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Balance Workday

Built for Teams

Shapes healthier, higher-output workdays inside MS Teams by balancing meetings, focus time, and after-hours boundaries. It learns personal/role patterns, proposes minimal-disruption reflows, nudges teams to adopt them, and gives HR privacy-preserving impact metrics—reducing overload drivers before they become leave cases.

Shapes healthier, higher-output workdays inside MS Teams by balancing meetings, focus time, and after-hours boundaries. It learns personal/role patterns, proposes minimal-disruption reflows, nudges teams to adopt them, and gives HR privacy-preserving impact metrics—reducing overload drivers before they become leave cases.

Agent Tools

Agent Tools

Agentic tasks

Overview of all the tasks the agent handles

Overview of all the tasks the agent handles

Learned focus windows; inserted protected blocks

Completed

Converted low-value meetings to async; trimmed attendee lists

Converted low-value meetings to async; trimmed attendee lists

Completed

Set quiet-hour rules & load alerts; auto-rebooked spills

Set quiet-hour rules & load alerts; auto-rebooked spills

Completed

Team-level capacity plan with seasonal peaks

Team-level capacity plan with seasonal peaks

In progress

Solved problems

Benefit metrics

Benefit metrics

Focus Time

Avg.

9.1

hrs/week

+51%

Meeting Bloat

Avg.

−4.7

hrs/week

−24%

After-Hours

Avg.

−42

chats/week

−36%

How it works:

  • Personalized day shaper: Learns individual cadence (energy peaks, response latency, meeting fatigue) and role constraints.

  • Multi-party optimizer: Coordinates across attendees to minimize disruption—proposes swaps, merges, or async with one-click apply.

  • Policy engine: Enforces HR rules (quiet hours, max meeting density, recovery buffers) and documents exceptions.

  • Closed-loop control: Sense → simulate impact → act (reschedule/convert/alert) → review outcomes; auto-tunes to cut noise.

  • Native to Teams/O365: Works in chat, calendar, and files; manager prompts stay compliant and consistent; privacy by design with aggregated reporting.

People adoption

Avg. share using Agent

Avg. share using Agent

0%
0%
0%

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