Written team rules
The session ends with escalation, approval and tone rules recorded in plain language rather than held in one manager's head.
Build confidence around the work hotel teams actually do—from audience and offer decisions to website content, guest communication and AI review.
Training for hotels should turn broad marketing or AI ideas into repeatable team workflows. Sessions use the property’s real journey, approved data and current tools to define practical tasks, review rules, templates and an improvement plan.
Every module or service needs a defined guest outcome, hotel owner and review signal.
The session ends with escalation, approval and tone rules recorded in plain language rather than held in one manager's head.
Each workflow covered leaves with an owner, a first task and a date when the work will be checked.
A follow-up session reviews completed work and unresolved questions before access or scope is widened.

Build confidence around the work hotel teams actually do—from audience and offer decisions to website content, guest communication and AI review.
Each capability is tied to a real guest decision, hotel owner and visible next action.
Map the hotel journey, goals, team roles and tool constraints.
Work through hotel-specific communication, content and decision scenarios.
Define what can be assisted, what requires review and what remains human.
Create briefs, prompts, checks and operating notes the team can reuse.
Translate the session into owners, priorities and review dates.
Assess adoption, questions and evidence before expanding the workflow.
A shared sequence makes ownership and handover easier to inspect.
We review your current pages, tools, guest questions and approval habits first.
The team works through its own examples and writes the rules it will use.
Each person runs one agreed workflow for a fixed period.
A follow-up session checks the work produced and what to change next.
Use these checks to compare options, document ownership and avoid a disconnected implementation.
Use the team’s actual pages, guest questions, reports and approval rules rather than abstract software demonstrations.
Document what AI may prepare, what staff must approve and which decisions should never be delegated.
Review examples of completed work, unresolved questions and workflow evidence before expanding access or scope.
Training defines the rules, owners and templates a hotel team will work to; the simulation platform is where individuals practise decisions afterwards.
Sessions teach the workflow and the settings a team will own; connecting, configuring and testing a live module is separate implementation work.
Clear scope matters more than broad promises.
Bring the people who do the work: whoever answers guest messages, whoever approves marketing content and whoever plans the day. Small mixed groups work better than a full-property briefing, because the rules written in the room have to be agreed by the people who will follow them.
It depends on how many workflows are in scope and how much is already documented. A common shape is a short preparation review, one working session per topic, and a follow-up a few weeks later once the team has used the workflow in practice. Timings are agreed after the preparation review rather than fixed in advance.
Usually yes, because configuration and habit are different problems. Training decides who approves what, how exceptions are escalated and what happens when an answer turns out to be wrong. The sessions are not implementation work; connecting, configuring and testing modules is scoped separately.
No. Hotel Tech AI is not a property management system and does not train staff on your PMS, channel manager or rate tools; those remain with the vendors who supply them. Training covers the guest-journey and direct-channel workflows around them, including where each one hands over to the systems you already run.
Sessions are led by Vitalij Kolotikov, founder of the HexaTech technology group and CEO of FDS Cards, through Hexa Academy. He has over 20 years in business and more than 9 years lecturing, and has written two books on AI-driven marketing that are held in university libraries including King's College London, the LSE and the Sorbonne. Training runs online, one to one, in small groups of up to five, or on site at the property, so hotels outside the UK are taught remotely.
Map the guest decision, current systems, team owner and smallest useful next step.