AI Agents by Niche for Hospitality & F&B
Booking and availability enquiries across WhatsApp, Instagram and phone with no single queue.
A niche AI agent is a conversational system built for one business and one outcome, grounded in that company's own data through retrieval, with defined escalation to a human. For a restaurant, hotel or hospitality group, the work is judged on a direct booking or cover — the one that does not pay an aggregator commission. One agent across channels, reading real availability and taking bookings.
What is costing you money today
Booking and availability enquiries across WhatsApp, Instagram and phone with no single queue.
Letting the aggregators own every booking, so the margin goes to commission and the customer list belongs to someone else.
What changes once this is in place
One agent across channels, reading real availability and taking bookings.
How hospitality & f&b actually buys
Immediate, local and phone-first, with discovery happening on maps and social rather than on a search engine results page.
- The unit of value
- a direct booking or cover — the one that does not pay an aggregator commission
- The common mistake
- Letting the aggregators own every booking, so the margin goes to commission and the customer list belongs to someone else.
- What we do instead
- Make direct booking faster than the aggregator's, and own the reservation data so the second visit costs nothing to acquire.
What it has to talk to
A build for a restaurant, hotel or hospitality group is mostly integration work. These are the systems we expect to exchange data with:
- Booking / reservation system
- POS
- Google Business Profile
- Aggregator listings
The words your buyers actually use
Generic service copy loses to copy written in the vocabulary of the vertical. These are the terms that carry intent here, and the ones the pages we build are structured around:
- book a table
- menu
- near me
- opening hours
- private dining
- banquet enquiry
The rules this sits under
Food licensing display (FSSAI in India), allergen information, and accuracy rules on menu pricing.
What you get
- Use case definition — The one job, the one metric, and what the agent is explicitly not for. Written down before anything is built.
- Knowledge base — Your documents, policies, prices and FAQs structured for retrieval — usually the largest and most valuable part of the work.
- System integration — Live access to calendar, inventory, order data or CRM, because an agent that cannot see real data can only generalise.
- Conversation design — Opening, qualification path, objection handling and the handover, written by someone who has read your real conversations.
- Guardrails — Topic boundaries, approved copy for regulated statements, and a refusal behaviour that is graceful rather than blank.
- Escalation — Confidence, sentiment and explicit-request triggers, with the conversation handed over in full to a person.
- Evaluation set — Real conversations with expected outcomes, run against every change before it ships.
- Analytics — The business metric, plus a report of what the agent could not answer — which is the most useful output of the whole system.