Multi-Agent Ecosystem System
AI Agents that work together like a real team
MAES is not just a chatbot, but a system of multiple AI Agents with different roles and expertise, working in coordination to achieve business goals
MAES Agent Hierarchy
How AI Agents work together
Level 3: Human (RAM)
Resource and Authority Manager - Critical decisions
Approves production deployments, data deletion, infrastructure changes
Level 1: Orchestrator
Controls and coordinates all agents
Task assignment, traffic control, saga management
Level 2: Worker Agents
Specialized work based on Orchestrator commands
Feature development, bug fixes, infrastructure maintenance
AI Agents in MAES
Meet the AI team working for you 24/7
AMS-Orchestrator
Central Command & Infrastructure Owner
The brain of MAES - coordinates all other agents, manages infrastructure, and handles saga orchestration
HubPro-Worker
B2B SaaS Implementation
Handles all HubPro-related development tasks including web admin and customer portals
VIMS-Worker
Vendor Management Implementation
Manages VIMS platform development for vendors and equipment management
DevOps-Monitor
Infrastructure & Reliability
Monitors infrastructure health, handles failover, and ensures system reliability
CMO-Agent
Marketing & Lead Qualification
Handles customer interactions, lead qualification using BANT, and marketing automation
Use Cases
Real-world examples of MAES in business
Automated Deployment
CMO Agent detects Feature Request → HubPro-Worker develops → AMS-Orchestrator deploys automatically
Self-Healing Infrastructure
DevOps-Monitor detects Cloudflare down → Auto failover to Backup CDN within 10 minutes
24/7 Customer Support
CMO Agent answers customer questions, qualifies leads (BANT), and schedules demos without human wait
Intelligent Escalation
When Agent is unsure or needs approval, it auto-escalates to RAM (Human)
Ready to Experience Innovation?
Start using HubSwitch today or schedule an in-depth demo