Healthcare
Most calls to a clinic aren't about medicine. They're about an appointment that needs moving or a bill nobody explained. Voice AI Agent takes those administrative calls, and it's set up to hand clinical questions to your staff with the details already taken.
What goes wrong
Your reception answers the phone between the patients standing in front of it. The calls that stack up are mostly administrative, and they hold the line for the ones that aren't.
The lines open, and everyone who woke up needing an appointment calls at the same moment.
A patient calls to ask whether the referral arrived, and the person who answers has no quick way to check.
An invoice that splits the insurer's share from the patient's gets the same explanation on call after call.
A patient who couldn't get through to cancel simply doesn't come, and the slot sits empty while someone else waits for one.
What the platform does
Visor's AI agents take the administrative side of the line, and your staff keep everything clinical. The agents don't give clinical advice, and they're set up to pass a clinical question to a person.
You write the scenarios your appointment line really sees, like the patient moving a consultation, or the one asking about a test result, who has to reach a person. Each one runs against the agent repeatedly, with success criteria you set, so you know how it behaves before it answers a patient.
In Chat AI Agent you describe, in plain language, what the agent must not handle, such as a symptom or a question about medication. A conversation that matches is flagged critical, and a person on your team steps in. The agent isn't set up to give clinical advice, and it doesn't try.
Many patients would rather write than call. Chat Agent answers on your website and on WhatsApp with the practical things, like where to go and what to bring, and with your scheduling system connected it can move an appointment without anyone picking up the phone.
Questions about an invoice, or about which insurers you work with, are answered from the documents you publish, kept in sync with the knowledge base. Compare with index shows when a replaced price table was never reindexed, so the answer matches this year's prices.
Health data is special-category data under the GDPR. Before go-live, we agree with your data protection officer what the agents may ask for, and where conversations and recordings are kept. The agents are set up for administrative contact, and the scope written before work starts says so.
Our clients
From kickoff to go-live, you work with named people who know your project, whether you come to us directly or through a partner.
We agree on what's in and what's out before we start, so everyone knows what success looks like.
Performance metrics are part of the build, so you see results from your first day in production.
We test end to end, then your team validates it in real conditions before launch.
We train your people to run the platform confidently, and we stay by your side for as long as you need us.
The models generate each answer in the moment and can occasionally fail. Visor's work is to contextualise them, apply controls and tune continuously. The solution runs on specialist providers who, like any provider, do not guarantee total availability. Judge the AI Agent by the standard you would apply to an experienced colleague: consistent and improving performance, not infallibility. The go-live is the start of the improvement, not the end of the project.
