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App Corp
Full-service software engineering
Engineering your experience…
App Corp
Full-service software engineering
Engineering your experience…
A production-ready healthcare operations platform deployed in 12 weeks
Replace fragmented spreadsheets, manual scheduling, and disconnected admin workflows with a single AI-powered platform — admin dashboard, patient management, appointments, AI intake agent, billing, and mobile patient portal. Deployed to your infrastructure in 12 weeks.
7
Production modules
12 wks
Deployment time
1 (8+)
AI agents supported
Web+Mobile
Platforms delivered
This is a production-ready, AI-powered healthcare operations platform built on a proven architecture and customised for your organisation's workflows, deployed to your own infrastructure in 12 weeks.
The core platform architecture, module patterns, security model, and AI integration layer already exist — refined across multiple production deployments in healthcare, dental, cosmetic, and education verticals.
Phase 1 delivers 7 production modules: healthcare admin dashboard with role-based access, patient management, appointment and scheduling system, AI patient intake agent, billing and payments module, mobile patient portal (iOS and Android via React Native), and reporting dashboard. Plus one production AI agent (AI Patient Intake Agent) with architecture supporting 8+ additional agents in future phases. You own 100% of the code. Full source code via GitHub transfer, deployed to your own Railway and Supabase infrastructure.
Central control panel with secure authentication and role-based permissions for Admin, Reception, and Doctor staff. Patient overview, appointment overview, revenue summary, activity logs, and analytics.
Patient registration, digital profiles with visit history, medical notes, document attachments, and search and filtering. Organised, searchable patient records in one place.
Online appointment booking, calendar management, doctor availability configuration, appointment status tracking, and automated confirmation and reminder notifications.
LLM-powered conversational intake that collects symptoms, captures structured patient information, generates intake summaries, and routes patients with basic triage logic. Model-agnostic — supports OpenAI, Claude, Gemini, or open-source models.
Invoice generation, payment status tracking, revenue dashboard, and manual payment recording. Operational billing without insurance complexity — designed for private clinics and direct-pay practices.
Expo React Native app where patients can log in, view and request appointments, update their profile, and receive push notifications. Complete codebase delivered via GitHub — ready for App Store and Play Store submission.
Discovery workshops, UX and UI design customised to your practice, database configuration, authentication setup, and foundation modules — admin dashboard and patient management. Milestone: working backend and admin dashboard live on your infrastructure.
Appointment and scheduling system, billing module, AI Patient Intake Agent deployment, and notification infrastructure. End-to-end operational workflows running and testable.
Mobile patient portal build (Expo React Native), reporting dashboard with CSV export, comprehensive QA testing, and performance optimisation across web and mobile surfaces.
Production deployment to your Railway and Supabase infrastructure, full GitHub repository transfer (web + mobile), technical documentation, staff training session, and kick-off of 30-day post-launch support period.
A growing dental and cosmetic practice network with 3 locations was managing patient records across spreadsheets, paper intake forms, and a legacy scheduling system that could not scale. Patient intake was a manual 15-minute paper process. Appointment no-shows were at 22%. Staff spent 20+ hours per week on administrative tasks that could be automated.
We deployed the AI Healthcare Operating System across all 3 locations over 12 weeks. The platform unified patient management, appointment scheduling, billing, and reporting into a single interface. The AI Patient Intake Agent reduced intake from 15 minutes to under 3 minutes with structured data capture. The mobile patient portal gave patients self-service booking and profile management. Staff training was completed in two sessions across all locations.
Many of our best projects combine two or more services from the list below.
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Let's build something great
Book a free 45-minute scoping call. Walk away with a clear picture of what we would build, how long it would take, and how much it would cost — regardless of whether you move forward.
Average response time: 2 business hours. No commitment required.
"App Corp delivered a production-ready AI platform in 11 weeks that our internal team estimated would take 9 months. The architecture is clean, the docs are thorough, and the product works exactly as specified."
Emily Park
CTO, PetScreening
50+
MVPs
98%
Retention
10wk
Avg. launch