Morning inbox sorted by urgency, with time estimates
Tessa
Client
Lyra
AI Assistant
Critical on top, waiting-on-others in the middle, noise at the bottom. With time estimates.
Problem Context
Messages and emails come from multiple channels, urgent topics get buried, and manual sorting consumes the first hour of the day. Without a structured triage, you react to whatever's on top.
Client Action
Elena connects his channels and lets the system learn what he treats as urgent vs. routine. No manual sorting.
AI Assistant Action
Classifies into four buckets: Critical now, Needs reply, Waiting for others, Archive-noise. For each, suggests next steps with time estimates. Daily learning improves accuracy.
“I no longer drown in messages in the morning. I immediately see what matters.”
— Elena Petrova
Time saved per day
10 min
Error reduction
70%
Integrations used
3
Setup time
<15min
Frequency of use
Daily