Solutions / Healthcare
AI agents for healthcare that give clinicians their hours back.
AI agents for healthcare handle the administrative layer around care: they draft the clinical note from the consultation, confirm and reschedule appointments, triage admin requests and prepare billing — inside the systems your practice already runs.
The clinical decision stays with the clinician; the paperwork stops eating the day.
Where it usually breaks
- Manual intake forms slow check-in
- No-shows clog the daily schedule
- Insurance eligibility checks delay care
Our healthcare work
Healthcare software we've put into production
In healthcare, the work we can show is clinical and regulatory software in production, built with the same engineering we put into agents: audit trails, integrations with clinical systems, and data protection designed in from the start.
European Union
Medical device QMS
Quality-management SaaS with 8 compliance modules, an ISO 27001-certified development process from day one and 21 CFR Part 11 e-signatures. Read the case.
United States
Precision nutrition in neonatal care
Decision platform integrated with Epic via HL7/FHIR: 94% protocol adherence after launch and 3× faster feeding decisions. Read the case.
- 94%Protocol adherence rate post-launch
- 3×Faster feeding-decision time
European Union
Real-time hospital management
Multi-hospital SaaS with live occupancy by ward and room, conflict detection at allocation and WCAG accessibility. Read the case.
What are AI agents for healthcare?
AI agents for healthcare are software agents that take over the repetitive, non-clinical work of a practice: turning the consultation into a structured note ready to review and sign, confirming appointments and refilling no-show slots, reading and routing admin requests, and preparing insurer billing with exceptions flagged for a person. The boundary is explicit by design — the agent prepares, the clinician decides — and every action is logged.
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Health data is special-category data under GDPR, so architecture comes first: what is processed where, what never leaves your systems, and a full audit trail. This is the same production engineering as the rest of our AI agent work — see the medical voice-recognition assistant we run for documentation.
Top use cases for AI agents in healthcare practices
Where an agent pays back first in a clinic, a private practice or a diagnostic centre. All six stay on the administrative side: the agent prepares, the team and the clinician decide.
Ambient clinical documentation
Transcribes the consultation and drafts the structured note — complaint, history, assessment, plan — ready to review and sign in your practice software. The 10–15 minutes per consultation clinicians spend typing, returned.
No-show reduction & schedule fill
Multichannel confirmations with one-tap rescheduling, and a waitlist agent that refills cancelled slots — the invisible revenue leak most practices never measure.
Admin triage of patient requests
Reads the email or message, classifies it — booking, results, referral, billing — answers the routine ones and routes the rest with context attached, instead of one shared inbox someone empties by hand.
Billing & insurer preparation
Extracts the acts, matches insurer tables, prepares claims and flags exceptions for human review — fewer rejections, fewer end-of-month reconciliation days.
Patient FAQ, out of hours
Exam preparation, directions, insurance coverage, opening hours — answered instantly at any hour from your own information, with a clean handoff for anything clinical.
Referral & document intake
Collects referrals and documents, checks completeness, chases what's missing and files the complete case — before a person touches it.
Agents already designed for this sector. Each one is adapted to your stack before it goes live.
- Patient Intake Agent
Cut waiting room paperwork.
- Appointment Scheduler
Fill calendars automatically.
- Insurance Verification Assistant
Reduce claim denials.
- Follow‑Up Reminder Agent
Improve adherence & reviews.
- Medical Voice Recognition Assistant
Reduce administrative burden.
- Medical Billing Scrubber
Reduce rejections and AR days.
Practice-software add-on, custom agent, or more admin staff?
Practice-management add-ons automate fragments inside one product. A custom agent works across your channels and systems — and unlike headcount, it covers nights, weekends and volume spikes at flat cost.
- What we build
Custom AI agent
Across your systems
- Works across email, phone, WhatsApp, portal
- Yes
- Drafts clinical notes from the consultation
- Yes
- GDPR architecture decided by you
- Yes
- Covers nights & weekends
- Yes
- Integrates with your existing PMS
- Yes
- Cost at 2× patient volume
- Flat
PMS add-on
Inside one product
- Works across email, phone, WhatsApp, portal
- One product
- Drafts clinical notes from the consultation
- No
- GDPR architecture decided by you
- Vendor's terms
- Covers nights & weekends
- Yes
- Integrates with your existing PMS
- Is the PMS
- Cost at 2× patient volume
- Per-seat/module
More admin staff
Manual today
- Works across email, phone, WhatsApp, portal
- Yes
- Drafts clinical notes from the consultation
- No
- GDPR architecture decided by you
- Yes
- Covers nights & weekends
- No
- Integrates with your existing PMS
- Yes
- Cost at 2× patient volume
- More headcount
How much does an AI agent for a clinic cost?
A first agent on one workflow — appointment confirmations and no-shows, or admin triage — starts at €1,500, fixed price, delivered in about two weeks (~12 business days). Multi-step agents wired into your practice software and billing start at €2,500 per agent. After launch you pay the model tokens, capped per run, with no per-seat licence. Either option can also be paid as a fixed monthly fee instead of the one-off setup, with hosting, maintenance and tuning included — see packages and pricing.
- ✓One agent, one workflow
- ✓Eval harness included
- ✓2-week delivery
- ✓Multi-step workflows
- ✓Tool-use & integrations
- ✓Cost ceiling per run
- ✓Audit log on every field
- ✓On-prem or private cloud
- ✓HIPAA / GDPR posture
- ✓SLA & support
- 0130 minAssessment
30 minutes with a principal engineer. We map your workflow and find the highest-impact agent.
- 02~12 business daysPilot
One agent in production in ~12 business days. Fixed price.
- 03With every agentEvalsAutomated quality tests
Every agent ships with an eval harness (a suite of tests run against real cases) and a cost ceiling per run.
- 04OngoingRoll-out
Scaled across the operation, documented, handed over. No lock-in: the code and the accounts are yours.
AI agents for healthcare are autonomous software agents that handle a practice's non-clinical workload — documentation drafts, appointment confirmations, admin triage, billing preparation — inside the systems the clinic already runs, with every action logged and the clinical decision always left to the clinician. They are custom-built around your workflows, not a closed product bolted on.
No — and it must be designed so it can't. Diagnosis, prescription and clinical triage stay with clinicians; systems that support clinical decisions are regulated medical devices, a different category with its own certification. Our agents work the administrative layer: they prepare, the professional decides. That boundary is written into the agent's limits, not left to good intentions.
Health data is special-category data under GDPR Article 9, so the architecture is designed first: where data is processed, what never leaves your systems, data-processing agreements across the chain, minimisation, and an audit trail of every action. For large-scale health data processing a DPIA is typically required — we prepare the technical inputs for it. Ask any vendor to show you this before signing.
That's the design constraint we start from: notes, bookings and billing land in the system you already use, via API where one exists. The goal is that clinicians and staff don't change tools — the work just arrives done, ready to review.
Two to four weeks for the first production agent on one workflow — usually confirmations/no-shows or admin triage, the lowest-risk entry points — at a fixed price agreed up front. Documentation agents take longer to tune to your specialty's vocabulary. In Portugal, the PRR's «IA nas PME» line funded 75% of this kind of project for SMEs, but it has no application window open as of 14 October 2026.
For a practice, the best first agent is the one with the most volume and the least clinical risk: appointment confirmations with waitlist refill, or triage of the admin inbox. Documentation agents return the most clinician time but take longer to tune. Anything that diagnoses or triages clinically is a regulated medical device — a different product category, not a first agent.
Book your assessment.
Talk directly to a principal engineer.
No sales team.
No discovery workshops.
No procurement circus.
We scope, build and ship.
- Reply within one business day
- Engineer-led assessment
- Written proposal
- Lisbon · UK time zone
No commitment. Just an engineer.

