Aurora AI · Advancing

AI For Advancing.

Advancing is the largest pre-event paper trail in live production. Aurora AI reads your project metadata, talent profile, venue specs, and prior-tour history, then drafts the typed deliverables your advancing flow expects: technical rider, hospitality rider, stage plot description, input list, ground transport, hotel block. You edit, you ship. The clock back goes down by days.

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Ce qu'elle lit

Talent profile (preferred backline, monitor config, hospitality preferences)
Venue specs (rigging points, power, dressing room count, freight elevator)
Project metadata (load-in window, set time, headcount, per-diem rate)
Prior tours from the same artist or production

Ce qu'elle rédige

Technical rider draft with audio I/O, monitor configuration, lighting needs
Hospitality rider draft scoped to dietary + brand preferences on file
Stage plot description tied to the venue's stage dimensions
Input list pre-populated with mic + DI assignments by instrument
Per-stop variance notes flagging changes from the canonical rider

Où elle apparaît.

Draft with Aurora in the Atlas advancing module, grounded in the deliverable
Artists review and counter-edit from the Gateway portal
Compass field carries the advancing references onto daily call sheets

Les modules qu'elle touche.

Advancing Aurora AI Stakeholder Portals

AI For Advancing · FAQ

Does Aurora see other tours?

No. Aurora's scope is your organization. It can reference your prior tours but never another org's data. RLS enforces that at the database, not just in the app layer.

Will it invent specs the artist didn't ask for?

Drafts default to the artist's documented profile + venue defaults. When data is missing, the assistant flags the gap rather than guessing. You see what's grounded and what's inferred.

Autres cas d'usage d'Aurora AI.

AI For Incident Reports AI For Crew Scheduling AI For Proposals AI For Post-Show Recaps AI For Safety Briefings

Atlas est ouvert.

Gratuit pour une personne. Aurora AI incluse à partir de Pro.