Capability building
Pilot
This program grounds executive teams in generative AI for hotels, with hospitality-specific use cases, governance guidance, and facilitation-led working sessions.
Audience
Format
Duration
Category
§ 01Lab overview
This program grounds executive teams in generative AI for hotels.
Rather than treating AI as a trend presentation, the program combines guided facilitation, hospitality examples, and hands-on workflow mapping. Teams move from shared vocabulary into concrete pilot choices, governance patterns, and internal enablement actions. Five modules, run as a cohort or mixed and matched to a team's priorities.
Also available as a 2-day intensive for time-constrained cohorts.
§ 03Curriculum
5 modules · 16 lessons · 20 hours · 5 half-day workshops
Five half-day, hands-on workshops that take hotel teams from AI fundamentals through prompting, research, data analysis, and rapid prototyping — every session built on real hotel scenarios and producing usable outputs from day one.
Programme objectives
4 hours
Understand AI, set guardrails, enable adoption
§ 04Client perspective
“The program gave our leadership team a practical language for AI adoption instead of abstract hype.”
“We left with an agenda for pilots, governance, and team enablement that felt realistic for our business.”
§ 05Ready to talk?
The Horwath team can adapt the format, the cohort mix, and the working agenda around the decision you actually need to make. Tell us what you’re working through and we’ll come back with a brief.
Your team is already hearing about AI from every direction, but most of what they hear is hype. This workshop provides a grounded, hospitality-specific understanding of what AI can and can't do, where the real opportunities are, and how to adopt responsibly.
Learning objective
Develop shared understanding of AI capabilities in hospitality, governance frameworks, and adoption approaches.
Who it’s for
Leadership, department heads, all staff
You will learn to
What you take away
Large language models explained with hotel analogies, no maths required.
You leave with: A plain-language mental model of how AI works that you can explain to your own team.
Real vs overhyped AI applications with named hospitality case studies.
You leave with: A grounded read on which AI applications are delivering in hotels today — and which to ignore.
Classify your tasks (automate / augment / leave alone) and map AI opportunities across your property.
You leave with: An AI opportunity map of your own department, with every task classified automate / augment / leave alone.
Establish governance principles, risk guardrails, and a responsible adoption framework — plus where AI is heading.
You leave with: A governance principles checklist your property can adopt from day one.
4 hours
Communicate with AI effectively and consistently
The difference between useful AI output and wasted time comes down to how you communicate with it. This workshop teaches a structured prompting method that consistently produces high-quality results for real hotel tasks, from guest communications to operational analysis.
Learning objective
Construct structured prompts that consistently produce high-quality, usable outputs for daily hotel tasks.
Who it’s for
All staff
You will learn to
What you take away
Write a live prompt to a real guest complaint, then reveal the four-part operating brief and apply it to a task of your own.
You leave with: The four-part operating brief — Task · Context · Boundaries · Deliverable — applied to a task from your own week.
What to do when AI output misses the mark: the failure families, constraint design, and the draft–run–steer–bottle loop.
You leave with: The iteration discipline: name which of the four parts broke, and the move that fixes it.
The playbook system: bank the room's tasks, rank them, and bottle the first entry live.
You leave with: A started prompt playbook — Entry
4 hours
Smarter research, stronger institutional memory
Hotels depend on two forms of knowledge: reliable intelligence from outside the organisation and operational expertise held within it. AI can accelerate access to both — but only when teams know how to find the right evidence, verify what they receive, and ground AI in trusted hotel information. In this hands-on workshop, participants work in pairs to conduct AI-augmented research and build a working hotel knowledge assistant using accessible, off-the-shelf tools.
Learning objective
Use AI to conduct structured, evidence-backed research and create a document-grounded hotel knowledge assistant using accessible off-the-shelf tools.
Who it’s for
Management, strategy teams, operations leads, HR and training teams, and department heads responsible for research, organisational knowledge or operational decision-making.
You will learn to
What you take away
Scope → Gather → Curate → Synthesise → Verify → Deliver: a guided research assignment in pairs, turning a broad hotel question into a focused brief and a management-ready output — with every decision-critical claim verified against its evidence.
You leave with: A reusable research workflow, research-brief template, source-evaluation framework, claim-verification checklist and management-output structure.
Build and test a working knowledge assistant on a prepared hotel document store using no-code, off-the-shelf tools — then probe how it handles missing, conflicting and outdated information, and when a more advanced RAG solution is justified.
You leave with: First-hand experience building and testing a hotel knowledge assistant, plus a reusable document-store guide, assistant configuration template, testing checklist and RAG decision framework.
4 hours
Turn data into decisions faster
Every hotel sits on valuable data (occupancy trends, guest feedback, revenue patterns), but extracting insights usually means waiting for reports or wrestling with spreadsheets. This workshop unlocks self-service analysis for non-technical staff, turning data into decisions faster.
Learning objective
Use AI to query data in plain language, automate Excel tasks, and produce decision-ready narratives from hotel datasets.
Who it’s for
Revenue management, finance, operations, spreadsheet users
You will learn to
What you take away
File types AI can read, upload basics, PII discipline, and what to never put in a consumer-tier AI tool.
You leave with: A clear rulebook for what data can and can't go into which AI tools — PII discipline included.
Ask questions of your data in plain English, with a live demo on real hotel datasets.
You leave with: Query templates for your hotel's KPIs that you can reuse on every new dataset.
Automate formulas, pivot tables, and charts with AI assistance.
You leave with: An automated, AI-assisted version of your most repetitive Excel task.
Turn numbers into stakeholder-ready recommendations and build self-service workflows for your team.
You leave with: A data storytelling template that turns raw numbers into stakeholder-ready recommendations.
4 hours
Build working tools with AI, no coding required
Every hotel has operational frustrations that nobody has time to fix: manual processes, information gaps, repetitive tasks. This workshop shows how to turn those problems into working software prototypes using AI, without writing a single line of code.
Learning objective
Translate operational problems into specifications, direct AI to build prototypes, and evaluate feasibility.
Who it’s for
Operations managers, department heads, IT teams
You will learn to
What you take away
Define before you build. Translate operational problems into clear specs.
You leave with: A written specification for a real operational problem from your own property.
Hands-on. Direct AI to build a working prototype from your specification.
You leave with: A working prototype built live from your specification — without writing a line of code.
Evaluate feasibility, plan next steps, and know when to involve IT.
You leave with: A feasibility assessment and IT handoff checklist for taking your prototype further.
