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SendSquared

AI Context

60% of the day is spent hunting for context

Your team already knows the guest. The problem is that the knowledge is scattered across six systems, four channels, and one person who is off today. Work sprawl is what it costs you, and it is the reason your AI still sounds like a stranger.

One guest recordEvery channelShared with your AINo swivel-chair

Work sprawl is killing context

One guest. One stay. And a thread that gets knotted three separate times before anyone can answer a simple question.

App Sprawl

Kills collaboration

Your PMS, the booking engine, an OTA extranet, a VIP spreadsheet, and a shared mailbox. Six systems that never agree on who the guest is.

Channel Sprawl

Kills response time

A guest texts, emails, messages through Airbnb, then calls. Four threads, four agents, and nobody sees the other three.

Context Sprawl

Kills the guest experience

The answer existed. It was in someone else’s inbox, on a sticky note, or in a call that was never logged.

Source: Asana, Anatomy of Work Index. Share of the workday spent on coordination rather than skilled work.

Everything you need in one context layer

Every feature writes to the same guest record, so humans and AI are never working from different versions of the truth.

SendSquared
Unified Inbox
Guest CRM
AI Voice
Automations
Reservation sync
Lifetime value
Segments
Email campaigns
SMS
WhatsApp
Airbnb messaging
Vrbo
Surveys
Guidebooks
Guest WiFi
Call tracking
Voicemail
Lead management
Website forms
Website chat
Google Travel
Direct bookings
Gap night fill
Guest loyalty
Revenue recovery
Owner acquisition
Owner reports
Tasks
Reporting
Dashboards
Attribution
Templates
Saved replies
Postcards
Mobile app
Verification
Guest timeline
Audit log
Tags
Custom fields
Roles & SSO
Integrations
MCP server
Connected search

How it works

Context is built once, then reused everywhere

Consolidation is not a migration project. It is what happens automatically once every channel writes to the same record.

1

Everything lands in one record

Reservations from your PMS, inquiries from the OTAs, calls, texts, emails, survey replies, and WiFi sign-ins all attach to the same guest. No exports, no matching by hand.

2

The timeline never resets

Every touch stays on the guest timeline: what was asked, what was promised, who said it, and on which channel. The context outlives the shift and the staff turnover.

3

Your AI works from the same record

Because the context is one place, AI Voice, reply drafting, and any LLM you connect over MCP answer from real reservation history instead of guessing.

1

Guest record across every system

9+

Channels folded into one inbox

24/7

AI coverage on calls and messages

0

Spreadsheets required

AI Context, answered

What does "AI context" actually mean?

Context is everything your AI needs to know before it answers: who the guest is, how many times they have stayed, what they paid, what they asked for last time, what your team already promised them, and which property they are arriving at. An AI without that context can write fluent sentences, but it cannot write the right sentence.

Why can’t I just point ChatGPT at my PMS?

A PMS holds the reservation, not the relationship. It rarely holds the Airbnb message thread, the phone call where you agreed to a late checkout, the survey score from the last stay, or the email campaign the guest clicked. Point an LLM at the PMS alone and it answers confidently from a quarter of the picture.

Is this a replacement for my PMS?

No. SendSquared sits alongside it. We sync with Barefoot, Escapia, Streamline, Guesty, RDP, and others, then layer the guest communication, marketing, and AI context your PMS was never built to hold.

How long does it take to consolidate context?

Historical reservation and guest data imports during onboarding, so the timeline is populated from day one rather than starting empty. Channel connections (SMS, email, OTA inboxes, voice) are configured during the same implementation.

Can our own AI tools use this context?

Yes. SendSquared runs a Model Context Protocol server, so Claude, ChatGPT, or a custom agent can query the same guest records your team sees, with tenant-scoped tokens and a full audit trail. See External AI Agents.

What happens to context when staff turn over?

It stays. The guest timeline, notes, promises, and call recordings live on the record rather than in an individual inbox, so a new hire on their first shift sees the same history a ten-year veteran does.

Give your team (and your AI) the whole picture

See what your guest record looks like when every channel, call, and campaign lands in one place.

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