BotVeta — Automation Orchestration Platform
Multi-tenant scheduling, monitoring, and scaling for Python and Node automation across US Healthcare RCM — FastAPI, .NET 9, React, and Next.js.
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 that can be sold to other RCM companies
The platform enables teams to trigger, schedule, and monitor all automation bots from one place, with complete visibility into execution patterns and performance metrics.
Architecture
Frontend
Next.js dashboard for user interface and real-time monitoring
Backend API
FastAPI microservices for bot orchestration and scheduling
Bot Execution Engine
Python automation bots with standardized interfaces
Database & Storage
SQL database for execution logs, metrics, and configuration
Cloud Infrastructure
AWS deployment with Docker containers for scalable execution
Tech Stack
What I Built
- Designed and implemented the platform architecture using Figma before development
- Built FastAPI backend with microservices architecture for bot orchestration
- Developed Next.js frontend dashboard for scheduling, monitoring, and reporting
- Created standardized interfaces for Python bots to integrate with the platform
- Implemented process-wise, user-wise, and data-wise execution tracking
- Built scheduling system with configurable triggers and execution patterns
- Set up AWS infrastructure with Docker for scalable deployment
Current Stage & Roadmap
Current Status: Platform is in active development and approximately halfway to completion. Core orchestration features are implemented and being 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