Everest provides AI service automation specifically tailored for Managed Service Providers (MSPs). The platform cleans messy PSA data to enable automated workflows, allowing technicians to focus on higher-value tasks. This integration with existing PSA and RMM tools improves service efficiency and uncovers potential upsell opportunities for MSP growth.
Funding
Funding not disclosed
Founders
Product
Problem
Managed Service Providers (MSPs) face challenges in efficiently resolving technical support tickets, leading to increased technician research time and reduced overall capacity. This inefficiency can impact profitability and the ability to scale operations effectively.
Solution
Everest provides an AI-native service delivery platform designed to augment MSP technicians. The platform automates the gathering of critical ticket and customer context, presenting it directly within existing Professional Services Automation (PSA) tools. It then generates AI-driven resolution plans, complete with citations from relevant knowledge bases and internal documentation, streamlining the diagnostic and remediation process. Technicians can review and approve proposed solutions within their familiar workflow, enabling faster ticket closure and improved operational efficiency. This approach aims to significantly reduce research time and boost technician capacity, allowing MSPs to handle a higher volume of tickets without proportional staff increases.
Target Audience
The primary customers are Managed Service Providers (MSPs) seeking to enhance technician efficiency, reduce ticket resolution times, and improve overall service delivery profitability.
Features
- AI-powered context aggregation that pulls relevant ticket and customer data into a unified internal note.
- Automated resolution planning with citations sourced from integrated knowledge bases and documentation.
- In-workflow approval mechanism for proposed solutions, directly within existing PSA tools.
- Seamless integration with common PSA and Remote Monitoring and Management (RMM) platforms.
- Real-time analytics dashboard displaying key performance indicators such as research time saved and capacity lift.
- SOC 2 compliance for data security and operational integrity.
- Automated workflows for client onboarding and ticket routing.