Demonstrating the power of bulk changes to delivery plans

So I've added some bulk operations to the SMT app.

Bulk AI Agent Scenarios (Macro Operations)

Empower the agent to perform complex, multi-entity updates that are tedious to do manually. Each plan highlights the scope before execution (e.g., “This will affect 12 teams...”).

1) Capacity & Resourcing Manager

• User intent: “Reduce all teams’ capacity by 20% to account for burnout.” / “Set everyone’s AI productivity gain to 15%.”
• Tool: bulkUpdateTeamCapacity (supports capacityReductionPercent, aiProductivityGainPercent, avgOverheadHoursPerWeekPerSDE, plus filters by teamIds or orgIdentifier).

2) Strategic Portfolio Manager

• User intent: “Move all ‘Low ROI’ initiatives to the Backlog.” / “Approve all initiatives under the ‘Cloud Migration’ goal.”
• Tool: bulkUpdateInitiatives (criteria: goalId, themeId, roiValue, confidenceLevel, status, isProtected).

3) Scope Trimmer (“Haircut” Tool)

• User intent: “Reduce the scope of all committed initiatives by 10% to fit the plan.”
• Tool: bulkAdjustInitiativeEstimates (adjustmentFactor scales SDE-year assignments; same criteria options as above).

4) Org Restructurer (Advanced)

• User intent: “Move all teams from John Doe to Jane Smith.”
• Tool: bulkReassignTeams (moves all teams from one SDM to another).

Safety checks

• Bulk operations can be destructive; the agent surfaces an impact summary before running (e.g., “Reducing capacity for 15 teams”).
• Plans are shown to the user before execution; review the description to confirm scope.

Example scenarios

• Scenario A: “Austerity” Plan — “Increase overhead to 10 hours/week for everyone and move all ‘Low’ confidence initiatives to the backlog.”
  • Plan: bulkUpdateTeamCapacity({ avgOverheadHoursPerWeekPerSDE: 10 }) + bulkUpdateInitiatives({ status: 'Backlog' }, { confidenceLevel: 'Low' })
• Scenario B: “AI Boost” — “Assume 20% productivity gain for all teams.”
  • Plan: bulkUpdateTeamCapacity({ aiProductivityGainPercent: 20 })

Here's a transcript of the chat - using AI agent to tweak the year plan: