Hospitals, clinics & diagnostics
Give clinicians their hours back without touching clinical judgement.
The highest-value AI in healthcare is rarely diagnostic. It is the documentation, coding, scheduling and follow-up work that pulls trained clinicians away from patients. We automate that first, and we keep a human in the loop wherever care is decided.
What we usually find
The cost lines that keep showing up
Doctors typing notes after hours instead of seeing patients
No-shows burning appointment capacity that was already scarce
Radiology and pathology backlogs with no triage of what to read first
Claims rejected for coding errors that a model would have caught pre-submission
Deployments
6 things we know how to ship here
What the audit usually finds first: after-hours documentation: clinicians averaging 90 minutes a day on notes (high saving); appointment no-shows: unmodelled, so capacity is lost silently (high saving); claim rejections, coding errors found only post-submission (medium saving).
Ambient clinical documentation
Speech + LLMTranscribe the consultation and draft a structured note the clinician reviews and signs, never files unread.
Consultation notes drafted in seconds
Imaging triage & pre-read
Medical imagingRank the study queue so urgent findings surface first, with the radiologist making every call.
Critical findings reach a human sooner
No-show & capacity prediction
Predictive MLPredict which appointments will be missed and overbook precisely enough to recover the slot without a waiting-room pile-up.
Recovered appointment capacity
Claims & coding assistance
Document AISuggest codes from the note, then flag the mismatches that cause rejection before the claim is submitted.
Lower rejection and rework rate
Patient support agent in Bangla
Conversational AIAnswer preparation, timing, medication and billing questions in the patient's own language, escalating anything clinical.
Front-desk call volume absorbed
Inventory & pharmacy forecasting
ForecastingForecast consumption of drugs and consumables so stockouts and expiry write-offs both fall.
Less expiry waste, fewer stockouts
On-premise / private cloud · HL7 & FHIR interfaces · Audit trail on every inference · Human-in-the-loop by default
Proof
What we have shipped in healthcare
Projects tagged with this sector, plus anything pinned to it in the admin.
Other playbooks
Sectors we also work in
Operating somewhere else? The audit looks at workflows, data and cost, not at your industry code. If we don't think we can help, the first call is where we'll say so.