From consultto note.
Mon AI listens to a consultation and turns it into a structured clinical note — history, examination, impression and plan — then reasons through the case and builds the flashcards a doctor revises from, all from the phone in their pocket.
One assistant, five ways to help
Mon AI records a consultation and, depending on the mode, writes it up as a formal note, reasons through a differential, brainstorms a symptom, offers guidance, or turns the topic into revision flashcards.
It listens, then writes
Voice capture turns a spoken consultation into a structured note — history, examination, investigations, impression and plan — instead of a blank page at the end of the day.
It helps you learn
Learn mode turns any topic into flashcards and quiz questions, graded easy to hard and saved to a revision deck for spaced repetition.
It reasons it out
Resident AI structures a partial consult into history, examination and investigations, a second pair of eyes on the case under time pressure.
Why do doctors spend more time on notes than patients?
Clinical documentation is the tax on every consultation — and it is where burnout starts. Mon AI is built to take the writing, the reasoning and the revising off the clinician's plate.
The note is the bottleneck — writing up each patient by hand, between patients, is where the day backs up and the detail gets lost. Answer → transcribed and structured live.
Reasoning under time pressure — a differential and a workup have to be recalled fast; an assistant that structures the thinking is a second pair of eyes. Answer → assistant modes that structure the case.
Revision never stops — medicine is a lifetime of exams and updates; turning today's case into tomorrow's flashcards keeps learning attached to real work. Answer → flashcards generated from the case.
What Mon AI set out to do
Take the writing, the reasoning and the revising off the clinician's plate — without ever letting the AI run ahead of the doctor.
Give the day back
- Turn a spoken consult into a structured note — history, examination, investigations, impression and plan.
- Reason through a case with assistant modes, not just transcribe it.
- Generate revision flashcards from the topics a clinician is working on.
- Keep every note dated, tagged and bookmarked in one place.
Why it was hard
- The clinical structure has to be correct and editable, not a free-text dump.
- AI behaviour has to be trustworthy under time pressure — a second pair of eyes, not a black box.
- Voice capture and transcription must hold up in a real consultation.
- Data-security requirements around clinical records need real work, phased carefully.
Who is Mon AI built for?
One audience — clinicians — with tools that flex from a senior's scribe to a resident's revision deck.
Doctors
Dictate a consultation and get a structured note back — history, examination, investigations, impression and plan — ready to review and sign.
Residents
Reason through a partial consult, brainstorm a symptom, and turn every case into graded flashcards for spaced repetition.
The consultation, written for you
What changes when the note, the reasoning and the revision come off the clinician's plate.
- Writing the note — Transcribed and structured live.
- Structure — History, exam, investigations, impression, plan.
- Clinical reasoning — Assistant modes that structure the case.
- Revision — Flashcards generated from the case.
- Records — Dated, tagged and bookmarked in one place.
- Writing the note — Typed after the consult.
- Structure — A free-text box.
- Clinical reasoning — From memory.
- Revision — A separate flashcard app.
- Records — Scattered.
What does Mon AI look like on the phone?
Seven screens from the app — from the day's notes to a finished clinical write-up.
Everything in one place
01 · HomeThe home screen surfaces recent notes and every AI mode, one tap away.
Scribe writes the note
02 · ScribeA full history, examination, investigations, impression and plan, generated from the consultation.
Resident AI reasons it out
03 · Resident AIStructured history, examination and investigations for a partial consult, with live voice capture.
Learn, exam-style
04 · LearnMedical questions graded easy, medium and hard, organised by topic.
Flashcards on demand
05 · FlashcardsAsk for flashcards on a topic and get the question, the answer and a quiz to add to a deck.
Every note, by date
06 · NotesAll notes, dated and tagged by condition, bookmarked for quick return.
Built for clinicians
07 · Sign-upSign-up asks the account type, because Mon AI is made for doctors and residents.
What does Mon AI say back?
The Learn mode is a conversation: ask for flashcards on a topic and Mon AI writes the card, the answer and a quiz to lock it in. Tap the card to reveal the answer.
Colour codes the note, so a doctor reads shape before words.
A calm purple carries the brand, while green, amber and crimson do real work — colour-coding a clinical note into history, examination, investigations and plan.
The scope, in one panel
Every number in this panel is delivered scope — what was designed, built and handed over on the digital health build for Mon AI. It leaves out traffic, conversion and revenue on purpose: those figures belong to the client, and we don’t publish numbers we cannot stand behind.
- Sector
- Digital healthClinical
- Audience
- Doctors & residentsIn their pocket
- Our role
- UI/UX designApp design
- Signature
- Voice → structured noteLearning deck
The five modes, in the hand
A closer look across Scribe, Resident AI, Learn and the notes a clinician keeps.
Screens are the delivered Mon AI UI, supplied by the project team.
The look, and why
Read from Mon AI's own design system — a calm purple Primary carries the brand, while green, amber and crimson do real work, colour-coding a clinical note into history, examination, investigations and plan.
Building a clinical AI app
What is Mon AI?
How does Mon AI turn a consultation into a note?
What are the different AI modes?
How long does it take to build a clinical AI app like this?
Building an AI product that has to be trusted?
Tell us how your business actually works and we'll tell you honestly what it takes to build — the clinical structure, the AI behaviour, the data security. No deck, no pitch.