Executive Programs · Executive Program

AI-Driven Hospitality Transformation · Executive Program

Lead the technological and digital transformation of your hospitality business – with strategy, numbers and a working roadmap, not hype.

9 modules28 lessons32 hours10 weeks, self-paced
Enrol nowFree preview: What AI actually changes in hospitality

Who it is for

Artificial intelligence has stopped being a topic for conferences and become a line item in the operating plan of restaurants, hotels and hospitality groups. Reservation platforms predict no-shows, point-of-sale systems classify every dish by margin, generative models write the first draft of the newsletter, and AI assistants in search engines and chat apps have started to send – or withhold – bookings. The question for an owner or a general manager is no longer whether AI will touch the business, but who will decide how.[oi],[aimode],[chatgpt-apps]

This program is built on Luca Colucci’s book Ospitalità Intelligente, whose central thesis runs through every module: AI in hospitality does not replace the human element, it amplifies it – provided it is adopted with clear goals, in measured steps, with data treated as a strategic asset and the guest kept at the centre. Around that thesis we add what an executive needs in 2026: the EU AI Act and GDPR obligations that apply to a hospitality operator, the rise of AI agents that book on behalf of guests, and the hard lessons of public pilots that did not scale.[oi],[aiact],[gdpr],[mcd-ibm]

It is written for owners, general managers, F&B and operations directors, revenue and marketing leads, and hospitality entrepreneurs who must make investment decisions and lead teams through change. No coding is required. Each module ends with a case, an exercise that produces a real deliverable for your own business, a checklist and a downloadable template; together they build up the AI transformation plan you submit as your final project.

Who it is for

  • Owners and partners of independent restaurants, bars, cafés, boutique hotels and hospitality groups
  • General managers, F&B, operations and revenue managers responsible for results and teams
  • Marketing, guest-experience and digital leads in hospitality companies
  • Entrepreneurs and consultants designing new AI-enabled hospitality concepts

Problems it solves

  • Too many AI tools and vendor promises, no method to choose and prioritise
  • Thin margins: food cost, labour cost and waste eat profits that better forecasting could protect
  • Guest data scattered across booking platforms, POS, reviews and staff memory
  • Uncertainty about what the EU AI Act, GDPR and Italian law actually require
  • Teams that fear or resist technology, and pilots that never become routine
  • New AI intermediaries (search and chat assistants) changing how guests discover and book

Competencies you build

Competencies you build

  • AI literacy for hospitality leaders: capabilities, limits and failure modes
  • Data-driven decision-making and customer intelligence
  • Menu engineering, revenue management and cost control supported by AI
  • Operational efficiency: forecasting, scheduling and intelligent automation
  • Design of personalised, privacy-respecting guest journeys
  • Generative AI for content and marketing automation with brand control
  • Specification and governance of chatbots and AI agents
  • AI governance and compliance (EU AI Act, GDPR, Italian Law 132/2025)
  • AI strategy: readiness assessment, use-case prioritisation, ROI and roadmap

Outcomes

  • A completed AI readiness assessment and data inventory for your business
  • A prioritised portfolio of use cases scored on value, feasibility and risk
  • An ROI model and business case for your first two initiatives
  • An AI governance checklist and AI-use register aligned with EU rules
  • A 12-month implementation roadmap with KPIs, owners and change plan

Learning objectives

  • Explain, in business terms, what current AI (predictive, generative and agentic) can and cannot do in hospitality operations
  • Diagnose the data you already own and design a customer-intelligence model that is useful and lawful
  • Apply AI-supported menu engineering, revenue management and cost analytics to protect margins
  • Decide which operational tasks to automate, which to augment and which to keep human
  • Design a personalised digital guest journey and a loyalty logic based on relationship, not discounts
  • Set up a generative-AI content workflow and marketing automation that respect brand voice and transparency duties
  • Specify a guest-facing assistant or agent with scope, knowledge base, human handoff and liability controls
  • Map your obligations under the EU AI Act, GDPR and Italian Law 132/2025, and install a proportionate governance routine
  • Build a readiness assessment, prioritisation matrix, ROI model and 12-month roadmap for your own business

Modules

  1. The AI-driven hospitality paradigm

    What AI really changes in hospitality, why adoption stalls, and the leadership principles that keep technology in service of the guest.

  2. Data-driven decisions and customer intelligence

    Turn the data your business already generates into decisions: data sources, levels of analytical maturity, interpretation traps and a lawful customer-intelligence model.

    • The data you already own16 min
    • Three levels of data-driven transformation – and the traps17 min
    • Customer intelligence: knowing the guest before the door opens18 min

  3. Revenue, menu and cost intelligence

    Use AI-supported menu engineering, revenue management and predictive inventory to protect margins without betraying guests or identity.

    • Menu engineering, augmented18 min
    • Revenue management and dynamic pricing that guests accept19 min
    • Predictive inventory, food cost and waste19 min

  4. Operational efficiency and intelligent automation

    From demand forecasting to rota, kitchen automation and workflow integration: decide what to automate, what to augment and what to keep human.

    • From demand forecast to the perfect rota18 min
    • Kitchen and back-of-house automation: what to automate18 min
    • Connecting systems: integration and workflow automation17 min

  5. Personalised experience and the digital guest journey

    Design a guest journey in which AI equips people to recognise, anticipate and delight – and a loyalty logic built on relationship rather than discounts.

    • Mapping the digital guest journey17 min
    • Augmented relationships: AI that equips the team18 min
    • Intelligent loyalty and relational marketing18 min

  6. Generative AI for content, brand and marketing automation

    Build a generative-AI content engine that keeps your brand voice, scales marketing automation and reputation management, and respects transparency and truthfulness.

    • A generative-AI content engine with a brand voice18 min
    • Marketing automation, social media and reputation18 min
    • Truth, disclosure and rights: the rules of generated content16 min

  7. Conversational AI and AI agents

    From FAQ chatbots to agents that act: how to scope, build and govern guest-facing assistants, and how agentic distribution changes the booking relationship.

    • From chatbots to agents: capabilities and limits17 min
    • Designing a guest assistant you can trust19 min
    • Agentic distribution: when AI books for the guest18 min

  8. Ethics, data protection and AI governance

    Privacy and consent, the EU AI Act and Italian Law 132/2025, algorithmic fairness, human oversight and social impact – turned into a proportionate governance routine.

    • Privacy, consent and trust as a competitive advantage18 min
    • The EU AI Act and Italian Law 132/2025 for hospitality operators20 min
    • Fairness, human oversight and social impact18 min

  9. AI strategy, business models and implementation

    From readiness assessment and use-case prioritisation to ROI, vendor choice, roadmap, change management – and the AI-powered business models that may redefine hospitality.

    • Readiness assessment and use-case prioritisation19 min
    • Business case, ROI and vendor selection19 min
    • Roadmap, change management and measurement19 min
    • AI-powered business models and the horizon18 min

What is included

  • Video-free, reading-first lessons you can follow at your own pace
  • A case study, an exercise and a checklist in every module
  • Downloadable templates for your own work
  • Server-graded quizzes at the end of each module
  • A final project with a rubric
  • A Certificate of Completion issued by Luca Colucci

Time required

About 32 hours over 10 weeks, self-paced.

Access

Online and self-paced. Lessons, case studies, exercises, quizzes and Markdown templates are available in your account for the duration of your access period.

Completion and certificate

Complete all lessons, pass each module quiz (at least 70%), and submit the final project – an AI transformation plan for a real or realistic hospitality business – assessed against the published rubric. Estimated study time: about 32 hours over 10 weeks, of which about 8 hours of lessons; the rest is case studies, exercises, quizzes and the final project.

Certificate of Completion issued by Luca Colucci. It attests completion of the program; it is not an academic degree or an official professional qualification and carries no university accreditation.

The Certificate of Completion is issued by Luca Colucci. It is not an academic qualification and is not accredited by a university or a public body.

Price

€790€990

Launch price · until February 1, 2027

Members save 10% (Entry) or 15% (Pro), applied automatically at checkout.

Bundle of the three programs

€1,790€2,190

Launch price · until February 1, 2027

Members save 10% (Entry) or 15% (Pro), applied automatically at checkout.

The Certificate of Completion is issued by Luca Colucci. It is not an academic qualification and is not accredited by a university or a public body.

The book behind the program

Amazon · Luca Colucci ↗

Membership

Executive Programs are sold separately: they are not part of the Entry or Pro membership. Members get a discount.

What each level includes →

Sources