AI project planning tool for eng teams
Describe what you are shipping. Get sequenced work your leads can run, not a ticket-writing week.
Overview
Ravel is an AI project planning tool that starts from a plain project description, not a blank backlog. Share the goal, scope, and constraints, and get teams, tasks, and blockers arranged so parallel work can actually run.
Each task lands with the right owner. Once you confirm, leads get assignments by email. Frontend, Backend, QA, and other streams know what they own without a ticket-writing week.
How it works
- Describe the project (the feature, launch, migration, deadline).
- Ravel suggests teams, tasks, blockers, and completion rules, organized by who owns the work.
- Review the map: adjust tasks, confirm department leads and owner emails.
- Confirm the plan. Ravel emails each owner their assigned tasks by department.
- Execute on the map; finished work unlocks the next owners and notifies them.
Workstreams by department
Departments are the structure Ravel uses at plan time: eng, design, QA, ops, each with leads and owners. The draft respects which team does what, so parallel tracks and handoffs are visible from the first version.
This is different from dumping tickets into one queue. Work is scoped to the department that ships it, with dependencies showing when one track blocks another.
Email distribution to owners
After you confirm the plan, Ravel sends task assignments to department leads and owners by email. Each person gets the tasks they own, with context on dependencies, due dates, and how completion is measured.
As work moves forward, Ravel keeps owners updated. Tasks unlock when blockers clear, risks surface early, and GitHub-linked tasks update when pull requests merge.
When AI sprint planning fits
AI sprint planning is most useful at the start of a new feature, migration, compliance deadline, or cross-team milestone. It helps teams get to a solid first plan quickly, especially when a tech lead or founder is also handling project management.
It also helps teams that spend too much time chasing status in team check-ins. Ravel shows what can happen in parallel, which handoffs are blocking QA, and who should own each task once the plan is confirmed.
AI sprint planning vs. manual tickets
| Manual ticket writing | Ravel AI sprint planning |
|---|---|
| One person writes tickets from memory | Team structure is drafted from one project description |
| Dependencies live in Slack threads | Dependency edges visible on the graph from day one |
| Owners pinged individually after planning | Owners emailed assignments when plan is confirmed |
| Board goes stale after the first slip | GitHub-backed tasks advance from merged code |
| Critical path debated in team meetings | Critical path readable before execution starts |
Ravel does not replace engineering judgment. Your team reviews and edits the draft before confirming it. The benefit is speed and structure: a team-aware plan in minutes instead of hours of manual ticket writing.
FAQ
Do owners need a Ravel account to receive assignment emails?
Task assignment emails go to the addresses you set on department leads and task owners when you confirm the plan. Team members join the workspace to execute and update progress in the graph.
How is this different from manually creating sprint tickets?
You describe the project once. Ravel breaks it into team-owned tasks, maps dependencies, and sends assignments by email, instead of making one person write every ticket and chase owners in Slack.
Can I use AI sprint planning for a fixed two-week sprint?
Yes. Include your deadline and scope in the initial description. Ravel proposes tasks and dependencies aligned to that window; you adjust due dates and owners on the graph before confirming.
How does this relate to AI decomposition?
AI decomposition creates the first task breakdown. AI sprint planning is the full workflow: review the plan, confirm owners, send assignments, and execute with dependency tracking.