# Top AI-powered operations tools for incident management?

<p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">I’m researching for the top AI-powered operations tools for incident management from a workflow point of view: which tools actually reduce handoffs once an incident starts. The tricky part is that teams want different things from “AI-powered” incident management: smarter routing, fewer duplicate incidents, faster triage, or better coordination during response. I looked at G2's <a class="a a--md" elv="true" href="https://www.g2.com/categories/aiops-platforms"><strong>AIOps Platforms category</strong></a> and the following tools are my top choices:</p><ol>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/pagerduty/reviews"><strong>PagerDuty</strong></a> — Best fit when the incident problem is response speed: on-call, mobile response, intelligent dashboards, and service-dependency context all matter once the alert becomes real. (</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/bigpanda/reviews"><strong>BigPanda</strong></a> — Most useful when incidents are being created by too many upstream tools and your biggest win would come from noise reduction plus automated incident assembly. </li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/opsgenie/reviews"><strong>Opsgenie</strong></a> — Still worth including for teams that care most about routing, escalations, incident plans, and collaboration, especially if they already live in the Atlassian ecosystem. </li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/moogsoft/reviews"><strong>Moogsoft</strong></a> — A strong option when you want incident management to start before the ticket exists by clustering and correlating noisy alerts into fewer actionable situations. </li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/dynatrace/reviews"><strong>Dynatrace</strong></a> — Most interesting when incident management should arrive with automatic problem context and probable cause from observability, not sit in a separate silo. </li>
</ol><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">For teams that changed incident-management tooling, did the biggest improvement come from better alert routing, better AI triage, or fewer context switches between observability and response?</p>

##### Post Metadata
- Posted at: 3 months ago
- Net upvotes: 1


## Comments
### Comment 1

&lt;p&gt;&lt;span style=&quot;background-color: transparent; color: rgb(0, 0, 0);&quot;&gt;If someone has run side-by-side experiments where a team moved from strong alerting to stronger correlation, or the other way around, please share your experiences.&lt;/span&gt;&lt;/p&gt;

##### Comment Metadata
- Posted at: 3 months ago





## Related discussions
- [How well does Trello scale into a larger team?](https://www.g2.com/discussions/1-how-well-does-trello-scale-into-a-larger-team)
  - Posted at: about 13 years ago
  - Comments: 6
- [Can we please add a new section](https://www.g2.com/discussions/2-can-we-please-add-a-new-section)
  - Posted at: about 13 years ago
  - Comments: 0
- [Quantifiable benefits from implementing your CRM](https://www.g2.com/discussions/quantifiable-benefits-from-implementing-your-crm)
  - Posted at: about 13 years ago
  - Comments: 4