Patient intake & scheduling
AI handling appointment booking, pre-visit forms, insurance verification. Standard for specialty practices on non-mainstream EHRs.
Industry
Healthcare
Production AI for clinics, healthtech, and wellness companies.
Healthcare AI has moved past the demo stage. 1,000+ FDA-cleared AI/ML devices are in production. The opportunity for SMBs is workflow integration, intake, and clinical support, not building new diagnostic models.
Where AI fits in healthcare.
Six application areas where we ship production AI in this industry, chosen against the operational realities, not the buzzwords.
Clinical workflow assistance
Note summarisation, insurance pre-auth automation. Physician reviews, edits, and signs off.
Care coordination
Multi-stakeholder communication across caregiver, care-recipient, and clinician. Built on patterns proven with ButtonSimple.
Patient-facing engagement apps
Symptom-aware chatbots, condition-specific content, medication reminders. Designed for ongoing relationships, not one-off intake.
Mental health & wellness platforms
Membership-driven products that protect trust and privacy: content delivery, member matching, secure messaging. Patterns from Innergiving.
RAG over clinical knowledge bases
Retrieval over protocols, formularies, and internal documentation with source citations, role-based access, and clinician sign-off on outputs.
Related work
Where we've shipped this in production.
CAREGIVING · US ButtonSimple
Dual-mode caregiving mobile app with real-time updates across caregiver, care-recipient, and clinician.
Read case study ->
MENTAL HEALTH · US Innergiving
Trust-first mental health membership product: content delivery, member matching, and compliance-aware messaging.
Read case study ->
CONSUMER HEALTH · UK Gluf
AI for the gluten-free community: content, product discovery, and personalisation tuned to a sensitive consumer-health audience.
Read case study ->FAQ
Have you shipped healthcare products? +
Yes. ButtonSimple (caregiving), Innergiving (mental health), and Gluf (consumer health) are live. For HIPAA workflows we deploy on BAA-eligible cloud services or on-premise.
How do you handle patient data privacy? +
Privacy is architectural. Per-patient isolation, role-based access, encryption, audit logs. For HIPAA we use BAA-covered cloud services or on-prem deployment.
What does AI fit (and not fit) in healthcare? +
AI fits in administrative workflows (scheduling, notes, pre-auth), care coordination, content recommendations. AI does not fit in primary diagnosis or treatment decisions.
What does a typical healthcare engagement look like? +
A clinic AI workflow: triage, intake, documentation, or scheduling, typically ships in 10-14 weeks. Patient-facing AI applications run 12-16 weeks. Every milestone includes a clinical-safety review and audit-trail validation before promotion to production.
Tell us what you're solving for.
We'll listen first, ask the right questions, and follow up with a clear proposal.