Bot Manager & Automation Orchestrator

Central platform to run, schedule, monitor, and scale Python bots across RCM workflows.

Problem

US Healthcare RCM operations require multiple Python automation bots running across different processes (Eligibility Verification, Prior Authorization, Claims Processing). Each bot was managed separately, making it difficult to:

  • Schedule and coordinate bot executions across teams
  • Monitor bot performance and track process-wise metrics
  • Scale automation workflows as business needs grow
  • Provide visibility into user-wise and data-wise execution insights
  • Maintain and update bots without disrupting operations

This fragmented approach limited scalability and made it challenging to offer automation as a commercial product for other RCM companies.

Solution

Built Bot Manager — a centralized orchestration platform that provides:

  • Centralized Control: Single dashboard to manage all Python bots
  • Scheduling & Triggers: Automated scheduling with configurable triggers
  • Real-time Monitoring: Process-wise, user-wise, and data-wise execution insights
  • Scalable Architecture: Built to handle multiple bots and high-volume operations
  • Commercial Ready: Designed as a product for other RCM companies

Architecture

Frontend

Next.js dashboard for UI and real-time monitoring

Backend API

FastAPI microservices for orchestration and scheduling

Bot Execution Engine

Python bots with standardized interfaces

Database & Storage

SQL for execution logs, metrics, and config

Cloud Infrastructure

AWS deployment with Docker containers for scalable execution

What I Built

  • Designed platform architecture using Figma before development
  • Built FastAPI backend with microservices for bot orchestration
  • Developed Next.js frontend for scheduling, monitoring, and reporting
  • Created standardized interfaces for Python bot integration
  • Implemented process-wise, user-wise, and data-wise execution tracking
  • Built scheduling system with configurable triggers
  • Set up AWS infrastructure with Docker for scalable deployment

Current Stage & Roadmap

Current Status: Platform is in active development; core orchestration features are implemented and tested in production.

Next Steps:

  • Complete advanced monitoring and analytics features
  • Enhance scalability for multi-tenant deployments
  • Add advanced scheduling and workflow automation
  • Prepare for commercial launch as an RCM automation product

Tech Stack

PythonFastAPINext.jsSQLAWS