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Nexthink Integrates with Cherwell

Nexthink announced its integration with the Cherwell IT Service Management (ITSM) solution.

Nexthink’s integration with Cherwell was developed in collaboration with Synerity, a certified Nexthink partner. Together, Nexthink and Synerity help customers maximize the value of their Cherwell implementations.

Nexthink provides real-time visibility and analytics on the usage of the entire IT infrastructure and endpoints from the end-user perspective. All important end-user related events, for example changes in the IT infrastructure, application usage, bandwidth, error messages and crashes, as well as potential security risks and the performance of IT services are recorded and visualized from the end-user perspective.

Synerity offers software and services for Enterprise Service Management, Process Automation and Management and IT Operations Analytics (ITOA). Synerity have released a Cherwell Service Management (CSM) mApp for integration with Nexthink that now is available through the Cherwell mApp Exchange. In addition to the standard functionality and supported metrics built into the mApp, it can be further enhanced and customized upon request.

Cherwell delivers IT service management, workforce and business enablement solutions that allow IT to become a true partner to the business. The integration between Cherwell Service Management and Nexthink IT Analytics enables IT departments to improve end-user support by utilising data from the end-user’s perspective. By successfully bringing in device data and performing aggregations, the integration provides service desk agents with fast reliable indicators for the issues of an end-user’s device. The integration also supports opening up the Nexthink Finder with the device in context for root cause analysis.

“With the integration of Nexthink and Cherwell, service desk agents can get real-time analytics on the health of their IT infrastructure from the end-user perspective directly in their Cherwell console,” said Nathan Wyld, Channel Director Europe at Nexthink. “We are pleased to partner with Synerity to improve IT Service Management.”

“The feedback we have received from service desk managers and agents at our customers and prospects who have seen this integration has been overwhelming. The ability to get real-time analytics directly in the Incident Management form enables service desk agents to understand and service their end-users much more efficiently than before,” said Glenn Alvérus, CEO at Synerity.

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Nexthink Integrates with Cherwell

Nexthink announced its integration with the Cherwell IT Service Management (ITSM) solution.

Nexthink’s integration with Cherwell was developed in collaboration with Synerity, a certified Nexthink partner. Together, Nexthink and Synerity help customers maximize the value of their Cherwell implementations.

Nexthink provides real-time visibility and analytics on the usage of the entire IT infrastructure and endpoints from the end-user perspective. All important end-user related events, for example changes in the IT infrastructure, application usage, bandwidth, error messages and crashes, as well as potential security risks and the performance of IT services are recorded and visualized from the end-user perspective.

Synerity offers software and services for Enterprise Service Management, Process Automation and Management and IT Operations Analytics (ITOA). Synerity have released a Cherwell Service Management (CSM) mApp for integration with Nexthink that now is available through the Cherwell mApp Exchange. In addition to the standard functionality and supported metrics built into the mApp, it can be further enhanced and customized upon request.

Cherwell delivers IT service management, workforce and business enablement solutions that allow IT to become a true partner to the business. The integration between Cherwell Service Management and Nexthink IT Analytics enables IT departments to improve end-user support by utilising data from the end-user’s perspective. By successfully bringing in device data and performing aggregations, the integration provides service desk agents with fast reliable indicators for the issues of an end-user’s device. The integration also supports opening up the Nexthink Finder with the device in context for root cause analysis.

“With the integration of Nexthink and Cherwell, service desk agents can get real-time analytics on the health of their IT infrastructure from the end-user perspective directly in their Cherwell console,” said Nathan Wyld, Channel Director Europe at Nexthink. “We are pleased to partner with Synerity to improve IT Service Management.”

“The feedback we have received from service desk managers and agents at our customers and prospects who have seen this integration has been overwhelming. The ability to get real-time analytics directly in the Incident Management form enables service desk agents to understand and service their end-users much more efficiently than before,” said Glenn Alvérus, CEO at Synerity.

The Latest

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.