Customer experience AI agents for hotels & resorts

Know why guests book, stay, and return. Then act on it.

Perspective is the AI-native customer experience platform. AI agents talk to your guests, and get to the root cause. Every conversation is analyzed automatically, turned into a prioritized action, and routed to the team that owns it, across every property.

We call the result customer momentum.

Google
Stripe
GitHub
ElevenLabs
Mistral AI
Canva
Brex
Stanford
Columbia
Berkeley
Salesforce
Oracle
Walmart
HP
Medtronic
Motorola Solutions
CyberArk
JFrog
Redis
Wix
Teamwork
RBC
Payoneer
BASF
DXC Technology
Georgetown

An agent at every stage of the guest journey.

One platform across the whole stay, at every property, in every language, without adding staff.

The staylift return rate

Guest feedback, past the score

A conversation that adapts to each guest's actual stay: room type, service interactions, what went wrong and when, instead of a fixed form that treats every stay the same.

You rated the stay a 7. What would have made it a 9?

Try the Guest feedback, past the score agent
Recoverysave the guest

Service recovery

Reach guests after a bad experience while it still matters. Find where service broke down, fix the pattern rather than the ticket, and close the loop with the guest personally.

Where did it stop feeling like someone had it handled?

Try the Service recovery agent
Loyaltyknow what moves the score

NPS follow-up

A number and an optional text box tells you nothing you can act on. Follow every score with a conversation that uncovers why promoters recommend you and what would change a detractor's mind.

What would make you book with us again rather than the place next door?

Try the NPS follow-up agent
Lapsedrecover the guest

Why guests stop coming back

The guests who quietly book elsewhere next time almost never fill in the survey. Reach them, find the real reason, and identify which ones are still winnable.

You used to stay with us regularly. What changed?

Try the Why guests stop coming back agent
Always-onalways-on read

Voice of the guest

One continuous read across every property, so a regional pattern surfaces as a pattern instead of as forty separate complaint queues.

Is this the first time, or does it happen every visit?

Try the Voice of the guest agent

01 Discover · text or voice

The follow-up nobody has time to make.

A conversation follows the thread until it reaches the real reason, on brand and escalating rather than improvising. Across every property, not just the guests who leave a review.

~90% finish a conversation, vs. the ~15% who finish a survey. You hear from the whole base, not just the loud few.

GuestsymptomIt was fine. Nothing wrong exactly.
AI AgentWas there a moment where it fell short of what you expected?
Guestroot causeWe waited 40 minutes to check in after a red-eye. Room wasn't ready and nobody offered anywhere to sit.
The fix · shipped 10 days laterEarly-arrival lounge access at all airport properties.
Type
Talk

Introducing the Customer Momentum Loop

Every one of those runs the same loop.

Five use cases, one system. Each conversation feeds the next decision, so the understanding compounds instead of resetting with every season.

01 Discover
Ask after the stay
02 Understand
The moment it slipped
03 Decide
Fix the top driver
04 Release
Ship it, tell them
Guest feedback, past the score
lift return rate
01

Discover

Agents reach guests post-stay, after a service failure, or when they stop booking.

AI agents · chat or voice
02

Understand

Conversations become ranked themes by property, region, and brand.

Customer context · auto insights
03

Decide

One prioritized call on what to fix, brand-wide or at one location.

Action plans · routed to owners
04

Release

The fix ships, and the guests who raised it hear back.

Slack · Salesforce · PMS

Customer Momentum

Each turn of the loop closes a little more of the gap between what guests expect and what your properties actually deliver. That compounding alignment is what we call customer momentum.

What improves when the quiet majority answers.

↑ Return rate
Fix what the score hides
↑ Recovery
Save the guest, not the ticket
↓ Repeat issues
Patterns, not queues
↓ Time-to-fix
Days, not seasons
↓ Cost-to-serve
Fix patterns, not queues
= One view
Every property, one read

Pick a use case. Run it this week.

Start from a template, or we'll set it up across your own properties.