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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What It Reads

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

What It Drafts

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

Where It Shows Up.

ATLVS advancing module — draft with Aurora, grounded in the deliverable
GVTEWAY artist portal — artists review and counter-edit
COMPVSS field — daily call sheets carry the advancing references

Modules It Touches.

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-enforced 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.

Other Aurora AI Use Cases.

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

ATLVS Is Open.

Free for small teams. Aurora AI included on Crew and up.