AI Patient Assistant Proposal
August 12, 2025
1. Introduction: A New Era of Patient Engagement
The modern patient expects instant access to information and effortless service. For many leading healthcare providers, this means staff are increasingly occupied with repetitive administrative tasks. This crucial but time-consuming work can divert focus from high-value, in-person patient care.
Future trans offers a solution to transform this dynamic. We propose a bespoke AI-Powered Patient Assistant, built on our advanced, state-of-the-art conversational AI platform. This is not just a chatbot; it's a comprehensive digital front door for your patients. By automating key touchpoints of the patient journey, we can empower your team to focus on what they do best while elevating the patient experience, enhancing safety, and boosting operational efficiency.
2. Our Proposed Solution: The AI Patient Assistant
Our solution is a sophisticated system where a central AI Chatbot acts as an orchestrator, intelligently managing and delegating tasks to three specialized agents. This ensures every patient inquiry is handled by the most appropriate function, leading to efficient and accurate outcomes. This assistant will be deployed on your company website and integrated into your patient mobile app.
Knowledge Base Agent
The first point of contact, available 24/7. It's fed with all Almoosa data to answer questions about services, doctors, and locations, using a sophisticated RAG architecture for accuracy.
Symptom Checker Agent
Performs preliminary triage based on patient-described symptoms. This agent is built with a core focus on patient safety and operates under strict communication protocols:
- Emergency Triage: If a patient mentions any "red flag" terms (e.g., "chest pain," "can't breathe"), the AI will immediately stop and advise the user to call 997 or go to the nearest emergency room.
- "Inform, Don't Diagnose" Framework: The agent provides information about possibilities but never a medical diagnosis, always stating the importance of consulting a doctor.
- Disclaimer & Call-to-Action: Every session begins with a disclaimer. After providing information, it seamlessly offers to book an appointment.
Booking Agent
Seamlessly checks real-time schedules, presents available slots, and confirms bookings, with direct integration into your existing booking system.
3. Technology Stack
Our solution is built on a foundation of industry-leading technologies to ensure reliability, scalability, and state-of-the-art performance.
Please note: To ensure the highest levels of performance and reliability, our solution is built on a global cloud infrastructure. This approach allows us to leverage the most up-to-date technologies and provide seamless upgrades, ensuring your patient assistant always operates at peak efficiency.
OpenAI
Core AI & Language Models
ElevenLabs
Text-to-Speech Voice Generation
Amazon Web Services
Cloud Hosting & Infrastructure
4. Scope & Deliverables
In Scope
Deployment on website and mobile app entry points.
Knowledge Base, Symptom Checker, and Booking agents as described.
Integration with one booking system via existing API.
Custom analytics & monitoring dashboard.
Deliverables
Configured AI assistant with branded UI widgets.
API integration package & technical runbook.
Admin dashboard access + onboarding guide.
UAT test cases and signoff report.
5. Implementation Timeline
Week 1
Discovery & final scope
Weeks 2-5
Build & integrations
Week 6
UAT & safety checks
Week 7
Go-live & training
6. Investment & Financial Analysis
Budgetary Estimates
| Item | Fee (USD) |
|---|---|
| One-Time Setup & Integration | $15,000 |
| Monthly Operations & License | $5,000 |
| Total First-Year Investment | $75,000 |
| Annual Cost (Subsequent Years) | $60,000 |
Payment Terms
- One-time setup: 50% on kickoff, 50% upon UAT signoff.
- Monthly operations billed at the start of each month.
- All prices are exclusive of applicable taxes and third-party fees beyond stated assumptions.
Cost Assumptions
- Pricing based on up to 3,000 voice sessions (avg. 5 min) and 10,000 text chat per month.
- Includes integration with 1 booking system via an existing API.
- Solution will be deployed across the company website and mobile app.
- Includes development of a custom analytics and monitoring dashboard.
7. Next Step: Discovery & Finalization
We are confident that this AI-Powered Patient Assistant will deliver a significant return on investment. The next step is to enter a Discovery Phase. This involves a final meeting to formalize the agreement, gather detailed requirements for any modifications, and precisely define the implementation scope. Any requirements identified beyond this proposal will be scoped and quoted separately to ensure full transparency before we begin the project kickoff.
8. Acceptance & Signature
By signing below, you acknowledge acceptance of the scope, pricing, and terms outlined in this proposal.
For Almoosa Health Group
Name
Title
Date
Signature
For Future trans
Name
Title
Date
Signature
Appendix
A. TCO vs. ROI Analysis (Sample Scenario)
This analysis compares your potential current costs against the AI solution, based on a common scenario of 5 full-time agents with an average monthly salary of $2,000.
| Current Manual Annual Cost | $120,000 |
| AI Solution Annual TCO | $75,000 |
| Net Potential Annual Savings | $45,000 |
B. Custom Analytics & Monitoring Dashboard (Sample)
The dashboard provides real-time insights into assistant performance, user engagement, and operational metrics.
C. Potential Future AI Agents (Samples)
The proposed solution is the foundation. As our partnership grows, we can expand the assistant's capabilities with additional specialized agents. Below are just a few samples of what is possible.
- Patient Access & Records
- Insurance & Billing
- Labs & Procedures
- Medications & Pharmacy
- Voice Calls through Hotline Number