DraftThis concept page is in progress. The structure is in place, individual exhibits are still being designed. The agent-native cycle is the polished reference.
Sprint Mode, Designed
ProductIntel ships in three modes. This one is the lift-and-shift end of the adoption spectrum: traditional roles, two-week sprints, a kanban board, retro at the end. AI assists where it helps. The shape of the work does not change.
The walkthrough below follows the same scenario as the agent-native cycle, routed through a sprint-based team instead.
The Scenario
“Same idea as the agent-native cycle: surface a customer health score widget on the Account Detail page so support reps see context the moment they open it. This time the work flows through a five-person team running two-week sprints.”
Same idea, different operating mode.
ProductIntel · Work · New Story
Title
Account health score widget on Account Detail
Type
Story · medium · frontend + backend
Description
Add a widget to /accounts/[id] showing health score (0–100), 30-day trend, and top 3 contributing factors. Loads under 200ms on cached score.
Acceptance Criteria
Status
Backlog · Awaiting sprint planning
What the human does
Drafts the story title, description, acceptance criteria. Tags by component and product area.
What AI does
Suggests acceptance criteria from similar past stories. Suggests labels and component tags. Pulls related artifacts.
ProductIntel · Work · Sprint Planning
Sprint
47
Capacity
32 pts
Pulled
28 pts
What the human does
Discusses scope. Confirms estimate. Assigns owner. Pulls into sprint.
What AI does
Suggests an estimate based on similar past stories. Flags risk if scope overlaps with another in-flight story. Drafts the technical breakdown.
ProductIntel · Work · Board · Sprint 47
Backlog
18In Progress
3Review
1Done
6What the human does
Maya implements the story. PRs against feature branch. Demos to team for review.
What AI does
Triage notifications when status stalls. Daily standup summary. Blocker detection by reading PR comments.
ProductIntel · Work · Sprint 47 · Closeout
Planned
28 pts
Delivered
24 pts
Carryover
4 pts
Unplanned
3 pts
AI summary
Sprint 47 delivered 24 of 28 planned points. Account health widget shipped on day 9. KB search relevance carried over due to a database migration dependency that surfaced mid-sprint. Three unplanned points came from a critical bug fix on the consumer chat endpoint. Velocity trends 22 → 25 → 24 over the last three sprints.
What the human does
Demos to stakeholders. Marks sprint complete. Reviews velocity, scope creep, and unplanned work.
What AI does
Generates the sprint report. Compares planned vs delivered. Flags scope creep and carryover patterns over time.
ProductIntel · Work · Sprint 47 · Retro
What went well
What to change
AI noticed
Database migration dependencies have been the source of carryover in 3 of the last 5 sprints. Consider adding a “migration check” step to story refinement.
What the human does
Facilitates the retro. Captures what went well, what to change. Decides on action items.
What AI does
Pre-reads the sprint and surfaces patterns: scope creep sources, dependencies that slowed things, recurring blockers. Drafts discussion prompts.
One Sprint, Closed
The same idea that ran through the agent-native daily cycle also runs through a sprint-based team. The platform does not push the team to switch. It supports the way they already work, and lets AI assist at the moments where it adds value without changing roles.
When the team is ready, individual stories or projects can move into the agent-native mode. The dual-mode design is the actual shape of how companies adopt AI.