FlowMind provides an autonomous AI platform for managed service providers and enterprise IT teams that reads incoming tickets, automatically queries live data across network (e.g., Meraki, Aruba), cloud (Microsoft 365) and security (Fortinet) environments, and generates a complete remediation report directly within the existing ticketing system. By delivering fixes in about two minutes without new tools, training, or UI changes, it reduces mean time to resolution and frees senior engineers for higher‑value work while continuously improving its diagnostics through a client‑specific knowledge graph.
Funding
Funding not disclosed
Founders
Product
Problem
Managed service providers and enterprise IT teams often face lengthy ticket resolution times because troubleshooting requires manual investigation across multiple domains (network, cloud, security) and coordination among specialized engineers. This leads to high MTTR, escalations, and inefficient use of senior staff.
Solution
FlowMind delivers an autonomous AI-driven platform that reads incoming tickets, automatically queries and correlates live data from network (e.g., Meraki, Aruba), cloud (Microsoft 365), and security (Fortinet) environments, and generates a complete remediation report directly within the existing ticketing system. The platform operates without additional tools, training, or UI changes, providing fixes in roughly two minutes, which reduces MTTR by over 50 minutes per ticket. By continuously building a knowledge graph of each client’s environment, FlowMind improves its diagnostic accuracy over time, offering a senior‑engineer level of insight 24/7. The solution integrates with existing ticketing workflows, requiring only a simple API connection, and scales to handle multiple tickets simultaneously without adding headcount.
Target Audience
Primary customers are managed service providers and enterprise IT operations teams that need to accelerate ticket resolution and reduce reliance on senior engineers for Tier 2/3 incidents.
Features
- AI agents automatically scope, run diagnostics, synthesize findings, and produce executable remediation steps for tickets
- Native integrations with Meraki, Fortinet, Microsoft 365 and other common MSP tools via API, no new UI or logins required
- Real‑time cross‑domain correlation across network, cloud, and security silos to identify root cause
- Continuous knowledge graph that learns from each ticket, improving future investigations
- Zero‑training deployment: agents are pre‑trained on major vendor platforms and require no additional configuration
- Remediation reports are inserted as work notes in the existing ticketing system, enabling immediate implementation
- Scalable architecture that can investigate and remediate multiple tickets in parallel, delivering fixes in ~120 seconds