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Nexthink Introduces AI-Powered Assistant

Nexthink announced Nexthink Assist, an AI powered virtual assistant for Digital Employee Experience (DEX),

Nexthink Assist democratizes digital workplace observability by using large language models (LLM) with Nexthink’s core technology and pre-trained “natural language to query” AI generative model to make IT investigations even easier to use with conversational, layman terms.

“The first Nexthink customers were so excited about the visibility we brought and how it “shined a light” on employee’s digital workplace problems. Today, with Nexthink Assist we’re going a step further to make it even easier to bring to light the answers they need; asking any question and getting answers immediately,” said Samuele Gantner, Chief Product Officer at Nexthink. “Overloaded IT teams, skills gaps limiting hiring and other resource limitations will always constrain IT Teams, but Nexthink Assist makes it easier to tackle user challenges faster. No more query building is the future of IT, we’re excited that technology today is getting ready to meet that vision.”

What can Nexthink Assist do for you and your IT Team?

- Our generative AI system translates a question expressed in natural language into a query to our systems. For example, “Retrieve all devices having Outlook crashes,” and “Which users in London have audio quality issues with Teams today?”

- Easy platform exploration, speeding up diagnostics and remediation with actionable real-time device-based troubleshooting investigations for IT teams.

- Guided product onboarding and self-help to train newcomers to digital employee experience strategies and how best to get started.

- Support in preparing and targeting employee engagement surveys to cut through the digital workplace noise.

- Building custom dashboards, bringing data to life with beautiful visualizations.

- Creating intelligent alerts to notify IT in real time of what matters most.

- Analyzing DEX scores to establish and act on employee's needs.

Customer information is kept private and secure, results are generated without any need for data to be transferred to third party companies.

Nexthink has a robust roadmap for continued innovation with AI and is focused on the continued push to help organizations move from reactive IT troubleshooting to proactive IT management.

Nexthink Assist will be generally available for Infinity customers starting in July 2023.

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Nexthink Introduces AI-Powered Assistant

Nexthink announced Nexthink Assist, an AI powered virtual assistant for Digital Employee Experience (DEX),

Nexthink Assist democratizes digital workplace observability by using large language models (LLM) with Nexthink’s core technology and pre-trained “natural language to query” AI generative model to make IT investigations even easier to use with conversational, layman terms.

“The first Nexthink customers were so excited about the visibility we brought and how it “shined a light” on employee’s digital workplace problems. Today, with Nexthink Assist we’re going a step further to make it even easier to bring to light the answers they need; asking any question and getting answers immediately,” said Samuele Gantner, Chief Product Officer at Nexthink. “Overloaded IT teams, skills gaps limiting hiring and other resource limitations will always constrain IT Teams, but Nexthink Assist makes it easier to tackle user challenges faster. No more query building is the future of IT, we’re excited that technology today is getting ready to meet that vision.”

What can Nexthink Assist do for you and your IT Team?

- Our generative AI system translates a question expressed in natural language into a query to our systems. For example, “Retrieve all devices having Outlook crashes,” and “Which users in London have audio quality issues with Teams today?”

- Easy platform exploration, speeding up diagnostics and remediation with actionable real-time device-based troubleshooting investigations for IT teams.

- Guided product onboarding and self-help to train newcomers to digital employee experience strategies and how best to get started.

- Support in preparing and targeting employee engagement surveys to cut through the digital workplace noise.

- Building custom dashboards, bringing data to life with beautiful visualizations.

- Creating intelligent alerts to notify IT in real time of what matters most.

- Analyzing DEX scores to establish and act on employee's needs.

Customer information is kept private and secure, results are generated without any need for data to be transferred to third party companies.

Nexthink has a robust roadmap for continued innovation with AI and is focused on the continued push to help organizations move from reactive IT troubleshooting to proactive IT management.

Nexthink Assist will be generally available for Infinity customers starting in July 2023.

The Latest

80% of respondents agree that the IT role is shifting from operators to orchestrators, according to the 2026 IT Trends Report: The Human Side of Autonomous IT from SolarWinds ...

40% of organizations deploying AI will implement dedicated AI observability tools by 2028 to monitor model performance, bias and outputs, according to Gartner ...

Until AI-powered engineering tools have live visibility of how code behaves at runtime, they cannot be trusted to autonomously ensure reliable systems, according to the State of AI-Powered Engineering Report 2026 report from Lightrun. The report reveals that a major volume of manual work is required when AI-generated code is deployed: 43% of AI-generated code requires manual debugging in production, even after passing QA or staging tests. Furthermore, an average of three manual redeploy cycles are required to verify a single AI-suggested code fix in production ...

Many organizations describe AI as strategic, but they do not manage it strategically. When AI plans are disconnected from strategy, detached from organizational learning, and protected from serious assumptions testing, the problem is no longer technical immaturity; it is a failure of management discipline ... Executives too often tell organizations to "use AI" before they define what AI is supposed to change. The problem deepens in organizations where strategy isn't well articulated in the first place ...

Across the enterprise technology landscape, a quiet crisis is playing out. Organizations have run hundreds, sometimes thousands, of generative AI pilots. Leadership has celebrated the proof of concept (POCs) ... Industry experience points to a sobering reality: only 5-10% of AI POCs that progress to the pilot stage successfully reach scaled production. The remaining 90% fail because the enterprise environment around them was never ready to absorb them, not the AI models ...

Today's modern systems are not what they once were. Organizations now rely on distributed systems, event-driven workflows, hybrid and multi-cloud environments and continuous delivery pipelines. While each adds flexibility, it also introduces new, often invisible failures. Development speed is no longer the primary bottleneck of innovation. Reliability is ...

Seeing is believing, or in this case, seeing is understanding, according to New Relic's 2025 Observability Forecast for Retail and eCommerce report. Retailers who want to provide exceptional customer experiences while improving IT operations efficiency are leaning on observability ... Here are five key takeaways from the report ...

Technology leaders across the federal landscape are facing, and will continue to face, an uphill battle when it comes to fortifying their digital environments against hostile and persistent threat actors. On one hand, they are being asked to push digital transformation ... On the other hand, they are facing the fiscal uncertainty of continuing resolutions (CR) and government shutdowns looming near and far. In the face of these challenges, CIOs, CTOs, and CISOs must figure out how to modernize legacy systems and infrastructure while doing more with less and still defending against external and internal threats ...

Reliability is no longer proven by uptime alone, according to the The SRE Report 2026 from LogicMonitor. In the AI era, it is experienced through speed, consistency, and user trust, and increasingly judged by business impact. As digital services grow more complex and AI systems move into production, traditional monitoring approaches are struggling to keep pace, increasing the need for AI-first observability that spans applications, infrastructure, and the Internet ...

If AI is the engine of a modern organization, then data engineering is the road system beneath it. You can build the most powerful engine in the world, but without paved roads, traffic signals, and bridges that can support its weight, it will stall. In many enterprises, the engine is ready. The roads are not ...