Purpose
Luna AI is an AI project management tool for engineering and product leaders, with the goal of connecting strategy with Jira execution. It helps teams track OKRs and roadmaps, identify risks early, and automatically generate updates for management and colleagues, thereby reducing the busy work of coordination and reporting and enabling teams to align and deliver faster.
Main Capabilities
- Connect strategy with Jira execution, and track OKRs and roadmaps.
- Identify risks in Jira early and help mitigate them.
- Automatically generate concise status updates and executive summaries based on Jira, Slack, and initiative data.
- Automate busy work and support strategic alignment from OKRs to execution.
- Assist with smarter roadmap decisions.
- Support the full product lifecycle: set goals (OKRs), plan roadmaps, track execution, and launch releases.
- Provide AI sprint analysis and status updates, AI OKR generation, and roadmap linking.
- Serve as a release portal, providing an overall project snapshot.
- Support custom views for the CEO and cross-functional stakeholders to track key projects.
- Provide advanced templates to accelerate project structuring and coordination.
- Bi-directional collaboration with Slack: receive notifications of key changes in Slack channels, view and update roadmaps in Slack, sync threads to Luna comments for AI reports, and create initiatives or requests directly in Slack.
- Support all Jira configurations, including custom workflows and cross-project references, without changes; contact the official team for handling missing fields.
- No need to clean data; existing Jira can be used directly.
- Coming soon: AI-powered data hygiene tools to help keep Jira up to date.
How to Use
- Connect Jira and Slack.
- Run AI sprint analysis, or import Jira epics into a Luna roadmap.
- Even without Jira, Luna AI can be used independently to generate OKRs and roadmaps with AI, and provide stakeholders with visibility into plans and implementation.
- AI analysis can be run at any stage to uncover insights and risks.
- Get up and running and see value in just a few minutes.
- AI-generated status updates are always reviewed and approved by a human before being shared with a broader audience.
- Visibility is controllable: it can be shared with the team, leadership, or kept private in the Insights Hub.
Use Cases
- Product teams need to align OKRs with Jira execution.
- Management and cross-functional stakeholders need portfolio insights and risk monitoring.
- There is a need to reduce cross-departmental coordination and reporting time.
- There is a need to unify project checkpoints and replace processes scattered across spreadsheets.
- When the release process is complex and milestones and communication are unclear, provide certainty in the release process and reduce delays.
Limitations and Security
- The free tier provides most features, including AI OKR generation, roadmap linking, AI sprint analysis, and status updates, but is limited to 3 editors.
- Paid plans unlock higher editor limits, AI analysis, and roadmap usage caps.
- The official team states that AI output has undergone extensive testing and iteration, learns from users' Jira and Slack data to provide relevant and reliable updates, and users can edit and approve before publishing.
- On security: strict security protocols are followed, including end-to-end encryption and role-based access control (RBAC), ensuring that AI subprocessors do not retain any data; user data will not be used to train models.
- Pricing is not provided in the materials; please refer to the official pricing page.