You will get AI Agent PoC (Fixed Scope)
Project details
This project delivers an Agentic AI Proof of Concept for one selected healthcare use case (or a clearly defined subset), designed to demonstrate real-world automation using secure, tool-based AI agents.
Available Use Cases (select one):
• Referral Intake Agent – Automates referral ingestion, validation, and routing
• Claims Validation Agent – Pre-checks claims for eligibility, accuracy, and compliance
• Care Gap Detection Agent – Identifies and prioritizes open care gaps from clinical and claims data
• Workforce Scheduling Agent – Optimizes staffing based on demand, availability, and constraints
Each PoC focuses on a single, high-impact workflow and includes agent design, tool integration, testing, and a working demo, along with recommendations for production scaling.
This approach allows you to validate value quickly, reduce risk, and decide where to invest next—without committing to a full-scale implementation upfront.
Available Use Cases (select one):
• Referral Intake Agent – Automates referral ingestion, validation, and routing
• Claims Validation Agent – Pre-checks claims for eligibility, accuracy, and compliance
• Care Gap Detection Agent – Identifies and prioritizes open care gaps from clinical and claims data
• Workforce Scheduling Agent – Optimizes staffing based on demand, availability, and constraints
Each PoC focuses on a single, high-impact workflow and includes agent design, tool integration, testing, and a working demo, along with recommendations for production scaling.
This approach allows you to validate value quickly, reduce risk, and decide where to invest next—without committing to a full-scale implementation upfront.
What's included
| Service Tiers |
Starter
$10,000
|
Standard
$15,000
|
Advanced
$20,000
|
|---|---|---|---|
| Delivery Time | 30 days | 45 days | 60 days |
Number of Revisions | 0 | 0 | 0 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 2 | 4 | 6 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | |||
Source Code |
Optional add-ons
You can add these on the next page.
Additional Model Variation
(+ 10 Days)
+$5,000
Additional Scenario
(+ 5 Days)
+$1,000About Haroon
Fractional AI CTO | Healthcare AI & LLM Platforms
Troy, United States - 7:40 am local time
As a fractional CTO and Chief Architect, I help AI startups and enterprise teams move from idea to scalable, compliant AI platforms / products. A fractional AI CTO, engagement starts with clarity. Roadmaps, architecture, governance, and ROI are defined before development begins.
The goal is speed without chaos.
🏨 Fractional AI CTO Strategy & Architecture
✅ 12-month AI roadmap with measurable ROI
✅ Architecture blueprint across cloud, data, and machine learning systems
✅ Vendor selection and build vs buy decisions
✅ Compliance-aware system design for HIPAA and SOC2
✅ Investor-ready technical documentation
A fractional AI CTO, translates business objectives into executable engineering milestones. This includes supporting fundraising, due diligence, and investor conversations with structured technical strategy.
🏨 Enterprise LLM Copilot Platforms
✅ Secure large language model copilot systems
✅ Knowledge ingestion and vector database design
✅ RAG pipelines and agent workflows
✅ Deployment and MLOps frameworks
Every fractional AI CTO engagement ensures the large language model infrastructure is scalable, observable, and production-ready.
🏨 Healthcare AI Platform Development
✅ Clinical NLP and document AI systems
✅ Medical coding automation and risk scoring
✅ Integration with medical records software
✅ Prior authorization AI and IME automation
Healthcare platforms built under a fractional AI CTO model focus on compliance, interoperability, and machine learning reliability.
🏨 AI MVP & Automation Sprints
✅ Working AI MVP with deployment plan
✅ Model evaluation and fine-tuning
✅ AI automation for claims intake and medical record review
✅ LLM fine-tuning and domain training
A fractional AI CTO ensures MVPs are aligned with long-term product strategy, not just prototypes.
🏨 Technical & Product Background
• Full product lifecycle leadership
• Engineering oversight across java and python environments
• Machine learning system design
• Training & development for internal technical teams
Steps for completing your project
After purchasing the project, send requirements so Haroon can start the project.
Delivery time starts when Haroon receives requirements from you.
Haroon works on your project following the steps below.
Revisions may occur after the delivery date.
Execution
Each PoC focuses on a single, high-impact workflow and includes agent design, tool integration, testing, and a working demo, along with recommendations for production scaling.