Services

Four operations verticals. One shared architecture.

AnswerBnB is not four separate products. It is one context, knowledge, and AI decision architecture applied to four kinds of businesses that all share the same underlying need: answer accurately, act only when authorized, and escalate the rest.

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Available today

AI Property Operations

Guest communication that knows which property, which reservation, and which guest it is talking to, before it says a word.

The problem

  • Hosts field the same questions across every property, every day
  • Generic chatbots don't know which listing a guest is even asking about
  • A wrong answer about check-in time or house rules costs real trust

How AnswerBnB approaches it

  • Every conversation resolves to a real organization, property, guest, and reservation
  • Answers are grounded in that property's own knowledge — nothing shared across listings
  • Low confidence or an out-of-scope request hands off to a human with full context
Workflow stages

Before, during, and after the stay

  1. Before the stay

    Pre-arrival

    Check-in detailsMissing-information detectionReminders
  2. While guests are in the property

    During the stay

    Guest questionsIssues and maintenance requestsEscalation to your team
  3. After check-out

    Post-stay

    Check-out informationFeedbackFollow-up
Example questions

The messages that fill a host's inbox

“Can I check in early?” is classified and routed by rule, not guessed. A maintenance report is logged as a real work item, not lost in a chat log.

What time is check-in?Is there parking?What's the Wi-Fi password?Can I check in early?
Maya R.
Lakeside Cabin · Arrives tomorrow · 3 nights
via your PMS inbox
Hi! What time can we check in tomorrow, and where do we park?
Tue 4:12 PM · Illustrative conversation with an invented guest and property
Works with your systems

Plugs into the property management system you run

Connectors for 17 of the 20 property management systems AnswerBnB tracks. Hospitable is verified end to end with a real account; every other provider is labelled with exactly where it stands.

See every integration and its status →

Planned verticals

The same core, applied to more industries

These three are architecture and design work, not shipped products. Open any one to read its intended workflow, and what it does not yet claim.

Planned

AI Commerce Operations

Product, order, and customer questions answered from real store data, not a generic storefront FAQ.

Read the workflow

Problem

  • Pre- and post-purchase questions overwhelm small commerce teams
  • Product specs, compatibility, and policy answers need to be exact, not approximate
  • A missing or damaged order needs the right order record, not a generic reply

Workflow

  • Store → product → inventory → customer → order → conversation → AI → answer/action/escalation
  • Product questions, specifications, compatibility, availability, shipping, returns, refunds, exchanges
  • Missing or damaged order support, post-purchase support, proactive updates

Designed to connect with ecommerce platforms such as Shopify, WooCommerce, and BigCommerce. No connector exists yet.

ShopifyWooCommerceBigCommerce
Planned

AI Customer Support Operations

A support layer that identifies the customer and the intent before it retrieves anything, then answers, clarifies, or escalates.

Read the workflow

Decision chain

  • Identify customer → identify intent → identify relevant context
  • Retrieve knowledge → evaluate evidence → determine confidence
  • Answer, act, clarify, or escalate — never guess

Channels

  • Web chat and email — the channels the current architecture is built around
  • WhatsApp, SMS, Messenger, Instagram, and voice are on the roadmap, not live today

Positioned as an AI operations layer that can sit around existing systems rather than requiring replacement. No connector exists yet.

Salesforce Service CloudZendeskIntercomFreshdeskHubSpot
Planned

AI ISP & NOC (Network Operations Center) Operations

Outage reports, speed complaints, and device troubleshooting resolved with real service and incident context, not a scripted flow.

Read the workflow

Workflow

  • Customer → service → circuit/account → device → network → incident → conversation → AI → action/ticket/escalation
  • Outage reports, slow-speed complaints, device troubleshooting, billing questions
  • Incident classification, technician escalation, resolution documentation

What this does not claim

  • No direct network monitoring is implemented today
  • No native connector to any NMS, OSS/BSS, or RADIUS platform exists yet
  • The architecture (adapters, incident context, conversation model) is built to support this vertical

Ecosystem: Splynx, Sonar, UISP, MikroTik, RADIUS, SNMP and similar systems. No connector exists yet.

SplynxSonarUISPMikroTikRADIUSSNMP
One core, more than one industry

Made for short-term rentals first. Designed for more.

Only the property vertical is available today; the others are labelled as planned.

Available

AI Property Management

Guest messaging for short-term rental operators, connected to your PMS, answered from each property's own knowledge.

Planned

AI Customer Support

The same context, knowledge, and escalation core applied to help-desk conversations. The architecture is in place; no help-desk connector exists yet.

Planned

Ecommerce Customer AI

Order and product questions answered from store data. The architecture is in place; no store connector exists yet.

Planned

ISP / WISP Customer AI

Subscriber questions and outage context for network operators. The architecture is in place; no network-system connector exists yet.

Put your guest messages in good hands

Create an account, connect your PMS, and test answers on your own property before AI replies to a single guest.

Create your account →Talk to AnswerBnB