not have to hunt for the exact settings screen. You can say “drop this service”, “change the price to 450 NIS”, or “Dr Levi works only on Tuesdays” and review the updated result.
The agent asks fewer questions, not zero questions
A website rarely contains everything Menaela needs. The point is to remove redundant setup work, then ask only for operational details that cannot be safely inferred.
Onboarding creates reusable context
Approved clinic information is not just onboarding text. It becomes editable context used by staff and external agents when answering clinic questions and performing operations.
Natural-language requests Menaela can act on.
- No giant setup form before you can see the product working.
- The website is treated as evidence, not unquestioned truth: extracted data stays reviewable.
- You can correct the setup conversationally — “drop that service”, “Dr Cohen works only on Tuesdays”, “this price is 450 NIS”.
- The same clinic context later powers patient communication, booking and Main Menaela.
- Solo practitioners who do not want an implementation project
- Clinics with an existing website that already describes most services and providers
- Pilot clinics that need to get from sign-up to a useful assistant quickly
The onboarding agent does not treat every sentence on a website as authoritative clinic data. Extracted facts are presented for review, and uncertain or missing fields stay unresolved until the clinic confirms them.
Deeper explanations of the workflows and edge cases behind this capability.
Ready to hand over your practice management?
One fraction of the cost. Every hour of the day. The same calm voice at midnight as in the morning.
Start with Menaela