Giving clinicians their time back with AI
Most GPs finish their last patient around 6pm. Then they sit down and start the other job — writing notes. Two, sometimes three hours of documentation for a day that already ran long. It's one of medicine's worst-kept secrets, and it's burning doctors out. This is the product that changed it for more than three quarters of Australian GP clinics.
The context
Australian clinicians spend an average of two to three hours every day writing notes. Not treating patients — writing about treating patients. For GPs seeing 30 consultations a day, that documentation often spills into evenings and weekends. It is one of the leading drivers of clinical burnout, and it contributes nothing to patient outcomes.
The company was built to fix this with an AI medical scribe: a system that listens to consultations in real time, understands medical terminology, and generates a structured clinical note within 20 seconds of the consultation ending. No typing during the consult. No dictation. No batch note-writing at 9pm.
One of our founders was part of the team that built, scaled, and drove adoption of this capability across Australia — from early product through to the practice management integration that brought AI to three in four GP clinics nationally.
What was built
Ambient AI clinical scribe
The core product: an AI that listens to a consultation in the background, understands medical terminology with high accuracy, and generates a structured clinical note the moment the consult ends. Notes adapt to each clinician's style and templates over time, learning preferred formatting, vocabulary, and level of detail from edits.
Note quality wasn't just "good enough." Independent assessment using the PDQI-9 clinical note quality framework found AI-generated notes scored 37.1 out of 40 — higher than manually written clinician notes at 34.6. The AI wasn't producing a shortcut; it was producing a better artefact.
Automated referrals, certificates, and care documentation
Beyond consultation notes, clinicians generate dozens of secondary documents per week: specialist referral letters, medical certificates, patient summaries, chronic condition management plans, and billing compliance documentation. Each pulls from the same clinical encounter — but was previously written from scratch every time.
Automation was built to generate these documents directly from the consultation record. A referral letter takes one click. Medical certificates are pre-populated from the encounter. Chronic condition management plans are structured to meet billing requirements automatically, reducing claim rejections and the administrative burden that follows them.
Scaling AI adoption through practice management integration
An AI scribe that requires clinicians to change their tools doesn't get used. The core insight: meet clinicians inside the software they already open every morning.
Integration was built with Australia's leading practice management software — used by the majority of GP clinics nationally — making AI available to 75% of the market without requiring any practice to adopt new tooling. Billing code suggestions surfaced inside existing workflows. Consultation summaries flowed directly into patient records. Clinicians gained AI capability without changing their day.
What this work taught us
Healthcare is where the cost of manual, repetitive work is most visible. In an independent clinical trial, clinician burnout dropped from 51.9% to 38.8% after 30 days with an ambient AI scribe. The documentation burden wasn't just wasting time — it was actively harming the people doing it.
And 68% of patients in the same trial reported that their clinician spent more time directly engaging with them during the consultation. The AI didn't just save the clinician time — it changed the quality of the patient interaction.
That's the kind of outcome we're looking to replicate in every industry we work in. Not "how do we automate the person out" — but "how do we remove the work that's getting in the way of the work that matters."
Running operations in healthcare, legal, insurance, HR, or sport?
We're in early conversations with operators across these industries. Tell us where the manual work is piling up — we'll tell you honestly whether we think AI can help.
Talk to us → hello@peoplease.ai