AI HEALTHCARE SOLUTIONS BUSINESS PLAN

I. Executive Summary

Company Description

NovusClin AI (named from Latin novus, meaning new, and clinical) is an Austin, Texas–based healthcare technology firm launching a sophisticated AI platform in 2026. We operate in the health IT and clinical software sector and sell a high-margin SaaS platform that integrates advanced machine learning models directly with hospital electronic health records to optimize clinical workflows. Core products are a workflow orchestration layer, predictive clinical models, and certified EHR connectors. We build, validate, and deploy models, integrate with hospital IT, run cloud operations, and provide customer success and regulatory support. We target U.S. hospitals and health systems, selling to CIOs, CMIOs, and operational leaders. One line: we deliver production-ready AI that embeds in clinical workflows.

What sets us apart is a cross-functional leadership team of AI engineers and healthcare experts, production-grade EHR integrations, and a HIPAA-compliant, scalable cloud architecture that makes deployments fast and low-risk. Short-term goals are to complete three health system pilots in 2026 and secure recurring SaaS contracts. Long-term goals are national roll-out, category leadership in clinical workflow AI, and achieving a Year 5 EBITDA of $61.93 million. One line: we scale clinical impact while preserving margins and compliance.

Problem

Healthcare providers face inefficient data flow and weak real-time analytics that pull clinicians into hours of administrative work, slow decision speed and throughput, increase diagnostic risk, and raise labor and operational costs. These legacy inefficiencies can translate into $1.88 million in potential first-year EBITDA losses for a typical provider.

Current EHR and tooling lack the real-time processing power to turn raw patient data into actionable clinical insights, forcing staff to toggle between records and delay care. The gap is acute in U.S. hospitals and clinics and remains underserved by existing systems, creating a clear need for a platform that integrates with electronic health records to optimize workflows. Based in Austin, Texas and launching in 2026, our company will deliver a high-margin SaaS solution built on scalable cloud infrastructure to address this unmet need and capture significant operational upside (target Year 5 EBITDA: $61.93 million).

Solution

U.S. hospitals face administrative overload, high costs, and diagnostic risk because patient data is underused. Our EHR‑integrated software suite combines Diagnostic AI and Treatment Optimization to deliver real-time diagnostic insights, automate billing/scheduling/documentation, recommend personalized care pathways, and reduce length of stay while maintaining HIPAA-compliant security.

One-liner: an EHR-integrated platform that turns real-time clinical and operational data into actionable intelligence to cut delays, lower costs, and improve care quality.

Mission Statement

We empower healthcare providers with intelligent, real-time insights that elevate patient care and eliminate administrative waste.

We deliver a unified AI platform that integrates into clinical workflows to improve diagnostic accuracy and operational efficiency and transform healthcare data into a strategic asset for every hospital and clinic in the United States.

We commit to measurable clinical impact and superior financial returns for stakeholders while improving access, quality, and efficiency across the healthcare system.

Key Success Factors

Critical operational and commercial levers that determine the platform’s ability to scale, monetize, and stay clinically adopted.

• Deep API integration with major EHR providers to ensure clinician adoption and workflow fit.
• 60–75% trial-to-paid conversion sustained to drive predictable, high-quality revenue.
• Reduce CAC to $1,200 by 2030 to improve unit economics and support scalable growth.
• Scale AI engineering to 4.0 FTEs to maintain product lead and model upkeep.
• 6-month payback period on customer acquisition to preserve liquidity for rapid expansion.

Financial Summary

Fast path to positive cash flow: the U.S. launch hits breakeven in March 2026, three months after launch.

Financial needs: 2026 CapEx $315,000; minimum cash required $769,000 (Feb-26). Payback expected in 6 months; breakeven Mar-26. Anticipated returns include IRR 37% and ROE 132.69%.

Overall outlook: strong early profitability and high investor returns within a scalable healthcare AI model.

Funding Requirements

We seek $1,294,000 to fund $315,000 of Capex, $60,000 of platform development, $150,000 of first‑year marketing, and a $769,000 minimum cash position; the project reaches breakeven March 2026, delivers Year 1 EBITDA of $1.88M, Year 5 EBITDA of $61.93M, a 37% IRR and 132.69% ROE.