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  1. Home
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  4. Concerts
AI assistant · Concerts

AI assistant for Concerts.

An AI that reads your projects, crew, and budgets — not the public internet. Drafts riders, RFPs, call sheets, and recaps on demand. Concert touring operations live in forty spreadsheets. We keep the canonical rider in one place and scope per-venue variants on top — no copy-paste, no lost revisions.

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How It Shows Up

What Concerts Teams Run On AI assistant.

Streams responses — Answers stream as they generate — no waiting for the wall of text. On concerts jobs, this shows up as single-night shows, amphitheatres, arenas.

Grounded in your data — Riders, RFPs, call sheets, recaps, safety briefings — drafted from your projects, not the public internet. On concerts jobs, this shows up as single-night shows, amphitheatres, arenas.

Per-org history — Every conversation scoped to your workspace, searchable, never cross-organization. On concerts jobs, this shows up as single-night shows, amphitheatres, arenas.

Fast or deep — Pick the quick model for day-to-day, the deep one when you need reasoning — per conversation. On concerts jobs, this shows up as single-night shows, amphitheatres, arenas.

Industry Outcomes

What Changes For Concerts Operators.

Purpose-built for Concerts — single-night shows to stadium-scale runs. Canonical rider, per-venue overrides, shared crew pool, venue advancing, real-time box office metrics, and a field app the house staff actually wants to use.

  • Canonical rider with per-venue overrides — edits cascade correctly
  • Shared crew pool with per-show scheduling and day rates
  • Per-diem and emergency advances payout on approval
  • Box-office metrics and seat-map deltas in real time
  • Credentials (DOT, insurance, certs) tracked with expiry alerts
  • Daily settlement in under 48 hours post-show

The AI assistant Feature Set.

The same primitives that ship in our AI assistant module — applied to concerts workflows.

Streams responses

Answers stream as they generate — no waiting for the wall of text.

Grounded in your data

Riders, RFPs, call sheets, recaps, safety briefings — drafted from your projects, not the public internet.

Per-org history

Every conversation scoped to your workspace, searchable, never cross-organization.

Fast or deep

Pick the quick model for day-to-day, the deep one when you need reasoning — per conversation.

Cost-controlled

Rate limits and budgets keep runaway usage from ever being a surprise.

Auditable

Every interaction logged — who, when, which model, which data it touched.

Run AI assistant On Concerts Production.

Sign up free for small teams. Per-org pricing the rest of the way up.

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AI assistant for Concerts · FAQ

Does the AI see other orgs' data?
No. Every tool the assistant can call is scoped to your organization. It can't reach into anyone else's data — by design.
Which model does it use?
A fast model by default for day-to-day work, with a deep-reasoning model available per conversation for heavier tasks like proposal drafting or contract review.
Can the canonical rider handle multi-artist bills?
Yes. Each artist has its own project under the parent tour. Advancing, schedule, travel, and rider stay scoped per artist; shared venue info lives on the parent.
Do advances pay out directly?
Yes. Cash advances route directly to the crew member's linked account. Approval to payout is usually under two minutes.
Can I pull manifest data from my ticketing vendor?
Yes. CSV bulk imports, webhook from the major ticketing systems, or manual upload. The mobile scanner works offline and syncs when it reconnects.

Other Modules For Concerts.

One database. Every module reads from the same record.

Office ConsoleStakeholder PortalsField Mobile AppFinanceProcurementProductionComplianceInteractive ProposalsEvent Guides (KBYG)Ticketing + check-inAdvancing

AI assistant For Other Industries.

Live EventsFestivals & ToursImmersive ExperiencesBrand ActivationsCorporate EventsTheatrical PerformancesBroadcast, TV & Film

ATLVS Is Open.

Free, forever, for small teams. Per-org pricing the rest of the way up.

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