Nevona provides an event‑driven AI platform that automates IT troubleshooting by turning ServiceNow tickets into intelligent, context‑rich workflows. The system automatically gathers user, device, network, and historical data, generates diagnostic and remediation plans, and executes them with optional human oversight, reducing resolution times from hours to minutes while maintaining security and compliance.
Funding
Funding not disclosed
Founders
Product
Problem
IT support teams spend extensive time manually gathering user, device, network, and historical information to diagnose incidents, leading to prolonged ticket resolution and inefficient use of resources.
Solution
Nevona offers an event-driven AI platform that integrates directly with ITSM tools such as ServiceNow to automatically enrich incoming tickets with comprehensive contextual data. The system generates custom diagnostic and remediation workflows and can autonomously execute remediation steps across multiple domains while providing transparent approval points for human oversight. By delivering actionable, context‑aware recommendations within the native ITSM interface, Nevona reduces incident resolution times from hours to minutes without compromising enterprise security or compliance.
Target Audience
Primary customers are enterprise IT operations and service desk teams that manage incident resolution within ServiceNow or similar ITSM platforms.
Features
- Real‑time monitoring of ServiceNow for new incidents and automatic ticket ingestion
- Automated collection of user identity, device configuration, network status, organizational policies, and historical incident data
- AI‑driven generation of tailored diagnostic and remediation plans based on enriched context
- Autonomous orchestration of remediation actions across heterogeneous tools with optional human approval checkpoints
- Seamless embedding into existing ITSM workflows, preserving the familiar interface and requiring no additional training
- Built‑in security and compliance controls to ensure all automated actions meet enterprise policies