The Analysis Layer of Pulse AI
Pulse Insights is an IT analytics layer within the ControlUp ONE platform and its agentic AI engine. It runs on a schedule to correlate and examine data in your environment—spotting trends and delivering prioritized insights when something meets its criteria, so only meaningful findings get surfaced.
Replace Searching with Understanding
Engineers spend hours combing through events to find what matters. Recurring issues and emerging trends go unexplained because nobody connects them to environmental changes. Pulse AI Insights flips the model from “search for issues” to “issues find you.”
- Proactive IT Analysis: Runs on a schedule, evaluating telemetry against a baseline and surfacing a finding only when something meets its criteria.
- Signal Over Noise: An optimized environment might not show anything. No active insights can genuinely mean nothing meets the criteria, and that’s a good outcome.
- Built on Existing Data: Runs on top of what you already have; no new agent, data source, or deployment project is required.
From Finding to Root Cause
Events tell you what to investigate. Pulse Insights tells you what to pay attention to, and increasingly, what to do about it. For issues like app crashes, it connects the dots that are easy to miss manually.
- Baseline & Deviation: Establishes a rolling baseline from recent history and flags meaningful deviations against it.
- Environmental Correlation: Surfaces changes on the device, such as driver or browser updates, that are difficult to catch by hand.
- AI-Generated Summaries: Every finding ships with a plain-language summary and recommended next steps.
- Guided Investigation: Hands off directly to Pulse AI Assistant, moving from “here’s the problem” to “here’s how to look into it.”
Prioritized, Not Overwhelming
Not every insight is an operational emergency, and IT shouldn’t have to guess which ones are.
- Severity-Based Prioritization: Findings are ranked by severity, with impacted device and user counts, so IT can focus on what matters most first.
- Full Context in One Place: Drill into the complete data and analysis behind every finding without switching tools.
- Historical Record: Insights are retained in-product, so recurring patterns are visible over time, not just in the moment they’re found.
- Governed Access: RBAC controls let you manage access to Pulse Insights as a feature, and to individual use cases, so the right teams see the right findings.
The ROI of Proactive IT Insights
Cut the time engineers spend searching for problems already in the data.
- Less Manual Searching: Spend minutes reviewing prioritized findings instead of hours looking through events.
- Catch What Others Miss: Quietly growing crash trends, unused licenses, and new assets surface automatically instead of going unnoticed.
- Not Another Deployment: Runs on telemetry ControlUp already collects, so there’s no new rollout project to justify or manage.
Related Resources
FAQs
How does Pulse Insights help IT find issues without manually searching for them?
Proactive IT starts with not having to go looking for problems yourself. Pulse Insights proactively surfaces findings, patterns, and opportunities, like recurring app crashes or unused licenses, automatically, so engineers don't spend hours combing through events to find what matters.
How does Pulse AI Insights turn raw telemetry into IT operations analytics that teams can act on?
Take an application crashing across multiple machines: Pulse AI Insights runs scheduled telemetry analysis against a baseline for that use case, flags the deviation, and surfaces correlated environmental changes, like a recent driver update, that point to the likely cause. Each finding ships with a plain-language summary and recommended next steps, so IT gets operations analytics they can act on immediately, no separate query or dashboard required.
Does Pulse Insights monitor in real time?
No. Pulse Insights runs on a schedule, not continuously; operational insights run daily, and informational insights run weekly or monthly, depending on the use case. This keeps the focus on meaningful patterns rather than second-by-second alerting.
What happens when Pulse Insights finds something like a recurring app crash?
For findings like App Crash, Insights establishes a baseline from recent history, flags a deviation from it, and surfaces correlated environmental changes on the device, such as a driver or browser update, that are difficult to catch manually. From there, it hands off directly to Pulse Assistant for guided investigation.
If my environment doesn't show any active insights, does that mean something's wrong with the monitoring?
No. Insights are deliberately selective; an insight only appears when its underlying use case finds something relevant. An environment with no active insights can genuinely mean that nothing meets the criteria, which is a good outcome, not a coverage gap.
Does using Pulse Insights require deploying a new agent or tool?
No. Insights run on top of the existing ControlUp telemetry. There's nothing new to roll out.
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