Multi-agent AI- Guest Review Intelligence for The Oasis

Summary

Using Folio3’s multi-agent AI orchestration, this solution transforms reputation management from a manual burden into an intelligent, self-operating workflow. The Oasis required an autonomous system to manage, respond to, and extract operational intelligence from guest reviews in real-time, ensuring a flawless digital presence with minimal human intervention.

About the Customer

The Oasis is a premium hospitality group known for its luxury resorts and commitment to guest excellence. With a growing portfolio of properties, the group faced the challenge of maintaining a consistent, high-touch brand voice across thousands of online reviews. They sought a solution that could match their physical world-class service with a responsive and intelligent digital persona.

Understanding the Challenge

As The Oasis scaled, their traditional approach to review management became a significant bottleneck. The primary challenges included:

• Operational Latency: Manual dashboard monitoring led to delays in acknowledging guest feedback, affecting "recency" scores.
• Fragmented Branding: Maintaining a unified, sophisticated brand voice across multiple locations was difficult with manual replies.
• Data Underutilization: Valuable guest insights regarding facility improvements were trapped in text reviews and rarely reached the operations team.
• Manager Burnout: High-volume review cycles distracted property managers from on-site guest experiences.

Solution

Folio3 deployed Pronto as a multi-agent Agentic AI system, utilizing a layered orchestration framework to handle the end-to-end review lifecycle.

• Review Monitoring Agent (The Listener): This agent operates as an "always-on" sentinel, instantly detecting new reviews on Google, classifying sentiment, and flagging urgent feedback for immediate attention.
• Conversational Response Agent (The Communicator): Using advanced NLP, this agent analyzes guest intent and specific mentions (e.g., "pool temperature" or "concierge service") to generate brand-aligned, highly personalized responses.
• Human-in-the-Loop Approval Agent (WhatsApp Copilot): Folio3 integrated a lightweight agent that delivers drafted replies to The Oasis managers via WhatsApp. It allows for one-tap approval and "learns" from any manual edits to refine future tone.
• Autonomous Engagement Agent (The Auto-Responder): For high-confidence, 4–5 star reviews, this agent autonomously publishes instant thank-you messages, ensuring every positive guest is acknowledged with zero operational effort.
• Insight & Learning Agent (The Analyst): This agent continuously parses review data to detect recurring themes (e.g., "check-in delays") and provides The Oasis with real-time business intelligence to drive operational changes.
• Orchestration & Scalability Layer: A central Folio3 orchestrator coordinates all sub-agents across multiple properties, ensuring enterprise-grade security and consistent brand standards as the group expands.

Result

By shifting from manual workflows to Folio3’s agent-driven system, The Oasis achieved a 98% response rate and a 90% reduction in manual administrative time. The implementation led to a 0.5-star increase in aggregate ratings within the first six months. Most importantly, the hotel group successfully converted raw guest feedback into actionable data, leading to a 15% improvement in guest satisfaction scores related to specific facilities highlighted by the Insight Agent.