Managed service providers (MSPs) are increasingly turning to agentic workflows to decouple headcount growth from customer acquisition. Thrive, a provider for small and mid-market businesses, is attempting this transition by deploying the ServiceNow AI Platform to automate its technical support infrastructure. By implementing Technology Provider Service Management (TPSM) and specialized AI agents, the company aims to shift from reactive incident response to a proactive service model. This strategic move addresses the scaling challenges inherent in managing diverse IT environments across multiple industries, where traditional ticketing workflows often lead to manual handoffs and delayed resolutions. The deployment is designed to centralize service delivery while providing engineers with deeper visibility into customer environments through automated intelligence.
Thrive Automates High-Volume Task Routing
Thrive is utilizing ServiceNow’s TPSM to build its NextGen Platform, specifically targeting the inefficiencies of manual task management. The company reports that it now routes more than 315,000 tasks every six months using AI automation. This shift is intended to mitigate the delays caused by traditional ticketing systems and the frequent handoffs between customer engineering resources. By deploying AI agents to handle autonomous work, Thrive aims to allow its service teams to focus on high-priority, complex cases rather than routine maintenance.
The technical implementation includes the use of generative AI to produce case summaries, which allows engineers to bypass manual data gathering and move directly to troubleshooting. This automation has reportedly resulted in a 63% reduction in time-to-resolution. Specifically, the time required for initial connection has dropped from six minutes to less than one minute. Furthermore, the company has seen 74% adoption of these tools across more than 1,000 provisioned fulfillers. This scale of automation is intended to support Thrive's growing customer base without requiring a proportional increase in manual labor or technical escalations, effectively attempting to stabilize service quality during periods of rapid business expansion.
Integrating DEX and Remote Connectivity Capabilities
Beyond core service management, Thrive is integrating ServiceNow’s Digital End-user Experience (DEX) capabilities into its Nextgen 3.0 platform. This integration incorporates TeamViewer’s remote connectivity technology to provide real-time visibility into device health and end-user experiences. The goal of this combined stack is to enable proactive issue identification, allowing Thrive's teams to diagnose and resolve technical problems before a client submits a formal ticket.
The operational impact of these integrated technologies is reflected in several key performance metrics. Thrive reports achieving a 73% first-contact resolution rate by centralizing technical support and utilizing comprehensive dashboards for environment visibility. Additionally, the company claims that ServiceNow AI has generated over 92,000 automated assists, including 88,000 resolution notes. This volume of automated assistance has reportedly returned an estimated 14,500+ engineer hours to customer-facing work. By automating routine requests, such as password resets, and utilizing AI-powered assignment and task intelligence, Thrive is positioning its engineering capacity toward higher-value strategic advisory roles rather than repetitive ticket fulfillment.
Key Takeaways
- Thrive achieved a 73% first-contact resolution rate and a 63% reduction in time-to-resolution using ServiceNow TPSM.
- The deployment of AI automation has routed over 315,000 tasks every six months, saving an estimated 21,000 hours of manual work.
- Thrive's Nextgen 3.0 platform integrates ServiceNow DEX with TeamViewer to enable proactive device health monitoring and remote resolution.
TechInsyte's Take
In our view, Thrive’s deployment represents a significant case study in the "agentic enterprise" shift, where the goal is to move from human-led workflows to AI-augmented orchestration. By focusing on the Technology Provider Service Management (TPSM) layer, Thrive is not just adding a chatbot; they are re-engineering the fundamental routing and intelligence layer of their service delivery model. The reported return of 14,500 engineer hours is a critical metric for any MSP, as it demonstrates how AI can be used to defend margins in a competitive mid-market landscape. However, the long-term success of this model will depend on maintaining the 74% adoption rate among fulfillers and ensuring that the "proactive" capabilities of the DEX and TeamViewer integration actually prevent incidents rather than simply increasing the volume of automated alerts.
Questions & Answers
How does the ServiceNow AI implementation impact Thrive's engineering capacity?
Thrive reports that the AI platform has generated over 92,000 automated assists, including 88,000 resolution notes. This has resulted in an estimated 14,500+ engineer hours being returned to customer-facing, high-value work.
What specific technical improvements were noted in ticket resolution speeds?
The implementation of AI-powered assignment and task intelligence reduced the connection time for tickets from six minutes to less than one minute, contributing to a 63% overall reduction in time-to-resolution.
How is Thrive attempting to move from reactive to proactive support?
Thrive is combining ServiceNow’s Digital End-user Experience (DEX) capabilities with TeamViewer’s remote connectivity technology within its Nextgen 3.0 platform to gain real-time visibility into device health and resolve issues before they disrupt the user.
What is the scale of task automation currently managed by Thrive?
Thrive is currently using AI automation to route more than 315,000 tasks every six months through its centralized service management system.
Source: ServiceNow
