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ARIP · Pilot program

Your commercial team, working as one system.

ARIP coordinates specialist AI agents across pricing, marketing, distribution, and guest revenue — with the controls and visibility hotel teams need.

ARIP is in development. Pilot workflows are shaped with participating hotels.

ARIP orchestration map

Illustrative pilot workflow

Demand
Guest intent
Performance

ARIP orchestrator

Shared context · policy checks · decision record

Rate action
Campaign brief
Guest offer
Hotel-defined controls
Shared agent context
Reviewable decisions
The operating loop

From signal to governed action.

ARIP is designed to coordinate work without hiding how a decision was reached.

01

Observe

Collect approved commercial and guest signals.

02

Coordinate

Share context across specialist agents.

03

Check

Apply hotel rules, limits, and approvals.

04

Act & explain

Execute approved work with a reviewable record.

Specialist agents

Six roles. One shared operating context.

Each agent has a focused job. The orchestrator connects their work so one decision does not undermine another.

Revenue & pricing

Monitors demand signals and proposes rate actions within your rules.

Performance media

Coordinates campaign budgets, audiences, and creative tests.

Organic growth

Finds high-intent search gaps and turns them into reviewable content briefs.

Distribution

Watches channel consistency, availability, and rate parity signals.

Guest intent

Turns guest conversations into useful commercial and service context.

Ancillary revenue

Matches relevant upgrades and hotel services to the right moment.

Control layer

Automation should be inspectable.

ARIP is being designed around bounded actions: the hotel defines limits, teams choose approval levels, and every material action leaves a readable record.

  • Policy checks before action
  • Approval gates for sensitive changes
  • Evidence and outcome recorded together

Illustrative decision record

Demand signal detected
Pricing agent proposes change
Hotel policy is checked
!Approval required

Proposed action

Review a rate adjustment for high-demand dates

EvidenceDemand + availability signals
PolicyWithin configured rate band
Next stepManager approval

Help shape the pilot

Build an AI commercial workflow around your hotel’s real constraints.

We’re speaking with hotel operators about the decisions they would automate, review, or keep fully human.