Bagel’s AI turns incoming evidence into ready to review generated AI ideas and drops them straight into your backlog with a preliminary impact score (customers affected, ARR, urgency, signals). These AI-suggested items are already prioritized and are waiting for you to validate and pull into quarterly planning.
What happens
Evidences are clustered by similar pains/gaps and creating a new idea.
Impact is pre-calculated (number of customer, ARR, etc.).
The Idea is queued in your backlog, ranked against existing work.
Your next steps
Validate the summary and supporting evidence (calls, tickets, usage).
Decide: promote to roadmap planning, schedule for discovery, or mark Not Planned with rationale.
