Spark

Employees interact with Spark through natural conversations across chat and phone channels. Spark works within enterprise messaging and collaboration environments as well as existing IT self-service portals. Employees simply describe their issue in plain language, and Spark immediately analyzes device, application, and network context to diagnose and resolve the problem in real time. Whether through chat or voice, Spark delivers fast, frictionless IT support wherever employees work.

Spark autonomously resolves common Level 1 IT issues, including collaboration application problems, VPN connectivity issues, device performance slowdowns, endpoint errors, onboarding questions, how-to questions, IT policy guidance and more. By combining DEX-powered diagnostics with IT-approved remediation actions, Spark fixes issues immediately instead of routing them into ticket queues.

Spark is the only personal IT agent built natively on a leading DEX platform. Unlike traditional ITSM chatbots or generic AI copilots that log tickets or suggest knowledge articles, Spark has real-time visibility into endpoint health, application performance, and network conditions, and the ability to take action. It does not just respond to requests; it diagnoses root causes and executes autonomous remediation under IT governance.

Spark enables IT organizations to scale support without increasing headcount. By autonomously resolving repetitive service desk requests, Spark reduces ticket volume, shortens resolution times, and lowers operational overhead. Service desk teams can shift from reactive triage to higher-value initiatives such as automation design, digital experience optimization, and proactive IT operations.

IT retains full control over Spark’s capabilities. Spark only executes actions that have been explicitly approved through IT-managed Agent Actions and workflow orchestration. Policy-based guardrails, complete audit logs, and conversation history ensure transparency, compliance, and governance. Spark operates autonomously, but always within IT-defined boundaries.

Spark includes executive dashboards and value modeling tools that track ticket elimination, service desk efficiency, time saved, and productivity improvements. By feeding interaction and resolution data back into the Nexthink platform, organizations gain measurable visibility into cost reduction, digital experience improvements, and the business impact of autonomous IT support. 

Spark provides detailed operational insights into issue patterns, resolution outcomes, escalation trends, and automation opportunities. Because it is built on Nexthink’s DEX analytics foundation, Spark connects individual employee interactions with broader digital workplace trends. This enables IT teams to identify systemic issues, improve service quality, and continuously optimize support operations.

Spark continuously improves through feedback from employee interactions, resolution outcomes, and IT governance oversight. Service desk teams can refine workflows, expand automation capabilities, and adjust policies to increase autonomous resolution coverage. As Spark learns from real-world usage within your environment, it becomes more precise, efficient, and aligned to your digital workplace. 

Yes. Spark integrates seamlessly into modern enterprise IT environments. It connects with IT service management platforms, collaboration and messaging systems, knowledge bases, identity providers, and endpoint management tools. Spark logs conversations and remediation actions into your ITSM while serving as the autonomous front line for support across chat and phone channels.

Built for modern architectures, Spark also supports secure agent-to-agent communication protocols, enabling interoperability between AI agents, automation platforms, and enterprise systems. Rather than replacing your existing tools, Spark enhances them by adding an intelligent, autonomous resolution layer that accelerates your journey toward zero-ticket IT support.