AI-native operating
system for dental clinics.
Role
Brand, product, UX architecture, and AI workflows — all from zero.
I joined Remedico when the company was three people and a blank Figma file. Over three years, I shaped the product, brand, and AI-driven workflows behind a dental SaaS used by clinics across Dubai and the UAE.
The work became less about designing screens and more about designing how a clinic thinks, moves, communicates, and makes decisions.
Scope
30+
Product modules
3 yrs
As founding designer
2×
AEEDC Dubai presenter
Challenge
Dental software has to be clinically accurate, operationally fast, and trusted under pressure.
Clinical precision
Doctors need charting, diagnoses, perio measurements, and treatment plans to reflect real clinical logic — not generic SaaS patterns.
Operational speed
Front desk teams manage calendars, bookings, confirmations, payments, patient communication, and last-minute changes at speed.
Regulatory trust
The UX had to support clinical compliance expectations including NABIDH and ICD-10 alignment while remaining usable in everyday clinic work.
Architecture
A system of connected clinic workflows — not isolated features.
Calendar
Appointments, chair time, doctors, statuses, confirmations, conflicts.
Online Booking
Patient requests flow into the calendar for clinic approval and scheduling.
Treatment Plans
Diagnoses, procedures, phases, healing periods, and booking actions.
Dental Chart
Tooth-level diagnoses, procedures, voice input, and clinical context.
Communication Hub
WhatsApp, SMS, email templates, triggers, reminders, confirmations.
AI Assistant
Voice diagnosis, perio guidance, agentic workflows, clinical support.
Calendar
The operational command center.
For dental clinics, the calendar is not just a schedule — it is the live map of capacity, doctor availability, patient flow, and revenue.
I designed workflows that support clinic teams throughout the day: creating appointments, managing statuses, handling booking requests, and connecting with treatment plans.
Online booking
Simple for patients. Operationally safe for clinics.
Patients request appointments through a clean booking flow while clinic teams retain full control over approval and scheduling.
Balancing conversion with operational reality: patients need speed, clinics need accuracy.
Treatment plans
Clinical decisions connected to real-world execution.
A treatment plan can include diagnoses, procedures, phases, notes, healing periods, costs, and follow-up bookings.
I designed workflows that turn the treatment plan from a static document into an operational loop between doctor, patient, front desk, and calendar.
Dental chart
A chart dentists could actually trust.
AI features
Voice diagnosis and AI-guided periodontal examination.
AI Voice Diagnosis
Doctor dictates a diagnosis — it pins directly to a specific tooth on the chart. Voice capture, transcript review, tooth selection, AI interpretation, structured confirmation.
AI Perio Agent
AI guides the periodontal exam step by step — capturing values, reducing friction between dentist, assistant, and system without interrupting clinical rhythm.
Brand system
Visual language built from zero.
I created the Remedico brand identity from scratch — clinical, trustworthy, modern. The system extends across product, website, sales materials, exhibitions, and AI features.
Marketing website
Complex product, simple story.
The site communicates trust and product value to clinic owners. Bridge between a complex EMR and a clear sales narrative.
Real world validation
Presented at AEEDC Dubai 2023 and 2025.
I personally presented Remedico at AEEDC Dubai — direct exposure to clinic owners, dentists, and operational teams who would rely on the system.
Every feature had to survive the reality of a working clinic, not just look polished in Figma.
Behind the build
How we built it.
Outcome
From a blank Figma file to a living product system.
Remedico became the project where product design expanded into systems design: understanding the domain, structuring operational workflows, designing for trust, and shipping through an AI-native pipeline.
