Less Admin. More Care.
AI Built for Healthcare
Clinicians spend more time on documentation than on patients. Prior auth is a week-long fax exchange. These aren't technology problems — they're workflow problems with technology solutions. We build the systems that fix them.
What's Actually Getting in the Way
Clinicians are documenting, not treating
The average physician spends 2 hours on EHR documentation for every hour of patient care. That's not a data problem — that's a burnout pipeline. The work is repetitive, high-volume, and structurally suited for automation.
Prior authorisation is a week-long paper trail
Prior auth requests get submitted, lost, resubmitted, and followed up manually. Your team is spending hours per patient on a process that exists only to create friction. AI can automate the generation, tracking, and follow-up — without adding headcount.
Patients are calling with questions you've answered a thousand times
Appointment confirmations, test result status, billing queries, medication refill requests — your front desk handles the same calls on loop. Each one is a 5-minute interaction that an AI can handle in 30 seconds.
Patient data is fragmented across systems that don't talk
Lab results in one system, clinical notes in another, insurance data in a third. Clinicians are manually reconciling records before they can treat. That's time, and in healthcare, time is clinical risk.
AI Systems We Build for Healthcare
Clinical Note Automation
AI-assisted documentation from visit transcripts and structured inputs — generates draft notes for clinician review, not final records. Cuts documentation time without cutting clinical oversight.
Patient Triage & Intake Bots
Intelligent intake that collects symptoms, history, and urgency signals before the patient reaches clinical staff — so clinicians arrive at the encounter already informed.
Prior Auth Workflow Automation
Auto-generate prior authorisation requests from clinical data, track submission status, and flag follow-ups — reducing manual effort per request from hours to minutes.
EHR Data Extraction & Normalisation
Pull structured clinical data from unstructured EHR records, discharge summaries, and scanned documents — feeding clean data into analytics, care coordination, and reporting workflows.
Appointment Scheduling AI
Conversational scheduling that integrates with your calendar system — handles bookings, rescheduling, and reminders 24/7 without staff involvement.
Patient Query Bots
Handle common patient inquiries — test result status, appointment details, billing questions, medication refill requests — automatically, with escalation to staff for anything complex.
From First Call to Production
Discover
We map your current workflows, identify where AI creates real ROI, and validate the highest-impact use case with a working prototype — usually within 2–3 weeks.
Build
We architect and build the production system: data pipelines, model integration, API layer, and UI. Milestones are visible. No black boxes.
Measure
We instrument everything — accuracy, latency, usage, and business impact. You know what the AI is doing and whether it's working. Then we iterate.
Relevant Services
Frequently Asked Questions
Is your AI HIPAA-compliant?+
HIPAA compliance is about the architecture, not just the AI model. We build systems where PHI stays within your infrastructure — no patient data is sent to third-party AI APIs without a BAA in place. We use on-premise or private cloud deployments for anything that processes identifiable patient information, and we design audit trails that satisfy HIPAA's access and activity logging requirements.
Can the AI integrate with Epic, Athenahealth, or other EHR systems?+
Epic and Athenahealth both have FHIR R4 APIs for read/write access to clinical data. We've built integrations against FHIR-based APIs and have worked with HL7 data formats. What matters practically is your organisation's API access tier — Epic's FHIR access for third-party apps has specific provisioning requirements. We'll scope the integration accurately based on your system and access level.
Do you work with hospitals, clinics, or healthtech startups?+
All three, though the engagement looks different. Hospitals and large clinics typically need compliance-first architectures and integration with legacy systems. Healthtech startups usually need to ship fast and build AI into the product from day one. We adjust our approach based on where you are — not a one-size-fits-all delivery.
How do you ensure AI recommendations don't create clinical liability?+
We don't build AI that makes clinical decisions — we build AI that reduces administrative burden. Clinical note automation generates drafts for clinician sign-off, not final records. Triage bots collect and surface information; they don't diagnose. The AI handles the structured, repetitive work. The clinician retains authority over every clinical decision. That boundary is non-negotiable in how we design these systems.
Fix the Admin Problem. Free Up the Clinicians.
Tell us which workflow is eating the most time in your organisation. We'll scope an AI solution that fits your compliance requirements.
Get in Touch