Faster guest service, with every billable change approved.
Agents read reservations, weigh seating options, and set up guest requests — routing every billable change through its own approval and audit.
Control is the default here.
At the front desk, a request like “this guest wants a late checkout and a room-service order — set it up” becomes a plan card: a read-only reservation lookup, then a separate approval card for each billable change before anything is committed.
At the host stand, a reservation and waitlist assistant compares open slots, creates a booking as a low-risk create, and sends a guest notification through approval — so there’s no accidental spam.
General managers get property analytics — covers, average check, and revenue by daypart — from one plain-language question, scoped to their property and auditable.
Every action an agent takes here runs through the same gate: least-privilege permissions, policy and an audit trail, with the sensitive steps held for human approval. The controls behind it are set out on the security and data-handling page.
What it looks like in practice.
Illustrative examples of what a host would configure — tool ids and risk levels are the host’s to define. The primitives underneath are built and tested.
Front-desk guest request assistant
Two approval cards, one per billable change — late checkout and room service — before anything is committed to the reservation.
Reservation & waitlist assistant
A slot-option comparison, then an approved guest text; the booking is a low-risk create, the notification is approval-gated.
Covers & revenue report
Specialist agents return a daypart revenue table and a trend diagram from a single question — no BI seat.
SaaS & software vendors
Embed one web component, implement a five-method adapter, and your users get AI that respects your permissions and logs every action. For ABP.io / ASP.NET Zero apps, the adapter is a thin layer over what you already ship.
Industry · Professional servicesProfessional services & internal ops
Agents summarize and flag documents in scope, run self-serve IT and helpdesk actions under approval, and stitch a single view across multiple systems — all boundary-enforced and audited.
Industry · HealthcareHealthcare & health-tech
Embed agents that respect who can see and do what, ask for approval before sensitive actions, and record every decision — while the model works from minimized references, not raw records.
See governed AI for Hospitality & food service.
Book a demo and we’ll tailor the walkthrough to your sector — the governance model, the two-seam integration, and an example close to your systems.