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AI adoption: Healthcare

AI adoption in Healthcare

In healthcare, AI earns its place by giving clinicians time back. The path keeps patient data protected and a clinician responsible for every decision.

Book an assessmentBook an assessment
Use cases

Where AI pays off first

  • 01

    Clinical documentation

    Drafting notes and summaries from consultations for the clinician to review and sign.

  • 02

    Patient access

    Booking, reminders and common questions handled around the clock, with escalation to staff.

  • 03

    Records and claims

    Finding information across records and preparing claims and referrals.

The path

The path for Healthcare

Four stages, each ending with a decision. The first line of every stage is specific to your industry.

Step 1: Assess

Find where AI is worth it

  • Separate administrative use cases from clinical ones and classify the patient data each would touch
  • List the work that is repetitive, slow or stuck in documents
  • Score each use case by value, feasibility and risk

Use case scoring

12 assessed
Use caseValueFeasibleRiskClinical documentationPatient accessRecords and claims

Owner: Clinical operations lead

Measure: minutes of notes per visit

Step 2: Pilot

Prove one use case

  • Begin with note drafting or appointment handling, where errors are caught before they reach care
  • Build one narrow use case with real users and real data
  • Write evaluation tests before the first prompt

Pilot: clinical documentation

Week 4

Every note signed off

Note writing per visit

Baseline11 min
Pilot3 min

Decision: continue

Reviewed with the owner

Step 3: Integrate

Put it where work happens

  • Connect to the records system with consent, role-based access and a full audit trail
  • Connect to the systems people already use, not a separate tool
  • Add access control, logging and data protection

Connected systems

  • EHRNotes, after sign off
  • SchedulingAppointments
  • Patient portalMessages and forms
Access controlLoggingData protectionUsage policy
Step 4: Scale

Make it routine

  • Move toward triage and decision support only with clinical validation and oversight in place
  • Reuse the same platform, patterns and guardrails for the next use case
  • Move from assistants to agents where the evidence supports it

AI use cases

This quarter
  • Clinical documentationLive
  • Patient accessLive
  • Records and claimsPilot

6 hours a week

Back to each clinician

Healthcare

Care delivered digitally, with privacy built in.

Health products carry sensitive data and real consequences. We build patient, clinic and wellness software with privacy and reliability treated as features, not afterthoughts.

What we buildWhat we build

Find your first AI use case

Tell us about your business and where the time goes. We will come back with the use cases we would assess first and how we would test them.

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Your project plan

Ready five days after the first call

Share plan

Approach

Fixed scope
  • Start with sign-up and onboarding, the riskiest flow
  • Ship to a pilot group every week from week three
  • Add the invoice reading agent once data is flowing
First release
Week 4
Demos
Weekly
Code
Yours

Team

5 people
  • PLProduct lead
  • SESenior engineer
  • SESenior engineer
  • PDProduct designer
  • AIAI engineer

Timeline

10 weeks
Discovery
Design
Build
Launch