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Overview

Ask Rootly AI provides two complementary AI assistants designed to support responders during incidents and after the fact.
  • Slack Copilot helps responders ask questions about the current incident directly within an incident Slack channel.
  • Web Copilot enables deeper analysis across incident history and metrics in the Rootly web application.
Together, these tools help teams quickly understand what’s happening, communicate clearly, and analyze trends—without replacing human decision-making.

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Slack Copilot (Ask Rootly AI in Slack)

Slack Copilot is designed for real-time collaboration during an active incident. By mentioning @rootly in a thread within an incident Slack channel, responders can ask questions and receive concise, contextual answers based on the current incident. Via Slack in an incident channel: mention @rootly in a thread
Ask Rootly AI in Slack

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What Slack Copilot Can Help With

Slack Copilot focuses exclusively on the current incident and can:
  • Answer questions about what has happened so far
  • Identify roles such as the incident commander
  • Summarize actions taken and decisions made
  • Help draft internal or external communications
  • Provide general incident response guidance
Example prompts include:
  • What happened?
  • What caused the incident?
  • Who is the commander?
  • What have we tried so far?
  • What should I do next?
  • Write a customer-facing summary of this incident
Responses are intentionally concise to support fast decision-making.

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Limitations

Slack Copilot cannot:
  • Answer questions about historical incidents
  • Modify incident properties
  • Access data outside the current incident
Slack Copilot is restricted to answering questions about the current incident and general incident management practices.

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Web Copilot (AI Copilot in the Web Application)

Web Copilot is designed for broader analysis beyond a single incident. It allows users to ask questions across their entire incident history and analyze trends and performance metrics. Via the web application: open the AI Copilot interface
Ask Rootly AI on the web

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What Web Copilot Can Help With

Web Copilot can:
  • Query incident history using filters such as severity, environment, service, or incident type
  • Group incidents by attributes like service, severity, or team
  • Calculate metrics such as incident count, MTTR, and MTTM
  • Create charts and visualizations
  • Answer questions about trends and patterns over time
Example prompts include:
  • How many incidents occurred last month?
  • What is our average time to resolution for severity 1 incidents?
  • Show incidents grouped by service
  • Create a chart of incidents over the last quarter
Web Copilot maintains conversation context and is suited for analysis, reporting, and operational insights.

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Configuration

Ask Rootly AI features are available to all customers but must be explicitly enabled. To enable these features, navigate to Rootly AI and toggle on Enable Rootly AI. Only Admins can configure Rootly AI settings. Then enable the relevant assistants:
  • Ask Rootly AI — enables Slack Copilot
  • Rootly AI Copilot — enables Web Copilot
For best results with Slack Copilot, configure Slack channel message visibility to All messages or All messages in Public + pinned in Private. This allows Rootly AI to access sufficient context when answering questions.
Rootly AI configuration
Availability in private incidents depends on your Slack channel message visibility settings. For private incidents, AI features are available only when your channel history scope includes private messages.

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Troubleshooting

Ensure Ask Rootly AI is enabled in Rootly AI settings. Verify that you are in an incident Slack channel and mentioning @rootly within a thread. For private incidents, confirm that Slack channel message visibility settings allow AI access.
Ensure Rootly AI Copilot is enabled in Rootly AI settings and that you have access to the Rootly web application.
This is expected behavior. Slack Copilot is intentionally scoped to the current incident only. Use Web Copilot for questions about historical incidents or aggregated metrics.