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Agentic AI

Multi-agent AI- Automated Guest Feedback Intelligence for The Oasis

Automating review management, improving response rates, and converting guest feedback into actionable operational insights.

Oasis

Summary

Through Folio3’s multi-agent AI orchestration, The Oasis transformed review management from a time-consuming manual process into an intelligent, autonomous workflow. The solution enabled the hospitality group to monitor, respond to, and analyze guest reviews in real time, helping maintain a polished digital reputation while reducing the need for constant human oversight.

About the Customer

The Oasis is a premium hospitality brand recognized for its luxury resort experiences and strong focus on guest satisfaction. As its property portfolio continued to grow, the group needed a scalable way to maintain a consistent, refined brand voice across a high volume of online guest reviews. Their goal was to extend the same level of attentive service delivered on-site to every digital guest interaction.

Understanding the Challenge

As The Oasis expanded, its existing review management process became increasingly difficult to sustain. Key challenges included:

  • Operational Delays: Manual monitoring of review platforms caused slower response times, which affected review recency and guest engagement.
  • Inconsistent Brand Voice: Ensuring a sophisticated and unified tone across multiple properties became challenging when responses were handled manually.
  • Untapped Guest Insights: Important feedback about facilities, service quality, and operational improvements remained buried in review text and was not consistently shared with relevant teams.
  • Manager Workload: High review volumes placed additional administrative pressure on property managers, taking their focus away from on-site guest experience management.
  • Solution

    Folio3 implemented Pronto as a multi-agent Agentic AI solution, using a layered orchestration model to manage the complete guest review lifecycle from detection to response and insight generation.

    • Review Monitoring Agent (The Listener): This always-active agent continuously tracks new Google reviews, identifies sentiment, and highlights urgent feedback that requires immediate attention.
    • Conversational Response Agent (The Communicator): Using advanced NLP capabilities, this agent interprets guest intent and identifies specific mentions such as “pool temperature,” “room service,” or “concierge experience” to create personalized, brand-aligned replies.
    • Human-in-the-Loop Approval Agent (WhatsApp Copilot): Folio3 introduced a lightweight approval workflow that sends drafted responses directly to The Oasis managers via WhatsApp. Managers can approve replies with a single tap, while any edits are used to improve future tone and response accuracy.
    • Autonomous Engagement Agent (The Auto-Responder): For high-confidence 4- and 5-star reviews, this agent automatically publishes timely thank-you responses, ensuring positive feedback is acknowledged without adding to the team’s workload.
    • Insight & Learning Agent (The Analyst): This agent continuously reviews guest feedback to identify recurring themes such as check-in delays, facility concerns, or service highlights, turning review data into real-time business intelligence.
    • Orchestration & Scalability Layer: A central Folio3 orchestration layer coordinates all agents across multiple properties, maintaining security, consistency, and brand governance as The Oasis continues to scale.

    Result

    By moving from manual review workflows to Folio3’s agent-led system, The Oasis achieved a 98% response rate and reduced manual administrative effort by 90%. Within the first six months, the group also saw a 0.5-star improvement in aggregate ratings. Most significantly, The Oasis was able to convert raw guest feedback into structured, actionable insights, contributing to a 15% improvement in guest satisfaction scores for facilities identified by the Insight Agent.

    RESULTS & IMPACT

    Project ROI

    The Oasis

    Review Management Efficiency

    Manual Admin Time Before100%
    →
    Manual Admin Time After10%
    90% Reduction in Manual Administrative Time
    OUR LATEST CASE STUDIES

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    Multi-Agent AI Guest Review Intelligence for The Oasis | Folio3 Agentic AI