Production-ready AI agents for guest servicing, reservations, revenue optimization, housekeeping, and F&B. Fully integrated with your PMS, POS, and distribution stack.
Most hospitality teams try a chatbot or off-the-shelf AI tool and hit the same gaps: it cannot touch the PMS, it breaks on exceptions, and guests notice. Custom hospitality AI agent solutions are built around the workflows where these gaps surface.
Cannot read reservations, room status, or folios. Every PMS workflow needs a human.
Built with your PMS API in scope. Read and write to OPERA, Mews, Cloudbeds, or Apaleo from day one.
Handle the happy path. Rate disputes, no-show overrides, or group amendments produce dead ends.
Exception logic scoped during discovery, not discovered in production.
Read-only. Surface information but cannot update bookings, trigger tasks, or post charges.
Controlled write access to PMS, POS, and downstream systems, scoped and logged.
PCI DSS, GDPR, and CCPA bolted on after the fact, if at all.
Compliance scoped in architecture. Tokenization, WORM trails, and RBAC are defaults.
A chatbot tells the guest checkout time and closes the ticket.
Custom agents complete the full workflow, with human review at designated checkpoints.
Each agent below addresses a specific operational workflow. The use case determines architecture, PMS integration depth, and compliance scope.
Agents handle inbound guest requests across chat, voice, and messaging: recommendations, preferences, service requests, and complaint escalation. System actions are executed directly; judgment calls are routed with full context.
Agents read live availability from your CRS or PMS, apply rate logic, and process bookings, amendments, and cancellations. Staff handle overrides and group blocks; the agent handles the volume.
Agents monitor pickup pace, competitor rates, and demand signals to surface pricing recommendations or execute pre-approved rate moves within guardrails. Revenue managers review exceptions; standard responses run automatically.
A single agent handling guest servicing, revenue, and operations is the wrong architecture. We build orchestrated multi-agent systems where specialists handle their domain.
Request a PoC ProposalA central orchestrator receives requests and routes to the correct specialist. The orchestrator manages handoffs, conflict resolution, and escalation paths.
Agents retain context across sessions. A noise complaint on night one is recognized on night two. Memory is structured, retrievable, and cleared per your retention policy.
Agents connect via certified API access. Write access is scoped to the minimum required per agent function. Each write is validated, logged, and recoverable.
High-stakes decisions route to a human reviewer with full agent context: the request, the data used, and the action proposed. Decisions feed back into the agent's evaluation set.
Interviews with department heads. Audit of systems, data, and workflows. Output: ranked use cases, KPIs, and integration requirements.
Inventory every data source the agent touches. GDPR, PCI, and CCPA obligations are settled here, when fixes take hours, not weeks.
Orchestrator, specialists, memory, tools, and escalation logic. Compliance embedded before development. Sign-off required.
Build and validate PMS, POS, CRM, and payment integrations. Auth, normalization, and write-back tested in staging before live connection.
Outputs evaluated against property-specific workflows and edge cases. Hallucination, completion accuracy, and escalation precision measured against agreed KPIs.
Controlled pilot with real guests and human review at defined checkpoints. Production rollout follows a go/no-go review.
Monitoring tracks volume, completion, escalations, and satisfaction. Drift detection flags degradation early. Quarterly retraining keeps the agent current.
Hospitality handles payment data, guest PII, and cross-border transfers at once. Compliance cannot be retrofitted. Every Folio3 build is scoped with PCI DSS, GDPR, CCPA, and SOC 2 requirements from the first design session.
Request a PoC ProposalCard data never reaches LLM inference. Agents see payment outcomes — approved, declined, flagged — not raw card data.
Guest identifiers are tokenized before the model. De-tokenization happens at output, under access controls, for authorized roles only.
RBAC defines which agents access guest data or trigger actions. Every event logged with timestamp, agent, and input.
Agent decisions land in WORM storage. No log can be modified or deleted. Any decision is reconstructable for audits.
Every agent is built for your property, your PMS, and your guest workflows. We scope your workflows first, then design the architecture.
Our engineers understand rate plan hierarchies, OPERA Cloud API behavior under load, and folio correction workflows. That knowledge is not picked up on a kickoff call.
We have shipped production integrations with OPERA Cloud, Mews, Cloudbeds, Oracle MICROS, IDeaS, and Amadeus, covering read, write, and event-triggered workflows.
Operational outcomes from Folio3's production deployments. Ranges reflect variation in property size, baseline automation, and workflow complexity.
Routine requests handled end-to-end. Manual handling drops 40–60% at properties with high digital adoption.
Specific questions get specific answers. Drop-off between intent and confirmation falls when visitors get live availability and rate comparisons.
Offers presented at the right moment: pre-arrival, check-in, F&B touchpoints. Conversion lifts when offers match availability, segment, and stay history.
Every Folio3 hospitality AI engagement targets a production-ready system: PMS integration complete, compliance signed off, monitoring live, and runbooks in your hands. Book a 45-minute discovery call with a hospitality AI architect and walk away with a recommendation on architecture, integration, compliance, and timeline.
Book a Discovery Call Now!
Agents receive checkout notifications, assign cleaning by priority and floor proximity, and update room readiness in real time. Maintenance requests are triaged and routed without front desk intervention.
Agents take orders through guest messaging, check item availability, submit to the POS, and provide delivery estimates. Upsell prompts are based on order history and stay segment, not static scripts.
Agents flag high-value guests near tier thresholds, trigger retention offers, and manage points redemption through your CRM. Post-stay, agents initiate review requests and recovery workflows.
Agents handle pre-arrival communication, document collection, identity verification, and room assignment. At kiosks or via messaging, the agent presents folio summaries and routes upgrade offers.
Agents manage event intake, coordinate sales, catering, and AV teams, and track BEO status. Last-minute changes are logged and communicated across departments without manual chains.
Agents flag anomalous transactions, cross-reference folios against payments, and draft chargeback responses with supporting evidence. Investigation time drops from days to hours.
PCI DSS, GDPR, CCPA, and SOC 2 are scoped in discovery and built into architecture before development. Compliance is not a QA checklist at the end.
Inquiries get confirmation or a structured alternative in seconds. For groups, intake-to-quote compresses to one pass.
Anomalies cross-referenced against folios, check-ins, and authorizations in real time. Chargeback responses generated in minutes with complete evidence.
Checkout events trigger immediate assignment. Room readiness reaches the front desk before the guest does.
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+1 408 365-4638
contact@folio3.ai
6701 Koll Center Parkway, #250 Pleasanton, CA 94566
