AI Healthcare Operating System - Deployed in 12 Weeks by Taimoor KhanAI Healthcare Operating System - Deployed in 12 Weeks by Taimoor Khan
AI Healthcare Operating System - Deployed in 12 WeeksTaimoor Khan
Cover image for AI Healthcare Operating System - Deployed in 12 Weeks

AI Healthcare Operating System — Phase 1 Deployment

$1,500/week · 12-Week Fixed Engagement · Total: $18,000


What You Get

A production-ready, AI-powered healthcare operations platform built on a proven architecture and customized for your organization's workflows, deployed to your own infrastructure in 12 weeks.
This isn't a project that starts from zero. 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. What you're paying for is the expertise to adapt that architecture to your specific practice, your workflows, your team, and your patients.
That's why this costs $18,000 and not $80,000. You're not funding research and development. You're funding a structured 12-week deployment where a proven system gets shaped around your reality — discovery, UX customization, workflow configuration, integration, testing, and production deployment included.
This is Phase 1: a focused operational foundation that replaces fragmented spreadsheets, manual scheduling, and disconnected admin workflows with a single modern platform. It is designed to be extended — Phases 2 and beyond are scoped and added as your needs grow.
This is not a hospital-grade enterprise EMR replacement. It is a lean, fast, automatable system built for clinics and healthcare operators who need to move quickly.

At a Glance

7 production modules
1 AI agent included (expandable to 8+)
Web + iOS + Android
Role-based access for 3 staff types
Proven architecture, customized for your workflows
Full source code ownership
30 days post-launch support
Launch in 90 days

What Gets Delivered

Production-Ready AI Healthcare Platform (7 Modules) — Fully deployed and operational healthcare operations platform covering admin dashboard, patient management, appointment & scheduling, AI patient intake, billing & payments, mobile patient portal, and reporting.
UX/UI Design for All Modules — Custom-designed interfaces for every module, branded to your clinic or practice identity.
AI Patient Intake Agent — LLM-powered conversational intake that collects symptoms, captures structured patient information, generates intake summaries, and routes patients with basic logic.
Mobile Patient Portal (iOS & Android) — Expo React Native app where patients can log in, view and request appointments, update their profile, and receive push notifications.
Healthcare Admin Dashboard with Role-Based Access — Central control panel with secure authentication and role-based permissions for Admin, Reception, and Doctor staff.
Appointment & Scheduling System — Online appointment booking, calendar management, doctor availability configuration, status tracking, and automated reminders.
Billing & Payments Module — Invoice generation, payment status tracking, revenue dashboard, and manual payment recording.
Reporting Module with CSV Export — Operational reports covering appointment volume, patient growth, and revenue summaries.
Full Codebase via GitHub Transfer — Complete source code (web + mobile) transferred to your GitHub repository. Full ownership, no restrictions.
Cloud Deployment to Your Infrastructure — Web platform deployed on your Railway infrastructure, Supabase database and auth configured under your account.
Technical Documentation + Staff Training — Written technical docs plus a handover and training session.
30 Days Post-Launch Support — Bug fixes, edge-case resolution, and onboarding guidance for 30 days after go-live.

Included AI Workforce

Phase 1 ships with one production AI agent. The platform architecture supports additional agents that can be activated in Phase 2 and beyond.

Phase 1 — Included

AI Patient Intake Agent — Conversational intake, symptom collection, structured data capture, intake summaries, and basic patient routing.

Available for Phase 2+

AI Receptionist — Automated front-desk responses, appointment confirmations, and patient inquiries.
AI Medical Scribe — Real-time visit note generation and structured documentation from consultations.
AI Triage Assistant — Symptom-based urgency assessment and routing recommendations.
AI Appointment Coordinator — Intelligent scheduling, rescheduling, and conflict resolution.
AI Billing Assistant — Invoice generation, payment follow-ups, and revenue tracking automation.
AI Follow-up Agent — Post-visit check-ins, medication reminders, and care plan nudges.
AI Document Extraction — Automated data extraction from uploaded medical documents, lab reports, and referral letters.
All AI agents are built on a model-agnostic architecture. Depending on your requirements, they can run on OpenAI, Anthropic Claude, Google Gemini, DeepSeek, or self-hosted open-source models.

Who This Is For

Private Clinics
Telehealth Startups
Medical Groups & Specialty Practices
Dental & Cosmetic Networks
Mental Health Practices
Diagnostic Labs
Home Healthcare Providers
Healthcare Operators launching or digitizing services

What Gets Deployed — Module Detail

1 — Healthcare Admin Dashboard (Web)

Central control panel for your team.
Included: Secure staff login · Role-based access (Admin / Reception / Doctor) · Patient overview · Appointment overview · Revenue summary dashboard · Activity logs · Basic analytics
Not included: Multi-hospital architecture · Complex clinical workflows · Advanced BI reporting

2 — Patient Management Module

Organized, searchable patient records in one place.
Included: Patient registration · Patient profiles · Visit history · Notes · Basic document attachments · Search and filtering
Not included: Full EMR/EHR implementation · DICOM storage · Medical imaging · Regulatory certifications

3 — Appointment & Scheduling System

Streamline bookings and cut administrative overhead.
Included: Online appointment booking · Calendar management · Doctor availability management · Appointment status tracking · Automated reminders
Not included: Complex scheduling engines · Insurance authorization workflows

4 — AI Patient Intake Agent

Automate initial patient intake end-to-end.
Included: Conversational intake form · Symptom collection · Intake summaries · Basic routing logic · Structured patient information capture
Not included: Medical diagnosis · Clinical recommendations · Autonomous treatment decisions · FDA-regulated medical AI

5 — Billing & Payments Module

Operational billing without the complexity.
Included: Invoice generation · Payment status tracking · Revenue dashboard · Manual payment recording
Not included: Insurance claims processing · Government reimbursement systems · Accounting integrations · Tax compliance automation

6 — Mobile Patient Portal (React Native — iOS & Android)

A patient-facing app for bookings, records, and notifications.
Included: Patient login · Appointment viewing · Booking requests · Profile updates · Push notifications
Delivery: Expo React Native codebase — fully built and handed over via GitHub
Important: App Store (Apple) and Google Play submission, review, and approval are not part of this engagement. App store submissions involve platform review processes outside our control. We deliver the complete, production-ready codebase. Submission support can be scoped separately.

7 — Reporting Module

Operational visibility for decision-makers.
Included: Appointment reports · Patient growth reports · Revenue summaries · CSV export
Not included: Data warehouse · Advanced forecasting · Enterprise analytics

How the 12 Weeks Are Spent

The platform architecture already exists. These 12 weeks are spent adapting it to your organization.

Month 1 — Discovery + Foundation

Discovery workshops · UX/UI design customized to your practice · Database configuration · Admin dashboard · Patient module
Milestone: Working backend + admin dashboard live on your infrastructure

Month 2 — Core Operations

Scheduling system · Billing module · AI intake agent deployment · Notifications
Milestone: End-to-end operational workflow running

Month 3 — Launch

Mobile patient portal · Reporting module · QA testing · Deployment · Handover + training
Milestone: Production-ready platform, code on GitHub, 30-day post-launch support window begins

Technology Stack

Frontend: Next.js · TypeScript · ShadCN UI
Backend: Node.js · Supabase (your account)
Mobile: Expo React Native
Infrastructure: Railway (your account) · Cloud deployment
AI Layer: LLM-powered agents for intake and automation
Security: Role-based access control · Encrypted communications · Audit logging · HIPAA-ready architecture
Stack may be adjusted during discovery based on your specific requirements.

Why Work With Me

Building a healthcare platform requires more than writing code. It requires designing a secure, scalable product that can support real patients, clinicians, and business operations for years.
As a CTO and Full-Stack Software Architect with over 10 years of experience, I specialize in designing and delivering enterprise-grade SaaS platforms, AI-powered operating systems, and business-critical applications from concept to production.
I've built and deployed this pattern before — across healthcare, dental, cosmetic, and education verticals. Each deployment refines the architecture. You benefit from every lesson learned.

What Sets Me Apart

Product-First Mindset

Every decision is made with scalability, maintainability, user experience, and long-term growth in mind. You're getting a product, not a collection of features.

AI-Native Architecture

AI isn't added as an afterthought. Your platform is designed from the ground up to support AI agents, Retrieval-Augmented Generation (RAG), intelligent automation, workflow optimization, and future AI capabilities.

Security-First Development

Healthcare software requires a strong security foundation. I implement secure authentication, role-based access control, encrypted communications, audit logging, and architectures that support HIPAA-ready deployments.

Built for Scale

Whether you're launching with one location or serving thousands of patients across multiple sites, the platform evolves with your organization without requiring a rebuild.

Direct Partnership

You work directly with the person designing and building your platform. No outsourcing. No handoffs. No disappearing after the contract begins.
Throughout the project, you receive:
Weekly progress updates
Live demonstrations
Transparent communication
Shared milestones
Technical documentation
Collaborative planning and feedback sessions

What You Can Expect

✔ A thoughtfully designed healthcare platform — not a collection of features.
✔ Clean, maintainable, well-documented code built for long-term success.
✔ A modular architecture that makes future enhancements faster and more cost-effective.
✔ AI capabilities integrated strategically to deliver real operational value.
✔ A technical partner invested in helping your product succeed well beyond launch.

What You Need to Provide

To keep your data sovereign and infrastructure under your control, the following accounts must be set up and provided by you before Month 1 begins:
Railway account — for cloud hosting and deployment
Supabase account — for database and authentication
GitHub account — for code repository transfer and handover
We work directly within your accounts. All infrastructure costs (Railway, Supabase) are billed to you directly by those providers — they are not included in our engagement fee.

Handover

At the end of the engagement:
Full codebase transferred to your GitHub repository
Web application deployed to your Railway environment
Supabase database and auth configured under your account
Documentation provided
30-day post-launch support window included
You own everything. No lock-in.

What Is Included

✔ Discovery and planning workshops ✔ UX/UI design customized to your practice ✔ Full-stack development ✔ AI agent deployment ✔ QA testing ✔ Web deployment to your infrastructure ✔ GitHub repository handover ✔ Technical documentation ✔ 30 days post-launch support

What Is Not Included

The following are clearly outside this engagement to protect timelines and expectations on both sides:
HIPAA certification or medical compliance consulting
Insurance claim integrations or government reimbursement systems
App Store / Google Play submission and approval
Third-party paid API or software licenses
Enterprise SSO
Multi-country infrastructure
Ongoing maintenance (available as a separate plan after delivery)
Unlimited revisions (reasonable scope is defined during discovery)
Infrastructure costs (Railway, Supabase — billed to your accounts directly)

Ongoing Maintenance

Post-launch maintenance is available as a separate monthly plan once Phase 1 is delivered. This covers bug fixes, dependency updates, minor feature additions, and priority support. Ask about options after we scope Phase 1 together.

Phases Beyond Phase 1

This engagement delivers your operational foundation. Additional modules — telemedicine, insurance integrations, advanced analytics, multi-location support, additional AI agents, and more — can be designed and built as subsequent phases. We scope each phase together based on what you actually need next.

Investment

Weekly rate $1,500/week Duration 12 weeks Total $18,000
Payment is structured weekly. Work begins after a signed agreement.

Before We Start — Prerequisite Checklist

To ensure a smooth kick-off with no delays, both parties confirm the following before Month 1 begins:
Railway account created and credentials shared
Supabase account created and credentials shared
GitHub account ready for repository transfer
Discovery call completed and requirements signed off
Signed project agreement in place

Have custom requirements, a different timeline, or want to discuss a phased roadmap? Message us — we'll scope it properly before anything starts.
FAQs

Starting at$18,000
Duration12 weeks
Tags
AI Automation
AI Engineer
Fullstack Engineer
Mobile Engineer
Custom SaaS Development
Healthcare AI
Healthcare Software
Medical SaaS
Patient Management
Service provided by
Taimoor Khan proKarachi, Pakistan
5.00
Rating
9
Followers
AI Healthcare Operating System - Deployed in 12 WeeksTaimoor Khan
Starting at$18,000
Duration12 weeks
Tags
AI Automation
AI Engineer
Fullstack Engineer
Mobile Engineer
Custom SaaS Development
Healthcare AI
Healthcare Software
Medical SaaS
Patient Management
Cover image for AI Healthcare Operating System - Deployed in 12 Weeks

AI Healthcare Operating System — Phase 1 Deployment

$1,500/week · 12-Week Fixed Engagement · Total: $18,000


What You Get

A production-ready, AI-powered healthcare operations platform built on a proven architecture and customized for your organization's workflows, deployed to your own infrastructure in 12 weeks.
This isn't a project that starts from zero. 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. What you're paying for is the expertise to adapt that architecture to your specific practice, your workflows, your team, and your patients.
That's why this costs $18,000 and not $80,000. You're not funding research and development. You're funding a structured 12-week deployment where a proven system gets shaped around your reality — discovery, UX customization, workflow configuration, integration, testing, and production deployment included.
This is Phase 1: a focused operational foundation that replaces fragmented spreadsheets, manual scheduling, and disconnected admin workflows with a single modern platform. It is designed to be extended — Phases 2 and beyond are scoped and added as your needs grow.
This is not a hospital-grade enterprise EMR replacement. It is a lean, fast, automatable system built for clinics and healthcare operators who need to move quickly.

At a Glance

7 production modules
1 AI agent included (expandable to 8+)
Web + iOS + Android
Role-based access for 3 staff types
Proven architecture, customized for your workflows
Full source code ownership
30 days post-launch support
Launch in 90 days

What Gets Delivered

Production-Ready AI Healthcare Platform (7 Modules) — Fully deployed and operational healthcare operations platform covering admin dashboard, patient management, appointment & scheduling, AI patient intake, billing & payments, mobile patient portal, and reporting.
UX/UI Design for All Modules — Custom-designed interfaces for every module, branded to your clinic or practice identity.
AI Patient Intake Agent — LLM-powered conversational intake that collects symptoms, captures structured patient information, generates intake summaries, and routes patients with basic logic.
Mobile Patient Portal (iOS & Android) — Expo React Native app where patients can log in, view and request appointments, update their profile, and receive push notifications.
Healthcare Admin Dashboard with Role-Based Access — Central control panel with secure authentication and role-based permissions for Admin, Reception, and Doctor staff.
Appointment & Scheduling System — Online appointment booking, calendar management, doctor availability configuration, status tracking, and automated reminders.
Billing & Payments Module — Invoice generation, payment status tracking, revenue dashboard, and manual payment recording.
Reporting Module with CSV Export — Operational reports covering appointment volume, patient growth, and revenue summaries.
Full Codebase via GitHub Transfer — Complete source code (web + mobile) transferred to your GitHub repository. Full ownership, no restrictions.
Cloud Deployment to Your Infrastructure — Web platform deployed on your Railway infrastructure, Supabase database and auth configured under your account.
Technical Documentation + Staff Training — Written technical docs plus a handover and training session.
30 Days Post-Launch Support — Bug fixes, edge-case resolution, and onboarding guidance for 30 days after go-live.

Included AI Workforce

Phase 1 ships with one production AI agent. The platform architecture supports additional agents that can be activated in Phase 2 and beyond.

Phase 1 — Included

AI Patient Intake Agent — Conversational intake, symptom collection, structured data capture, intake summaries, and basic patient routing.

Available for Phase 2+

AI Receptionist — Automated front-desk responses, appointment confirmations, and patient inquiries.
AI Medical Scribe — Real-time visit note generation and structured documentation from consultations.
AI Triage Assistant — Symptom-based urgency assessment and routing recommendations.
AI Appointment Coordinator — Intelligent scheduling, rescheduling, and conflict resolution.
AI Billing Assistant — Invoice generation, payment follow-ups, and revenue tracking automation.
AI Follow-up Agent — Post-visit check-ins, medication reminders, and care plan nudges.
AI Document Extraction — Automated data extraction from uploaded medical documents, lab reports, and referral letters.
All AI agents are built on a model-agnostic architecture. Depending on your requirements, they can run on OpenAI, Anthropic Claude, Google Gemini, DeepSeek, or self-hosted open-source models.

Who This Is For

Private Clinics
Telehealth Startups
Medical Groups & Specialty Practices
Dental & Cosmetic Networks
Mental Health Practices
Diagnostic Labs
Home Healthcare Providers
Healthcare Operators launching or digitizing services

What Gets Deployed — Module Detail

1 — Healthcare Admin Dashboard (Web)

Central control panel for your team.
Included: Secure staff login · Role-based access (Admin / Reception / Doctor) · Patient overview · Appointment overview · Revenue summary dashboard · Activity logs · Basic analytics
Not included: Multi-hospital architecture · Complex clinical workflows · Advanced BI reporting

2 — Patient Management Module

Organized, searchable patient records in one place.
Included: Patient registration · Patient profiles · Visit history · Notes · Basic document attachments · Search and filtering
Not included: Full EMR/EHR implementation · DICOM storage · Medical imaging · Regulatory certifications

3 — Appointment & Scheduling System

Streamline bookings and cut administrative overhead.
Included: Online appointment booking · Calendar management · Doctor availability management · Appointment status tracking · Automated reminders
Not included: Complex scheduling engines · Insurance authorization workflows

4 — AI Patient Intake Agent

Automate initial patient intake end-to-end.
Included: Conversational intake form · Symptom collection · Intake summaries · Basic routing logic · Structured patient information capture
Not included: Medical diagnosis · Clinical recommendations · Autonomous treatment decisions · FDA-regulated medical AI

5 — Billing & Payments Module

Operational billing without the complexity.
Included: Invoice generation · Payment status tracking · Revenue dashboard · Manual payment recording
Not included: Insurance claims processing · Government reimbursement systems · Accounting integrations · Tax compliance automation

6 — Mobile Patient Portal (React Native — iOS & Android)

A patient-facing app for bookings, records, and notifications.
Included: Patient login · Appointment viewing · Booking requests · Profile updates · Push notifications
Delivery: Expo React Native codebase — fully built and handed over via GitHub
Important: App Store (Apple) and Google Play submission, review, and approval are not part of this engagement. App store submissions involve platform review processes outside our control. We deliver the complete, production-ready codebase. Submission support can be scoped separately.

7 — Reporting Module

Operational visibility for decision-makers.
Included: Appointment reports · Patient growth reports · Revenue summaries · CSV export
Not included: Data warehouse · Advanced forecasting · Enterprise analytics

How the 12 Weeks Are Spent

The platform architecture already exists. These 12 weeks are spent adapting it to your organization.

Month 1 — Discovery + Foundation

Discovery workshops · UX/UI design customized to your practice · Database configuration · Admin dashboard · Patient module
Milestone: Working backend + admin dashboard live on your infrastructure

Month 2 — Core Operations

Scheduling system · Billing module · AI intake agent deployment · Notifications
Milestone: End-to-end operational workflow running

Month 3 — Launch

Mobile patient portal · Reporting module · QA testing · Deployment · Handover + training
Milestone: Production-ready platform, code on GitHub, 30-day post-launch support window begins

Technology Stack

Frontend: Next.js · TypeScript · ShadCN UI
Backend: Node.js · Supabase (your account)
Mobile: Expo React Native
Infrastructure: Railway (your account) · Cloud deployment
AI Layer: LLM-powered agents for intake and automation
Security: Role-based access control · Encrypted communications · Audit logging · HIPAA-ready architecture
Stack may be adjusted during discovery based on your specific requirements.

Why Work With Me

Building a healthcare platform requires more than writing code. It requires designing a secure, scalable product that can support real patients, clinicians, and business operations for years.
As a CTO and Full-Stack Software Architect with over 10 years of experience, I specialize in designing and delivering enterprise-grade SaaS platforms, AI-powered operating systems, and business-critical applications from concept to production.
I've built and deployed this pattern before — across healthcare, dental, cosmetic, and education verticals. Each deployment refines the architecture. You benefit from every lesson learned.

What Sets Me Apart

Product-First Mindset

Every decision is made with scalability, maintainability, user experience, and long-term growth in mind. You're getting a product, not a collection of features.

AI-Native Architecture

AI isn't added as an afterthought. Your platform is designed from the ground up to support AI agents, Retrieval-Augmented Generation (RAG), intelligent automation, workflow optimization, and future AI capabilities.

Security-First Development

Healthcare software requires a strong security foundation. I implement secure authentication, role-based access control, encrypted communications, audit logging, and architectures that support HIPAA-ready deployments.

Built for Scale

Whether you're launching with one location or serving thousands of patients across multiple sites, the platform evolves with your organization without requiring a rebuild.

Direct Partnership

You work directly with the person designing and building your platform. No outsourcing. No handoffs. No disappearing after the contract begins.
Throughout the project, you receive:
Weekly progress updates
Live demonstrations
Transparent communication
Shared milestones
Technical documentation
Collaborative planning and feedback sessions

What You Can Expect

✔ A thoughtfully designed healthcare platform — not a collection of features.
✔ Clean, maintainable, well-documented code built for long-term success.
✔ A modular architecture that makes future enhancements faster and more cost-effective.
✔ AI capabilities integrated strategically to deliver real operational value.
✔ A technical partner invested in helping your product succeed well beyond launch.

What You Need to Provide

To keep your data sovereign and infrastructure under your control, the following accounts must be set up and provided by you before Month 1 begins:
Railway account — for cloud hosting and deployment
Supabase account — for database and authentication
GitHub account — for code repository transfer and handover
We work directly within your accounts. All infrastructure costs (Railway, Supabase) are billed to you directly by those providers — they are not included in our engagement fee.

Handover

At the end of the engagement:
Full codebase transferred to your GitHub repository
Web application deployed to your Railway environment
Supabase database and auth configured under your account
Documentation provided
30-day post-launch support window included
You own everything. No lock-in.

What Is Included

✔ Discovery and planning workshops ✔ UX/UI design customized to your practice ✔ Full-stack development ✔ AI agent deployment ✔ QA testing ✔ Web deployment to your infrastructure ✔ GitHub repository handover ✔ Technical documentation ✔ 30 days post-launch support

What Is Not Included

The following are clearly outside this engagement to protect timelines and expectations on both sides:
HIPAA certification or medical compliance consulting
Insurance claim integrations or government reimbursement systems
App Store / Google Play submission and approval
Third-party paid API or software licenses
Enterprise SSO
Multi-country infrastructure
Ongoing maintenance (available as a separate plan after delivery)
Unlimited revisions (reasonable scope is defined during discovery)
Infrastructure costs (Railway, Supabase — billed to your accounts directly)

Ongoing Maintenance

Post-launch maintenance is available as a separate monthly plan once Phase 1 is delivered. This covers bug fixes, dependency updates, minor feature additions, and priority support. Ask about options after we scope Phase 1 together.

Phases Beyond Phase 1

This engagement delivers your operational foundation. Additional modules — telemedicine, insurance integrations, advanced analytics, multi-location support, additional AI agents, and more — can be designed and built as subsequent phases. We scope each phase together based on what you actually need next.

Investment

Weekly rate $1,500/week Duration 12 weeks Total $18,000
Payment is structured weekly. Work begins after a signed agreement.

Before We Start — Prerequisite Checklist

To ensure a smooth kick-off with no delays, both parties confirm the following before Month 1 begins:
Railway account created and credentials shared
Supabase account created and credentials shared
GitHub account ready for repository transfer
Discovery call completed and requirements signed off
Signed project agreement in place

Have custom requirements, a different timeline, or want to discuss a phased roadmap? Message us — we'll scope it properly before anything starts.
FAQs

$18,000