Unlocking Tech

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
01 / Real work

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.

02 / What they are · use cases

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.

Keep reading

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.

03 / Sector agents

Agents already designed for this sector. Each one is adapted to your stack before it goes live.

04 / Build vs buy

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
05 / Pricing

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.

Starter
€1,500
setup per agent · one workflow
  • ✓One agent, one workflow
  • ✓Eval harness included
  • ✓2-week delivery
Request a quote
Medium
Most popular
€2,500
setup per agent · multi-step
  • ✓Multi-step workflows
  • ✓Tool-use & integrations
  • ✓Cost ceiling per run
  • ✓Audit log on every field
Request a quote
Enterprise
Custom
on-prem · compliance
  • ✓On-prem or private cloud
  • ✓HIPAA / GDPR posture
  • ✓SLA & support
Talk to a principal
06 / Process
  1. 0130 min
    Assessment

    30 minutes with a principal engineer. We map your workflow and find the highest-impact agent.

  2. 02~12 business days
    Pilot

    One agent in production in ~12 business days. Fixed price.

  3. 03With every agent
    Evals
    Automated quality tests

    Every agent ships with an eval harness (a suite of tests run against real cases) and a cost ceiling per run.

  4. 04Ongoing
    Roll-out

    Scaled across the operation, documented, handed over. No lock-in: the code and the accounts are yours.

Go deeper
07 / Frequently asked questions
08/Start the conversation

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.

Budget (estimated)
Timeline

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