Rootly

Incident follow-ups tracked and resolved through AI-powered Rootly automation

After every incident, action items pile up. Your AI agent connects to Rootly to surface outstanding tasks, filter by priority or status, and keep your engineering team accountable, all through conversational queries instead of dashboard-diving.

Chosen by 800+ global brands across industries

Post-incident accountability made conversational

Your AI agent queries Rootly's action items API to track follow-up tasks, filter by priority, and surface overdue items so nothing falls through the cracks after incidents resolve.

List Action Items

An engineering manager asks what follow-ups remain from recent incidents. Your AI agent calls Rootly's List Action Items API, filtering by status and priority, and returns a structured summary of open tasks, assignees, and due dates.

Get Action Item Details

A team lead needs specifics on a particular follow-up. Your agent retrieves the full action item record by ID from Rootly, including summary, description, assigned engineer, priority level, status, and associated incident context.

Remove Completed Items

An engineer confirms a remediation step is done. Your agent calls the Delete Action Item endpoint to remove the completed task from Rootly, keeping the action item backlog clean and current without manual dashboard updates.

Filter by Priority

A VP of Engineering wants to see only high-priority post-incident tasks across the organization. Your agent queries Rootly with priority filters and returns critical items that need immediate attention, sorted by urgency.

Track Task Status

During a standup, someone asks how many action items are in-progress versus done. Your agent pulls the full action item list from Rootly with status filters and provides a quick breakdown of open, in-progress, cancelled, and completed counts.

Identify Overdue Follow-ups

Your agent queries Rootly for action items with due dates in the past and a status that is not yet done. It flags these overdue tasks and identifies the responsible engineers, giving leadership visibility into accountability gaps.

Rootly

Use Cases

Incident resolution does not end at recovery

See how AI agents use Rootly data to ensure post-incident action items are tracked, prioritized, and completed, turning incident response into lasting reliability improvements.

Daily Standup Action Item Summary

An SRE team lead asks the AI agent for a summary of open incident follow-ups before standup. Your agent queries Rootly's action items filtered by status 'open' and 'in_progress', groups them by priority, and lists assignees alongside due dates. The team walks into standup knowing exactly what needs attention. No one wastes time pulling up dashboards.

Executive Visibility into Reliability Debt

The VP of Engineering asks how many high-priority remediation tasks are overdue across all teams. Your AI Agent filters Rootly action items by priority 'high' and identifies items past their due dates. The VP gets a concise report showing which teams have outstanding reliability debt. Engineering leadership can redirect resources before the next incident hits.

Closing the Loop on Incident Remediation

An engineer messages the AI agent saying they finished migrating a database to address a root cause from last month's outage. The agent retrieves the matching action item from Rootly, confirms the details with the engineer, and removes the completed item. The incident's action item list stays clean, and the engineering manager sees progress without chasing updates.

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FAQs

Frequently Asked Questions

How does the AI agent access action items from Rootly?

The agent uses Rootly's REST API to query the /v1/action_items endpoint. It can list all action items for your organization, filter by status (open, in_progress, done, cancelled), priority (high, medium, low), and kind (task, follow_up). Results are paginated for large sets. All data is fetched in real time.

Can the agent tell me which incident an action item belongs to?

Yes. When the agent retrieves an action item using the Get Action Item endpoint, the response includes the associated incident context such as summary, description, and related metadata. This gives full traceability from the follow-up task back to the originating incident.

What permissions does Tars need on my Rootly account?

Tars requires a Rootly API key with read access to action items. If you want the agent to delete completed action items, write/delete permissions on action items are also needed. The API key is generated from your Rootly account settings and scoped to your organization.

Does Tars store copies of my Rootly incident data?

No. Action items, priorities, assignees, and incident details are queried from Rootly in real time during each conversation. Tars does not maintain a separate database of your incident management data. Everything is fetched live and used only for the current interaction.

Can the agent filter action items by team or assignee?

The agent can filter action items by kind, priority, and status using Rootly's API parameters. While direct assignee filtering depends on the action item fields returned, the agent can process the results to group items by assigned engineer and present team-specific summaries.

How is using Tars with Rootly different from checking the Rootly dashboard?

Dashboards require logging in, navigating to the right view, and applying filters manually. With Tars, engineers ask questions in Slack or chat and get answers immediately. Your agent brings action item visibility to where your team already works, reducing context switching and increasing follow-through on remediation tasks.

Can the agent remove action items once remediation is confirmed?

Yes. The agent can call Rootly's Delete Action Item endpoint to remove a specific action item by its ID. Before deleting, it retrieves the item details and confirms with the user. This keeps your action item backlog clean without requiring manual dashboard updates.

What happens if there are no open action items when someone asks?

The agent handles this gracefully. If the Rootly query returns an empty list for the specified filters, the agent reports that there are no matching action items and, depending on context, may suggest checking different filter criteria or confirming with the team. No confusing error messages.

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Privacy & Security

We’ll never let you lose sleep over privacy and security concerns

At Tars, we take privacy and security very seriously. We are compliant with GDPR, ISO, SOC 2, and HIPAA.

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