BEYOND THE BUZZ WORDS: THE REALITY OF GUEST FACING AI
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At Hostech, one question came up multiple times: should hospitality brands trust AI with direct guest interactions, or keep it strictly back of house? In this webinar, Guestwise will share insights on using AI live across guest channels, what is working, what isn't, and some of the challenges they have had to face head on.
It makes complete sense for operators to hesitate. The board is saying 'just get AI to do it'. The reality is much more involved and complicated and you need to know why in order to decide what to use. Front of house AI isn't only answering questions, it's representing your brand in public. Every tech supplier has or will shortly have an AI offering, which leads to the risk of a guest experience that doesn't join up or a guest experience that is a bit rubbish.
As specialists in hospitality tech and AI, Guestwise will share what they have learned and the requirements for building conversational guest facing AI that works.
Why attend?
If you're deciding where to deploy AI next, or trying to fix a disconnected set of systems, this session will help provide an operator-first framework. You'll get an honest view from the Guestwise team on integrating conversational AI without damaging your brand, fracturing your data, or frustrating your guests.
What you will learn
The live use-cases. A straight look at performance, wins and failures across channels that matter: WhatsApp, web chat, voicemail transcription, email enquiries, social DMs, likes and comments.
5 requirements for good guest-facing AI:
Deep knowledge base, both location-specific and brand-wide.
Clear operational guardrails for handling complex or sensitive conversations.
A consistent, authentic brand tone of voice.
Multi-source content ingestion, including your website, policies, and the context of each location (parking, dog friendly, private hire)
Integration with existing table booking systems and CRM
The real cost. What guest facing AI actually takes to build and maintain, and the hidden cost of a fragmented approach to AI
The silo trap. Why a stack of separate AI tools across multiple systems, using only one source of data, fragments the guest experience
WHO SHOULD ATTEND?
Tech and IT leaders building a unified digital infrastructure and aggregating data into one place
Operations and Guest Experience directors scaling guest touchpoints safely without losing the human touch.
Head of Marketing and Sales protecting brand voice and guest communication across social, web and email.
Founders, GMs and C-suite executives shaping their AI investment who want a realistic framework for success.