IntakeIQ is an AI intake agent that answers patient enquiries around the clock across phone, web form and message channels, triages each one against a rules-based urgency model, and books or escalates automatically. Anything flagged urgent pages an on-call nurse in real time instead of waiting in the same queue as routine questions.
Patient enquiries came in at all hours through phone, web forms and messages, but nothing was actually triaged until a staff member logged in the next morning. That's fine when the overnight queue is three messages long. It breaks down once it's thirty, because an urgent case sitting at message twelve looks identical to a routine one at message two until someone reads both — and by 8am, someone should already have been called.
We built an intake layer that never stops reading the queue:
The easy way to build this is to hand the whole triage decision to a language model and trust its judgment on what counts as urgent — it's fast to prototype and feels impressive in a demo. In a clinical setting, an unexplainable model call on urgency is a liability nobody can sign off on if it's ever wrong. We built the urgency decision as an explicit, auditable rules layer instead, and used the model only for understanding what the patient is actually asking — so every escalation has a traceable reason a human can review, not a black-box judgment call.
An AI agent framework handles conversation and understanding, a rules engine owns the urgency decision, and the practice's existing scheduling and messaging systems stay the source of truth for bookings.
Have a process that looks like this one? We'll map it and tell you what automating it would cost.
Start a projectA staffing firm's consultants spent mornings researching prospects instead of speaking to them.
A regional courier planned every route by hand each morning, delaying the first pickups.
Every return needed three back-and-forth emails before a label was issued.
Reconciliation pulled numbers from five systems into a fragile spreadsheet.
We'll map the work, tell you honestly whether it's worth automating, and scope it before anything is built.
