AI agents for sales teams in healthcare practices

A new-patient enquiry sits unread through a packed clinic morning, and by the time anyone replies the person has already booked with the practice down the road that answered within the hour.

→An agent reads each new enquiry from the web form, lead ad or directory listing, drafts a service-specific first reply with the booking link in about a minute, and queues it for your approval.

Half the people who ask about a first appointment reply once and then go quiet, and nobody has the time to work out who to chase, so the pipeline fills with enquiries that quietly die.

→An agent finds every enquirer without a booking after 48 hours, drafts a staged follow-up for each, and closes out the ones who will not book with a reason logged, so the list stays honest.

A GP sends three patients in a quarter, then nothing, and no one notices because the referral letters are filed one by one and the thank-you note never gets written.

→An agent logs each referral by referrer, drafts the thank-you, and flags any referrer who has gone quiet for sixty days, so the relationship gets attention before the patients stop coming.

Self-pay quotes and employer wellbeing proposals go out, then nobody tracks who answered, so revenue that was one polite nudge away from booking sits in an inbox for months.

→An agent tracks every open quote and proposal, drafts the nudge when one goes quiet, and reports which channels actually produce booked patients, leaving you to decide the price and the pitch.