You will get Hospital AI Front Desk- Omnichannel Inbox, Schedule Appointments, Reminders


Project details
Grounded in your data, not generic AI. The RAG pipeline means answers come from your actual doctor list, policies, and hospital specifics — not a chatbot guessing or hallucinating. Patients get accurate information every time.
Built for revenue protection, not just convenience. No-show follow-up and automated reminders directly target the two biggest silent revenue leaks in any clinic — missed appointments and abandoned bookings — rather than just answering FAQs.
Proactive, not reactive. Vaccination reminders and follow-up nudges reach out to patients before they fall through the cracks, instead of waiting for them to remember or call in.
Scales without adding headcount. As patient volume grows, the system absorbs the load — your staff isn't stuck hiring more receptionists to keep up with more messages.
Built for revenue protection, not just convenience. No-show follow-up and automated reminders directly target the two biggest silent revenue leaks in any clinic — missed appointments and abandoned bookings — rather than just answering FAQs.
Proactive, not reactive. Vaccination reminders and follow-up nudges reach out to patients before they fall through the cracks, instead of waiting for them to remember or call in.
Scales without adding headcount. As patient volume grows, the system absorbs the load — your staff isn't stuck hiring more receptionists to keep up with more messages.
Purpose
BusinessIndustry
Medical & Pharmaceutical, WellnessLanguage
EnglishWhat's included
| Service Tiers |
Starter
$1,000
|
Standard
$3,500
|
Advanced
$9,000
|
|---|---|---|---|
| Delivery Time | 10 days | 20 days | 40 days |
Number of Revisions | 4 | 6 | 10 |
Number of Hours of Work | 40 | 80 | 140 |
Basic Photo Editing | - | - | - |
Organize & Classify/Tag Files | - | - | - |
Formatting & Clean Up | - | - | - |
Project Management Support | - | - | - |
Travel Planning | - | - | - |
Frequently asked questions
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SM
Steve M.
May 14, 2019
Data Architect with Tableau Visualization
Bala delivered good work on this complex Data Analytics project. As an Architect, he co-operated and guided us, to design and develop the entire data pipeline across Data Integration, Data Modelling and Data Visualization.
His communication was top-notch, he met all deadlines, and his skills were extremely strong.
He is very proficient in Tableau, Talend, PostgreSQL, NoSQL, Excel.
I enjoyed working with Bala and will likely have additional jobs for him in the future, for sure.
His communication was top-notch, he met all deadlines, and his skills were extremely strong.
He is very proficient in Tableau, Talend, PostgreSQL, NoSQL, Excel.
I enjoyed working with Bala and will likely have additional jobs for him in the future, for sure.
About Balamurugan
AI Agent & RAG Systems Architect
Chennai, India - 12:20 am local time
What I build:
Custom AI agents and agent harnesses — planning, tool use, memory, and multi-step reasoning
Semantic search and retrieval platforms (RAG) — from document ingestion to vector-backed, context-aware answers
Agentic workflows that connect to your real systems — databases, APIs, internal tools — not just chat demos
End-to-end architecture underneath the AI layer: data pipelines, storage, and cloud infrastructure that keep agents fast, accurate, and cost-efficient
How I work:
I don't just wire up a framework and call it done. I think about failure modes, latency, cost per call, and how the system behaves when the model gets something wrong — because that's the difference between an agent that impresses in a demo and one that survives contact with real users.
Some things I've shipped:
A semantic data-discovery platform used across enterprise teams to find and govern data at scale.
An ML-driven recommendation engine with rule-based guardrails around AI outputs.
A conversational agent handling real-time voice interactions, integrated directly into operational systems.
Multi-tenant, cloud-native platforms built to handle production load, not just prototypes.
If you're trying to figure out whether agentic AI can actually solve your problem — or you already know what you want built — I'm happy to talk through it.
Steps for completing your project
After purchasing the project, send requirements so Balamurugan can start the project.
Delivery time starts when Balamurugan receives requirements from you.
Balamurugan works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & Scoping Call
We'll review the information above with you, confirm which tier (Starter/Standard/Advanced) fits your needs, and finalize the exact feature list and timeline.
Channel Setup & API Integration
We connect and configure WhatsApp Business API, Instagram messaging, SMS gateway, and email, and route them all into a single unified inbox.