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Nexthink Launches AI Drive

Nexthink announced the launch of AI Drive, a new tool within the Nexthink Infinity platform designed to close the “AI value gap” by giving organizations visibility, guidance, and measurement of AI adoption to increase enterprise productivity and employee confidence.  

“The gap between the revolutionary potential of AI and the reality for most businesses is huge,” commented Pedro Bados, CEO and co-founder, Nexthink. “Companies have committed billions, yet less than half (47%) of employees have the requisite digital dexterity to adapt to these new tools and productivity gains are stalling as a result. Employees are frustrated and leadership teams need answers to basic questions: how are AI tools being used across the organization, where is time being saved, and what measurable benefits are these tools bringing to the business?”

AI Drive has been designed to consolidate visibility, usage, guidance, and measurement into a single vantage point. By combining usage data with robust DEX data with user sentiment analysis, it uncovers employee pain points and adoption barriers, enabling organizations to act with targeted training, communication, and support. This ensures employees gain confidence, build trust in AI, and achieve productivity faster.

AI Drive covers general-purpose tools (ChatGPT, Gemini, Copilot, Claude), AI embedded in enterprise platforms, custom tools and more, ensuring no part of the AI landscape is overlooked. And, because AI Drive enables companies to benchmark themselves against 1,000+ global organizations, leaders can see if they are leading or lagging behind when it comes to deriving value from their AI investments across key metrics such as AI engagement time per employee.  

Key features:

  • Visibility: Gain oversight of the full AI landscape, eliminating blind spots and enabling governance, compliance, and informed investment.
  • Usage: Discover how top performers succeed, gain evidence of which use cases create value, and direct adoption strategies accordingly.
  • Guidance: Supports employees in gaining confidence with AI tools faster and helps replicate proven success from champions to the broader workforce.
  • Measurement: Deliver board-ready dashboards that translate AI activity into ROI while providing leaders with context through benchmarking.

“This is not about slowing down AI, it’s about making it sustainable,” added Bados. “Those who can measure and steer AI will not just withstand the shift; they will define the next era of transformation. But that is only possible if businesses are able to track how every AI tool is being used across the organization, empowering employees to use them with confidence and precision, while giving leaders visibility into outcomes and productivity at scale.”

AI Drive will be available to all Nexthink Workplace Experience customers at no additional cost starting October 30.

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Nexthink Launches AI Drive

Nexthink announced the launch of AI Drive, a new tool within the Nexthink Infinity platform designed to close the “AI value gap” by giving organizations visibility, guidance, and measurement of AI adoption to increase enterprise productivity and employee confidence.  

“The gap between the revolutionary potential of AI and the reality for most businesses is huge,” commented Pedro Bados, CEO and co-founder, Nexthink. “Companies have committed billions, yet less than half (47%) of employees have the requisite digital dexterity to adapt to these new tools and productivity gains are stalling as a result. Employees are frustrated and leadership teams need answers to basic questions: how are AI tools being used across the organization, where is time being saved, and what measurable benefits are these tools bringing to the business?”

AI Drive has been designed to consolidate visibility, usage, guidance, and measurement into a single vantage point. By combining usage data with robust DEX data with user sentiment analysis, it uncovers employee pain points and adoption barriers, enabling organizations to act with targeted training, communication, and support. This ensures employees gain confidence, build trust in AI, and achieve productivity faster.

AI Drive covers general-purpose tools (ChatGPT, Gemini, Copilot, Claude), AI embedded in enterprise platforms, custom tools and more, ensuring no part of the AI landscape is overlooked. And, because AI Drive enables companies to benchmark themselves against 1,000+ global organizations, leaders can see if they are leading or lagging behind when it comes to deriving value from their AI investments across key metrics such as AI engagement time per employee.  

Key features:

  • Visibility: Gain oversight of the full AI landscape, eliminating blind spots and enabling governance, compliance, and informed investment.
  • Usage: Discover how top performers succeed, gain evidence of which use cases create value, and direct adoption strategies accordingly.
  • Guidance: Supports employees in gaining confidence with AI tools faster and helps replicate proven success from champions to the broader workforce.
  • Measurement: Deliver board-ready dashboards that translate AI activity into ROI while providing leaders with context through benchmarking.

“This is not about slowing down AI, it’s about making it sustainable,” added Bados. “Those who can measure and steer AI will not just withstand the shift; they will define the next era of transformation. But that is only possible if businesses are able to track how every AI tool is being used across the organization, empowering employees to use them with confidence and precision, while giving leaders visibility into outcomes and productivity at scale.”

AI Drive will be available to all Nexthink Workplace Experience customers at no additional cost starting October 30.

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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 ...

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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 ...