Quicli
Quicli
From 'Hi' on WhatsApp to a doctor's prescription in minutes.
- Health, Care and Wellbeing
- AI, Agents & Data
- Application Development
01In short
Quicli in short
Doctor consultations on WhatsApp. Say 'Hi', describe your symptoms in your own language, and a real doctor's prescription arrives in the same chat, with medicines and tests ready to order.
- Product
- Quicli
- Domain
- Health, Care and Wellbeing
- Category
- Health platform · WhatsApp + web + doctor app
- Platforms
- WhatsApp, Patient web app, Doctor app (iOS, Android, web)
- Services
- Product design, Web development, Mobile app development, AI engineering
- Year
- 2025–2026
- 0Apps to download
- 11Languages
- 13,216Answer paths, no dead ends
- 2 minAutomatic doctor reroute
02Context
The story of Quicli
Challenge
In India, the first doctor most people consult is a search engine, and one search for a symptom can turn a cough into a night of worry. Seeing a real doctor means an appointment, a queue, a fee and often a video call nobody asked for. Quicli wanted to make proper medical advice as easy as sending a message, for everyone: the office worker between meetings, the parent with a feverish child, the retired veteran who finds apps confusing.
Approach
Quicli is a symptom-to-resolution service that starts on WhatsApp. A patient sends 'Hi', creates a profile for themselves or a family member, and answers a few simple questions about their symptoms in their own language. Their answers become a structured clinical summary for a real doctor, who reviews it and sends a signed prescription back to the same chat.
Prescribed medicines and lab tests are added to a cart automatically, the prescription can be read in the patient's own language, and Quicli checks in when the course of medicine ends. We designed and built the patient experience, the doctor app and the backend that connects them.
Insight
Meet people in the app they already trust, and do the hard parts where they can't see them.
Nobody downloads a new app when they feel unwell. Everyone already has WhatsApp. So WhatsApp became the front door and the delivery channel, and everything a chat window can't do well (a branching medical history, pictures of the body, payment) lives one tap away in a page that feels like part of the conversation. The complexity is real; the patient just never has to meet it.
2 hard problems
- P01Take a doctor's history from someone who will never download an app.How do you take a proper clinical history from a worried parent, a 64-year-old veteran or a first-time smartphone user, in their own language, without asking them to install anything or type a single medical word?
- P02Get a real doctor to answer in ten minutes, for ₹99.How do you promise a signed prescription within ten minutes at a price almost anyone can pay, when every case needs a qualified doctor's attention and doctors are only human?
03A doctor's history over WhatsApp
Hard problem 01 of 02
Take a doctor's history from someone who will never download an app.
How do you take a proper clinical history from a worried parent, a 64-year-old veteran or a first-time smartphone user, in their own language, without asking them to install anything or type a single medical word?
If the intake is confusing, people abandon it and go back to searching their symptoms. If it's vague, the doctor has to start the conversation from scratch, and the ten-minute promise and the low price both collapse. The intake has to be simple enough for anyone and precise enough for a clinician.
Why it’s hard
- F.01WhatsApp is a narrow pipeThree buttons per message, twenty characters per button, approved templates only after 24 hours, and no custom interface at all.
- F.02People don't speak in symptomsPatients describe how they feel, not what a doctor needs, often in one of many Indian languages and scripts, sometimes with low literacy.
- F.03A dead end is a lost patientOne question with no sensible answer, or a result that says nothing, and an anxious person closes the chat for good.
- 01FrameFind the valuable decision, workflow or experience.
The competitor is a search engine at 2am.
Quicli's rival isn't another health app. It's the late-night symptom search that leaves people more scared than informed. We framed the product around the people most failed by apps and appointments, and around one rule for the doctor: the case must arrive structured, not as a chat transcript to untangle.
- Designed for parents, older patients and first-time smartphone users
- No app, no appointment, no forced video call
- The doctor gets a structured history, never a raw chat
- 02DesignShape the interaction, context and control model.
Chat for the conversation. One tap for the questions.
We split the job by what each surface does best. WhatsApp handles the front door, status updates, the prescription and the follow-up. A light web flow, opened from a single button in the chat, handles everything WhatsApp can't: a branching medical questionnaire, pictures of body regions to tap, voice notes, photos and payment. Questions are multiple choice; patients pick what they speak and what they understand separately, because those are often different languages.
- WhatsApp for entry, updates, prescriptions and follow-ups
- A one-tap web flow for the history, photos and payment
- Tap a body region, record a voice note, or pick an option
- 03EngineerBuild the intelligence, agent and tool chain.
Thirteen thousand paths, and none of them dead-ends.
Behind the simple questions sits a clinical decision tree: 23 conditions, 138 questions and 13,216 answer combinations, each mapped to a likely diagnosis, medicines, tests and advice, and each flagged if it needs a hospital visit or a video call. Every question exists in 11 languages with three phrasings, so it reads naturally. Any option that would lead to an uncovered combination is hidden before the patient sees it. An AI then writes a short clinical summary for the doctor, with a mandatory red-flag line for symptoms that need urgent care.
- 23 conditions, 138 questions, 13,216 answer paths
- 11 languages, three phrasings per question
- Options that lead nowhere are hidden at run time
- Red-flag answers trigger hospital or video-call guidance
- 04ProveEvaluate performance, safety and economics.
Audit every path before a patient walks it.
A coverage audit walks the whole tree and lists every answer combination without a diagnosis. Condition by condition, those gaps were closed. Small-phone details that make or break usability, like inputs that zoom the page and break the flow, were found and fixed. And whatever the AI writes, a doctor reviews the case and signs the prescription.
- Automated audit for answer paths with no diagnosis
- Gaps closed condition by condition
- A doctor reviews and signs every prescription
- 05OperateDeploy, observe and improve in the real workflow.
A prescription people can actually read.
The signed prescription arrives in the chat as a PDF, with an offer to read it in the patient's own language. Translation keeps drug names in English for safety and turns dosing like 'before breakfast' into the patient's language, rendered with fonts for nine scripts and cached per language. Ratings are three buttons; an unhappy rating turns the patient's next message into the reason. When the medicine course ends, an approved WhatsApp template checks in, with fallbacks if the message window has closed.
- Prescriptions translated with drug names kept in English
- Fonts for 9 scripts, including Urdu
- Follow-up timed to the end of the medicine course
The answer · A doctor's history over WhatsApp
Chat for the conversation, one tap for the questions, and the patient's own language from 'Hi' to prescription.
- 0Apps to download
- 11Languages, end to end
- 13,216Answer paths, no dead ends
- 23Conditions covered
04A doctor in ten minutes
Hard problem 02 of 02
Get a real doctor to answer in ten minutes, for ₹99.
How do you promise a signed prescription within ten minutes at a price almost anyone can pay, when every case needs a qualified doctor's attention and doctors are only human?
Speed and price are the whole promise. A slow reply sends the patient back to searching; an expensive one excludes the people who need it most. The only way to make both work is to take every minute of busywork away from the doctor and make sure no case ever sits unattended.
Why it’s hard
- F.01Speed against economicsA ₹99 consultation has to pay a real doctor. That only works if each case takes minutes, not a quarter of an hour.
- F.02Doctors step awayOne unread notification can leave a patient waiting. The system can't rely on any single doctor seeing an alert.
- F.03The prescription isn't the endA patient still has to find the medicines and book the tests. Without help, many never do.
- 01FrameFind the valuable decision, workflow or experience.
The doctor's time is the product.
We worked back from the promise. Ten minutes from report to prescription, at a price that has to cover a doctor, means the doctor should spend those minutes deciding, not asking routine questions or searching for drug names. The case has to arrive ready, and the routing has to make waiting impossible.
- Worked back from a ten-minute, ₹99 promise
- Removed routine back-and-forth from the doctor's job
- No appointments: an on-shift pool instead
- 02DesignShape the interaction, context and control model.
A case that arrives already worked up.
The doctor app opens on a prepared case: the structured summary, the patient's history and past consultations, likely diagnoses and suggested medicines and tests from the decision tree. Voice notes are transcribed. Video is offered only when the law requires it or the doctor wants it. Doctors book two-hour shifts, and each shift has a capacity, so the load is planned rather than hoped for.
- Structured summary, history and suggestions on one screen
- Voice notes transcribed for the doctor
- Two-hour shifts with a planned capacity
- 03EngineerBuild the intelligence, agent and tool chain.
No case waits on one unread alert.
When a case is assigned, the doctor gets a high-priority alert every 30 seconds. If they haven't accepted within two minutes, the case moves automatically to the on-shift doctor with the most free capacity who hasn't already been tried, and the patient is told on WhatsApp. Assignment and capacity update together in one transaction, so two doctors never get the same patient. Prescribing searches a catalogue of about 254,000 Indian medicines, and the doctor signs on screen.
- Alerts every 30 seconds; automatic reroute at 2 minutes
- Reroute to the least-loaded doctor not yet tried
- ~254,000 medicines searchable while prescribing
- Patient kept informed on WhatsApp at every step
- 04ProveEvaluate performance, safety and economics.
Test the chain end to end.
The alert and reroute chain is covered by automated tests and was verified end to end with shortened timers before release. Real edge cases shaped it: consultations created already assigned once skipped the first alert, and that was fixed. Doctor ratings and a patient feedback form close the loop on quality.
- Automated tests for the alert queue and follow-ups
- End-to-end runs with shortened timers
- Ratings and feedback on every consultation
- 05OperateDeploy, observe and improve in the real workflow.
From prescription to medicine cabinet.
Doctors move on and off duty automatically with their shifts. Once a prescription is signed, the medicines and lab tests are already in the patient's cart, with checkout and delivery a tap away. And because Quicli remembers past consultations, the next doctor starts with the patient's history instead of a blank page.
- Doctors switched on and off duty with their shifts
- Medicines and lab tests auto-carted after every prescription
- Past consultations shared with the next doctor
The answer · A doctor in ten minutes
Do the doctor's paperwork before they open the case, and never let a patient wait on one unread alert.
- 10 minPrescription promise
- 30 sDoctor alert cadence
- 2 minAutomatic reroute
- ₹99Per consultation with a pass
05Glimpse of the product
A glimpse of the product.
Tap a screen to enlarge
06FAQ
Questions about Asymmetri.
Yes. Asymmetri designed and built Quicli, a doctor-consultation service that starts and ends on WhatsApp. Patients message 'Hi', complete a symptom history through a one-tap web flow, and receive a signed prescription, status updates, ratings and follow-ups in the same chat, using the WhatsApp Cloud API, interactive buttons, approved templates and WhatsApp Flows.
Asymmetri removes every step people don't need and replaces typing with choosing. In Quicli that means no app to install, multiple-choice questions instead of free text, pictures of body regions to tap, a voice-note option, separate 'I speak' and 'I understand' language choices, and a decision tree that hides any option leading to a dead end, so no one gets stuck.
Yes. Quicli runs end to end in 11 languages: English, Hindi, Bengali, Marathi, Telugu, Tamil, Gujarati, Urdu, Kannada, Malayalam and Punjabi. Every interface label and medical question is translated, with three phrasings per question, and prescriptions are translated with drug names kept in English for safety and rendered with fonts for nine scripts.
Asymmetri uses WhatsApp for what it does best (entry, updates, documents, quick replies and follow-ups) and moves rich interactions to a one-tap web flow that feels like part of the chat. For Quicli it designed around three-button replies, twenty-character titles and the 24-hour messaging window, using approved templates for later follow-ups with fallbacks if a send fails.
Asymmetri lets AI prepare the work and keeps clinical decisions with clinicians. In Quicli, a deterministic decision tree flags answers that need a hospital visit or a video call, an AI writes a short structured summary with a mandatory red-flag line for urgent symptoms, and a registered doctor reviews every case and signs every prescription. Translated prescriptions never translate drug names.
Asymmetri designs routing so nothing depends on one person seeing one alert. Quicli assigns each case to an on-shift doctor within planned shift capacity, alerts them every 30 seconds, and automatically reroutes to the least-loaded available doctor after two minutes, updating capacity in the same transaction and keeping the patient informed on WhatsApp.
Asymmetri is a hard problems technology company. It engineers AI systems, agents and digital products for global brands, across four areas: intelligence, process, experience and scale. Asymmetri works through four practices: AI agentic systems and data, application development, technology consulting, and innovation and R&D.
Every Asymmetri engagement runs one loop with five stages. Frame: find the valuable decision, workflow or experience. Design: shape the interaction, context and control model. Engineer: build the intelligence, agent and tool chain. Prove: evaluate performance, safety and economics. Operate: deploy, observe and improve in the real workflow. The loop repeats, so each pass lands closer to the target. Asymmetri's case studies show each hard problem moving through it.
Send a short brief through asymmetri.in/contact-us or email hey@asymmetri.in: the problem, what's in the way and your timeline. No deck or RFP is needed. Asymmetri replies to set up a framing conversation, then proposes a prototype or pilot with scope, team, timeline and what success looks like.
07More work