December 30, 2025

AI-Powered Outage Drafts & SLO Burn Alerts in Rootly

The Modern Challenge of Incident Communications and Reliability

In today's digital world, teams responsible for keeping software running—often called Site Reliability Engineering (SRE) or platform teams—face two major pressures at once. They need to fix technical problems quickly, but they also have to communicate clearly with customers and internal teams about what's happening. During an outage, slow or confusing updates can damage customer trust just as much as the technical issue itself.

The financial impact is significant. Studies show that nearly 70% of companies have faced a crisis in the past five years, with each day of disruption costing an average of $1 million [6]. This is where a platform like Rootly becomes essential. Rootly uses artificial intelligence (AI) to help teams manage these challenges, from proactively detecting issues to automatically drafting communications.

AI Drafting Outage Explanations for Faster, Clearer Communications

Trying to write a clear, calm status update while in the middle of a high-pressure incident is incredibly difficult. It pulls your experts away from the main task: fixing the problem.

Rootly simplifies this with ai drafting outage explanations. The platform's AI analyzes all the real-time data from an incident—like the event timeline, assigned tasks, and even Slack conversations—to automatically generate a first draft of your outage communication. These drafts can then be customized for different audiences, whether it's a technical update for engineers or a simpler explanation for customers.

For instance, you can use the Ask Rootly AI feature to create a quick summary for an executive update or a post for your public status page. This powerful automation handles a critical task, giving your team back valuable time to focus on resolving the incident. You can learn more about how to leverage Rootly's AI tools to streamline your response.

Optimizing External Communications with Sentiment and Tone

During a crisis, what you say is important, but how you say it can make all the difference. For Rootly external comms sentiment optimization, the goal is to communicate with empathy and confidence. Your tone should reassure customers and reflect your brand's voice, even under pressure.

AI is increasingly used to help companies analyze and refine the tone of their crisis communications [2]. With Rootly’s AI Editor, you can easily adjust the tone of the AI-generated drafts. This ensures your messaging is always appropriate for the audience and helps maintain customer trust during a stressful event. These editing capabilities are a core part of the AI features available within Rootly.

Connecting SLOs to Incidents with Proactive Burn Alert Workflows

To understand system reliability, teams often use Service Level Objectives (SLOs). Think of an SLO as a promise you make to your users about your service's availability, like "our website will be up and running 99.9% of the time." The small amount of downtime allowed by this promise is called an "error budget." When you start using up this budget too quickly—known as a high "burn rate"—it's an early warning that trouble is brewing.

This is where the slo alignment with incident workflows in Rootly provides a major advantage. Rootly connects your monitoring tools directly to your incident response process. You can set up Rootly slo burn alert workflows that automatically kick off an incident the moment your error budget starts burning too fast.

Here’s how a typical workflow looks:

  1. A monitoring tool, like Datadog or New Relic, detects a high SLO burn rate and sends an alert to Rootly.
  2. Rootly instantly declares an incident, creates a new Slack channel for it, and pages the on-call engineer.
  3. Rootly AI analyzes the alert data and generates an incident title and a preliminary summary, giving responders immediate context.

This proactive approach helps teams get ahead of issues, which is a key principle of modern crisis management that focuses on addressing early warning signs before they become major incidents [5].

Using AI to Get Up to Speed Instantly

When an SLO burn alert triggers an incident, responders need to understand the situation immediately. Instead of digging through logs or reading multiple alerts, they can simply ask Rootly for a summary.

By using the /rootly catchup command in Slack, anyone joining the incident response effort can get an AI-generated summary of what has happened so far. This is particularly helpful for team members who join an incident after it has started. This Incident Catchup feature ensures everyone is on the same page without disrupting the team working on the fix. After the incident is resolved, AI can also help create a formal mitigation and resolution summary to document what was done.

How Rootly Supports Secure AI-Powered Workflows for the Enterprise

Large companies are often cautious about adopting AI tools, and for good reason. Data privacy and security are top priorities. The question of how does Rootly support large enterprise integrations securely? is a critical one. Organizations need assurance that using AI won't introduce legal, regulatory, or ethical risks [3].

Rootly is designed with enterprise security at its core. Here’s how Rootly provides secure, AI-powered workflows:

  • User Control: Organizations can choose to opt in or out of AI features, giving them full control over how AI is used with their data.
  • Permission Management: Administrators have detailed control over data access permissions, ensuring sensitive information is protected according to company policies.
  • Data Privacy: Rootly is committed to securing customer data. Your incident data is not used to train external AI models without your explicit consent.

This secure and transparent approach allows enterprises to safely leverage the latest AI advancements for incident response, a field where AI is showing incredible promise for automation [7].

Conclusion: A Smarter, Faster Future for Incident Management

By integrating AI into the incident management lifecycle, Rootly helps teams respond faster, communicate better, and build more resilient systems. AI-generated outage drafts save time and ensure your messaging is consistent and empathetic. Proactive SLO burn alert workflows help you catch issues early, before they impact customers.

Rootly securely embeds AI into every stage of an incident, empowering your team to not only resolve issues faster but also to build stronger trust with your customers.

Ready to see how Rootly's AI can transform your incident management? Book a demo to learn more.