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AI & Automation
Atlassian Opsgenie
Atlassian Opsgenie logo
AI & Automation

Atlassian Opsgenie

Atlassian Opsgenie is an AI assistant for DevOps, SRE, and on-call teams. It is designed for organisations that want agents to work inside real workflows rather than standalone demos. With Atlassian Opsgenie, teams can connect existing systems, define guardrails, and give the agent clear responsibilities so it behaves consistently over time. It ingests alerts, logs, and runbooks so the agent can suggest next steps during incidents, automate diagnostics, and reduce manual toil. In practice, Atlassian Opsgenie is most effective when it is rolled out gradually, starting with a narrow set of use cases and clear success metrics, then expanded as trust and understanding grow.

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πŸ“Š At a Glance

Pricing
Freemium
Reviews
No reviews
Traffic
N/A
Engagement
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AI & Automation
Agents & Bots

Key Features

Alert triage

Cluster and prioritise alerts so on-call engineers can focus on the most urgent issues.

Runbook recommendations

Recommend relevant runbooks or past incidents based on current symptoms.

Incident collaboration

Help coordinate updates, timelines, and tasks during an incident.

Post-incident summaries

Generate drafts of incident reviews and action items after resolution.

Role-based access control

Control who can configure, deploy, or use the agent.

Logging and audit trails

Keep records of conversations and actions for compliance and debugging.

Template and workflow library

Start from prebuilt flows or playbooks for common scenarios.

Multi-language support

Support for multiple languages where the vendor offers it.

Custom branding

Brand the experience to match your organisation’s identity.

APIs and SDKs

Integrate the agent into custom applications or back-end systems.

Pricing

Trial or starter

Often includes a free trial or limited starter tier intended for evaluation and small teams.
  • βœ“Access to core features suitable for pilots and proof-of-concept projects.
  • βœ“Constrained limits on users, conversations, or workflows so experimentation remains low risk.
  • βœ“Standard documentation and community or email support.

Business or professional

Paid subscription where pricing depends on seats, usage volume, or both; see the vendor's site for current figures.
  • βœ“Full feature set suitable for everyday use in a team or department.
  • βœ“Higher limits on conversations, automations, or connected apps.
  • βœ“Additional admin controls, security options, and reporting features.

Enterprise

Custom pricing negotiated based on scale, regions, and specific requirements.
  • βœ“Advanced security, compliance, and governance capabilities where available.
  • βœ“Dedicated onboarding, customer success, and integration support.
  • βœ“Volume discounts or committed-use pricing for large deployments.

Use Cases

1

Incident command support

Help incident commanders track actions and communications.

2

On-call onboarding

Guide new on-call engineers through incident processes.

3

Operational hygiene

Suggest cleanup tasks or improvements based on recurring patterns.

4

Internal knowledge assistant

Answer questions from internal documents, wikis, and runbooks.

5

Workflow documentation helper

Turn conversations and activities into updated documentation.

6

Meeting summarisation

Summarise meetings and extract action items for follow-up.

7

Experimentation sandbox

Try new automation ideas before committing engineering time.

8

Cross-functional helper

Assist multiple teams with similar questions or processes.

9

Training and onboarding

Help new hires ramp up faster on tools and processes.

10

Quality and compliance checks

Pre-screen content or workflows for policy issues.

How to Use

  1. Start by reviewing the official documentation and onboarding guides for Atlassian Opsgenie on https://www.atlassian.com/software/opsgenie so you understand supported channels, integrations, and limits.
  2. Integrate Atlassian Opsgenie with your monitoring, logging, and incident management tools so it can access real-time and historical signals.
  3. Teach the agent your runbooks and standard operating procedures so its recommendations match existing practices.
  4. Keep humans firmly in the loop for any changes to production systems, especially in the early stages of deployment.
  5. Create internal guidelines on when to use Atlassian Opsgenie, how to escalate issues, and how to provide feedback so the agent and configuration improve over time.

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At a Glance

Pricing Model
Freemium
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