ControlUp has launched Pulse AI Resolve, a real-time investigative AI layer that investigates and fixes IT problems directly on the employee’s device, escalating to a human only when an issue grows too complex for the rules IT has set. Announced in San Francisco on October 28, 2026, the tool is a major enhancement of the company’s endpoint self-service capability, previously known as ControlUp Connect, and it is available now. The idea is simple to state and hard to run well: resolve more problems before they ever become help desk tickets, while keeping IT firmly in control of what the AI is allowed to do.
From Ticket Queue To Endpoint Action
Enterprise IT support has, for decades, followed essentially the same escalation model. An employee hits a problem, IT investigates, known issues move through first-line support, and more complex problems climb to specialists. That ladder works, but it is slow, and it turns skilled IT staff into ticket chasers. ControlUp’s answer is to move the ladder itself onto the endpoint, so that investigation and remediation happen where the problem lives rather than in a queue somewhere else.
Pulse Resolve runs on the employee device and monitors endpoint performance to spot problems early. When an issue occurs, it can investigate live device data, work out a likely cause, and apply a remediation matched to the level of autonomy IT has set. It can also start from the other direction: an employee can describe a problem in plain language and trigger the same self-service investigation, or an IT administrator can trigger it from a ticket that arrived with little or no context. ControlUp calls that last case a “cold ticket”, and in it Pulse Resolve triages, diagnoses and remediates on the administrator’s behalf before anyone needs to contact the employee.
The Four Tiers, In Order
The system works across four tiers, escalating step by step only as an issue’s complexity requires. The first three tiers are designed to resolve issues autonomously within IT-defined policies and controls, and the fourth hands over to a person with the work already done.
Pattern matching comes first. It recognises recurring issues and applies IT-approved fixes automatically, mirroring first-line support. Next is an actions library, which assembles across more than 400 custom actions to resolve issues that do not match a known pattern, much like a second-line technician improvising from a playbook. The third tier is agentic AI, which reasons through complex problems and applies fixes within IT-defined governance boundaries, like a specialist working the complicated cases. Finally, human handoff escalates to IT with full diagnostic context already gathered and analysed, so the next tier never starts from scratch.
Through MCP integrations, Pulse Resolve can also coordinate multi-system remediations, including granting access, resetting passwords and installing applications, all within IT’s guardrails.
Governance Is The Product, Not The Footnote
The most important part of the announcement may be the controls wrapped around the automation. IT defines which issues can be resolved autonomously, where approval is required, and when to escalate. Organisations can configure automatic remediation for routine issues, require approval for system-level changes, restrict investigation to certain device groups, and escalate based on custom rules.
Pulse Resolve operates through role-based access controls, organisational policies, approval rules and user consent. Diagnostic analysis takes place locally on the endpoint using targeted, time-bounded data, excluding personal or unnecessary information. If it reaches IT’s limits, it stops and escalates. The same controls apply whether an investigation is triggered by the endpoint, an employee, or an administrator.
“IT teams shouldn’t have to spend their days chasing tickets that AI can investigate and resolve,” said Gadi Feldman, chief product officer at ControlUp. “Pulse AI Resolve puts intelligence and action where the problem is. By combining AI-powered IT self-service with proactive detection and remediation and governance, we can resolve more issues before they reach the help desk, while IT remains in control.”
Why It Matters
This matters because help desk work is where AI’s promise meets its trust problem most directly. An AI that drafts a document can be checked before anything is sent; an AI that changes settings on an employee’s laptop acts first, and its mistakes are felt immediately. Pulse Resolve tries to solve that by borrowing the familiar shape of the help desk ladder and automating it tier by tier, with governance at every level, so that autonomy grows only as far as IT allows. If it works, IT teams spend less time on routine fixes and more on the infrastructure problems that actually need them, much as security teams are pushing remediation to machine speed and agents are being given safe places to run code. If it does not, it will be a reminder that in IT support, as in agent identity and kill switches, the controls matter more than the capability.
Background
ControlUp is a company reinventing IT operations with an AI platform built on real-time data, intelligent decisions and automated action, and its ControlUp ONE platform unifies digital employee experience capabilities with agentic AI under the banner of Autonomous Endpoint Management.
Source: ControlUp announcement
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