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    Deep-Dive Workshop: Applied AI for Executives
    University of St. Gallen

    Deep-Dive Workshop: Applied AI for Executives

    University of St. Gallen, St. Gallen
    HomeData & AIUniversity of St. GallenDeep-Dive Workshop: Applied AI for Executives
    3 daysDuration
    in-personFormat
    EnglishLanguage
    Data & AITopic

    Next Available Cohort

    Choose your preferred start date

    Sep 7 - Sep 9, 2026
    3 days · in-person · Instructor-Led · Main Campus
    Open
    $3,297

    All-inclusive program fee

    About This Program

    Artificial Intelligence generates sustainable value only when strategy, data, organizational design and leadership are aligned. Real-world examples from Big Tech and leading mid-sized companies highlight the key success factors. In this hands-on deep dive, executives move beyond glossy promises and abstract theory to explore practical, implemented AI use cases drawn from companies across industries and sizes. You will also work on your own business challenges, identify high-value use cases, and develop actionable concepts you can bring back to your organization immediately. This workshop is designed for leaders who want to understand AI not as a buzzword, but as a strategic tool that creates measurable value. Participants will learn to identify real pain points - where AI can create measurable value across their business; prioritize use cases with a structured framework balancing impact, feasibility, data readiness, and risk; build strong business cases quantifying benefits, costs, ROI, and success metrics with executive-level rigor; pitch their concept using a clear, compelling narrative; define the technical approach including enterprise architecture, data requirements, model types, and integration needs; and design the adoption strategy preparing the organization for change through training, workflows, communication, and governance. Please note that the number of participants is limited.

    Why University of St. Gallen?

    HSG's executive programs are built around a single architectural idea: context-integrated learning, where economics, law, social sciences, and management are taught as a unified system rather than separate disciplines. That interdisciplinary structure, embedded in the school since its founding, produces graduates who reason across functions in a way that single-discipline business schools rarely match. For senior professionals who need to think across organizational silos, that is a concrete structural advantage.

    Your Profile

    • Executives and senior managers shaping digital and AI strategy.
    • Leaders looking to turn AI potential into concrete business impact.
    • Decision-makers seeking a structured, business-focused approach to AI.
    • Teams responsible for innovation, operations, or transformation initiatives.

    Benefits

    • Identify where AI creates measurable value and prioritize use cases with a structured impact-feasibility framework.
    • Build board-ready business cases for AI projects, including ROI, success metrics, and risk assessment.
    • Define the technical approach for AI deployment - architecture, data requirements, and model selection.
    • Design an organizational adoption strategy covering training, workflows, and governance.

    What You'll Learn

    • Identify real pain points: understand where AI can create measurable value across your business.
    • Prioritize use cases: apply a structured framework balancing impact, feasibility, data readiness, and risk.
    • Build strong business cases: quantify benefits, costs, ROI, and success metrics with executive-level rigor.
    • Pitch your concept: present and refine your business case using a clear, compelling narrative.
    • Define the technical approach: develop enterprise architecture and define data requirements, model types, and integration needs.
    • Design the adoption strategy: prepare your organization for change - training, workflows, communication, and governance.

    Frequently Asked Questions

    How to Apply

    1. 1

      Check your eligibility

      Review the entry requirements listed on this page. Most executive programs require 8–15 years of professional experience.

    2. 2

      Compare programs

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    3. 3

      Contact the school

      Send a message directly to University of St. Gallen via Gradia to request a brochure or speak with an admissions advisor.

    4. 4

      Prepare your application

      Gather your CV, reference letters, and any required test scores. Many EMBA programs waive standardised tests for senior candidates.

    5. 5

      Submit your application

      Apply directly through University of St. Gallen's official application portal.

      Apply now →