FlowPilot helps automate ticket triage, draft specifications, plan sprints, and summarize standups by reading your repos, issue trackers, and team chats. Spend more time building, less time managing.
Generate sprint plan suggestions based on team velocity, dependencies, and project priorities.
Categorize and prioritize incoming tickets based on context and historical patterns.
Communicate with your project using plain English to update tasks and query status.
Visualize and track task dependencies to help identify potential blockers and bottlenecks.
Measure and improve team flow with actionable insights and efficiency tracking.
Keep your backlog clean and prioritized with AI-assisted grooming recommendations.
Build roadmaps that account for technical debt, team capacity, and project risks.
Integrate FlowPilot with GitHub, Jira, and Slack in minutes. No complex configuration required.
FlowPilot analyzes your repos, issue history, and communication patterns to understand your SDLC.
Let AI handle ticket triage, sprint planning, spec drafting, and standup summaries while you focus on development.
FlowPilot connects with the tools your team already uses
Sync repositories, pull requests, and issues
Bidirectional sync with your existing workflows and boards
Receive updates and interact with FlowPilot directly in Slack
FlowPilot adapts to your existing software development lifecycle. Whether you follow Scrum, Kanban, or a custom methodology, our AI works within your established workflows and practices.
Per-seat SaaS with usage-based automation for larger teams
Deep insights into team performance, velocity trends, and bottleneck analysis with customizable reports.
Transform high-level requirements into detailed technical specifications with automatic acceptance criteria.
Proactive risk identification and mitigation strategies based on historical data and project patterns.
"FlowPilot has helped reduce our sprint planning time significantly. The AI suggestions are well-informed by our codebase."
"A tool that respects our existing workflow instead of forcing us to adapt. The natural language interface makes interactions more intuitive."
"The dependency mapping feature has been valuable. We've seen improvement in identifying and addressing sprint blockers."