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AI Agents

Purpose-built AI agents for every role.

Four AI agents โ€” Host, Server, Manager and Marketer โ€” each automating one role across the restaurant. Connected to POS, KDS, loyalty, scheduling and inventory. Trained on your operation, not a generic benchmark.

What are Nova AI Agents?

AI Agents are purpose-built AI workers that handle specific restaurant roles end-to-end. The Host agent runs reservations and waitlist; the Server agent drives tableside upsell and order accuracy; the Manager agent handles labor, inventory and ops alerts; the Marketer agent runs lifecycle campaigns. All four agents share the same guest profile and the same data layer.

Server using a handheld POS tableside
BENEFIT 01

AI Host โ€”
reservations, waitlist, tables.

The Host agent handles reservations across phone, web and app. It manages the waitlist, assigns tables based on cover prediction, and texts guests when their table's ready. Sub-second sync with floor management.

  • 24/7 reservation and waitlist handling
  • Dynamic table assignment from cover prediction
  • SMS communication with guests as their table opens
  • Connected to guest profiles for VIP and repeat handling
Host station at a restaurant entrance
BENEFIT 02

AI Server โ€”
tableside upsell, order accuracy.

The Server agent runs inside the handheld. It surfaces the right upsell at the right moment, calibrated to the guest's last 50 visits. It catches order modifications before they go to KDS. It frees servers to do the work software can't.

  • Calibrated upsell prompts per guest, per visit
  • Order accuracy checks before tickets fire
  • Section pacing and turn-time signals to the server
  • Average ticket lift without scripted prompts
Server using a handheld at a table
+7.4%
Average ticket lift at kiosk; similar uplift tableside
BENEFIT 03

AI Manager + AI Marketer โ€”
ops and growth, end to end.

The Manager agent runs labor optimization, inventory reordering, and real-time ops alerts across every location. The Marketer agent generates personalized campaigns from unified guest data โ€” cohort to send to attribution in minutes.

  • Manager: labor, inventory, ops alerts at every location
  • Marketer: behavioral cohorts and generated offers
  • Both agents share one guest profile and one data layer
  • Reports and decisions are traceable to source data
Cafe staff and manager at the counter
Real example โ€” multi-brand operator

An enterprise customer routes phone reservations through AI Host, runs handheld upsell through AI Server, and triggers labor adjustments through AI Manager โ€” all from one shared guest profile. Operators see four jobs done by one platform, not four contracts.

More from Nova

Other AI capabilities

Book a demo

Hire one platform. Get four AI agents that work the whole restaurant.

20-minute walkthrough across Host, Server, Manager and Marketer. Bring an operational question for each role; we'll show you the agent that owns it.

Restaurant dining room