Healthcare operations · AI-assisted

An intelligent path to smarter healthcare workflows

CareAgent AI is building a modern, AI-powered platform to reduce administrative burden and support billing, coding, and operations teams—with humans firmly in the loop.

The problem

Healthcare systems carry heavy administrative workloads: complex billing, manual ICD-10 and CPT coding, high claim rejection rates, and workflows that span many tools. Staff spend too much time on repetitive tasks instead of higher-value work.

Vision

A scalable ecosystem of AI agents that automate healthcare operations—including billing, coding, documentation, and workflow management.

The long-term goal is an intelligent operating system for healthcare operations: connected billing, coding, documentation, claims, and workflows in one modular, agent-based architecture.

MVP (Phase 1)

The first release centers on AI-assisted medical billing and coding: clinical notes in, structured ICD-10 and CPT suggestions out—JSON responses, confidence scores, and explicit human review. Suggestions are conservative and grounded in the note; they are not final billing decisions.

  • Input: unstructured clinical notes
  • Output: structured draft suggestions (ICD-10, CPT)
  • JSON format · confidence · review required
  • No assumption-based coding; safe, auditable assistance

Product roadmap

CareAgent AI evolves toward a multi-agent platform. Planned modules:

Billing Agent

Assist billing workflows and reduce repetitive manual tasks.

Coding Agent

Draft ICD-10 / CPT suggestions; highlight unclear documentation.

Documentation Agent

Structure clinical notes for better downstream data quality.

Claims Support Agent

Surface issues before submission to cut rework.

Workflow Agent

Automate admin processes and route tasks intelligently.

How we build

  • AI-assisted, not AI-replacement
  • Human-in-the-loop always
  • Safety and accuracy over raw automation
  • Incremental automation—start small, expand deliberately
  • Clear auditability and transparency

We combine AI with rule-based validation, emphasize workflow efficiency, and bring enterprise-grade backend engineering from fintech, banking, insurance, and payments.

Who we serve

Initial focus: small to mid-sized clinics, medical billing companies, healthcare service providers, and independent practices. Future expansion includes larger health systems, insurance workflows, and integrated platforms.

Founder

Sajadur Rahman

Founder & Software Engineer · Buffalo, New York, USA

Senior software engineer with experience building scalable enterprise systems across fintech, banking, and insurance. Active in software development since 2012; professional experience since 2016. Current focus: insurance payment platforms and system reliability—where performance, scale, and compliance matter.

Backend (Java, Spring Boot), microservices, APIs, workflow automation, distributed systems (Kafka, RabbitMQ), React and TypeScript, cloud and DevOps (Docker, Kubernetes, CI/CD).

Where we are

MVP0 is defined; architecture and prompts are in motion; an early prototype is underway. careagentai.com is live as our home on the web. We are building brand, product, and partnerships in parallel.

Next steps

We are advancing the MVP prototype, evaluation datasets, and a rule engine + LLM pipeline. Interested in early access or collaboration? Reach out—we would love to hear from you.

hello@careagentai.com

CareAgent AI provides workflow and coding assistance tools, not medical advice. Outputs are drafts for professional review and are not intended as final billing or clinical determinations.