Patient enquiry handling, appointment workflows and document automation, built with strict access control, local model deployment where data can't leave, and a human in the loop on anything clinical.
Healthcare automation has a bright line: administrative work can be automated aggressively, clinical judgement cannot be automated at all. We build firmly on the administrative side of it and are explicit about that boundary.
Patient enquiries, appointment scheduling, reminders, intake forms and document handling are high-volume and consume clinical staff time that should go elsewhere. Those are the targets.
Data handling is the hard constraint. For workloads that can't leave your infrastructure we deploy models locally, so patient data never reaches an external provider.
Reception and coordination time spent on scheduling and intake is the most straightforwardly recoverable capacity in most clinics.
Patients enquire when they're unwell, not when reception is staffed. An always-on first response is materially better than a voicemail.
Which rules out most off-the-shelf AI tooling and is exactly why local inference matters here.

Access control, tenant isolation, audit logging, encryption and data residency, designed into the architecture…

Custom design and build, with search and AI visibility handled at the structure level from day one rather than…
No. We build administrative automation only, scheduling, enquiries, intake, documents. Anything touching clinical judgement stays with clinicians, and we'd decline work structured otherwise.
Yes. Local model deployment means inference happens inside your infrastructure and data never reaches an external provider. It costs more to run and it's the right call here.
Document automation covers parsing, validation and routing of that kind of paperwork, with a human approval step before anything is submitted.
Tell us what's actually breaking. If we're not the right fit we'll say so on the first call.