AI & Automation
Intelligent job intake
Turn a call, text, or email into a drafted job, complete with details, with human review before anything gets dispatched.
Overview
Typing every new job from a phone call or message is slow and error-prone. Thorbis is building intelligent intake that drafts a job straight from a conversation, pulling the customer, address, and problem into a ready-to-review record. Your team confirms and corrects the draft before it's dispatched, so you get faster intake without losing the human check that keeps dispatch clean.
What we're building
Typing every new job from a phone call or message is slow and error-prone, and the busier the day, the more details slip through.
Thorbis is building intelligent intake that drafts a job straight from a conversation, pulling the customer, address, and problem into a ready-to-review record. Your team confirms and corrects the draft before anything dispatches, with unclear details flagged for confirmation.
It's for office staff handling intake who want faster job creation without losing the human check that keeps dispatch clean.
What you'll be able to do
- Draft jobs from calls, texts, and emails
- Auto-fill customer, address, and problem details
- Require human review before dispatch
- Cut manual data entry on new jobs
- Flag missing or unclear details for confirmation
- Turn a conversation into a ready-to-review job
- Keep a human check before anything dispatches
Rollout plan
- 01
Draft from conversation
In progressTurn a call, text, or email into a drafted job.
- 02
Auto-filled details
In progressPull customer, address, and problem into the draft.
- 03
Human-in-the-loop review
In progressRequire confirmation and flag unclear details before dispatch.
Milestones
- Not started:
Intake drafting built
Generate a job draft from a conversation.
- Not started:
Detail extraction
Auto-fill customer, address, and problem fields.
- Not started:
Review step
Require human confirmation before dispatch.
- Not started:
Uncertainty flags
Mark missing or unclear details for confirmation.
More in AI & Automation
How to send useful feedback
Name the blocked role
Product feedback is more useful when it names the owner, dispatcher, technician, office user, or customer affected.
Explain the workaround
Describe what your team does today and where the process fails under real work.
Define success
Share what would change after launch: time saved, fewer manual steps, cleaner records, or better customer follow-up.