AI summaries that catch new team members up in 30 seconds
Long ticket threads and meeting recordings are time bombs for new team members. Tuesday AI in Orbit summarizes them on demand — pulling out decisions, blockers, and next steps so anyone can pick up where the last person left off.
Who it's for
- Service managers onboarding new techs
- Account managers prepping for client meetings
- Anyone who has to read someone else's ticket history
Pain points we solve
- 30-minute read-through to catch up on a single ticket
- Meeting notes that get written 20% of the time
- Client history scattered across emails and tickets
How Orbit fits
Tuesday AI lives inside Orbit. It summarizes ticket threads, meeting transcripts, and full client histories into structured highlights — and the source records stay linked, so you can drill in.
What Orbit delivers
Ticket-thread summaries
Get a structured summary of any ticket's history with decisions, blockers, and current state.
Meeting summarization
Imported meeting transcripts get summarized into action items and decisions.
Client briefings
Pre-meeting briefings pull from tickets, deals, invoices, and recent activity.
When teams reach for this
- Catching up after PTO
- Onboarding a new tech onto an existing account
- Pre-meeting client prep
Frequently asked questions
- Where does the AI run?
- Tuesday AI runs on isolated, opt-in inference. Your client data isn't used to train external models.
Want to see how this works in Orbit?
Pick a 15-minute slot — we'll show how Orbit handles this in your workflow.
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