Cognitive Intelligence Layer
17 agents, 7 sprints, 23 MCP tools built — zero lines of code changed
Plan, execute, and retrospect on sprints with integrated velocity tracking, burndown data, and AI-assisted task completion.
Sprint management lives in one tool, development happens in another, and connecting the two requires manual status updates. Teams lose visibility and velocity data is often inaccurate.
AgentFlow unifies sprint planning and execution. Tasks move through statuses as work happens in sessions. Velocity and burndown data is computed from actual development activity, not manual updates.
Sprint planning and execution in one platform
Automatic status updates from session activity
Accurate velocity tracking from real work data
Retrospective capture with actionable items
Book a workflow sprint to scope the approvals, triggers, and deployment model for this kind of rollout.