Certificate Course

AI Strategy and Governance for Leaders

A Practical Two-Day Certificate Course for Responsible AI Adoption, Business Value, and Risk Control

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Format:

On-Campus or Live-Virtual

Language:

English

Date:

13-14 November 2026

Costs:

CHF 1'950.-

Location:

SBS Zurich Campus

Apply Now

AI Strategy and Governance for Leaders

A Practical Two-Day Certificate Course for Responsible AI Adoption, Business Value, and Risk Control

This two-day certificate course helps leaders, managers, and business practitioners move from AI experimentation to responsible AI adoption.

Participants learn how to identify high-value AI opportunities, assess risks, define governance structures, manage hallucination and data risks, oversee vendors, and build a practical AI strategy roadmap.

This course is designed for non-technical leaders who need to make informed decisions about AI. It does not train participants to become data scientists. It helps them become better AI decision-makers, sponsors, and governance leaders.

Course at a Glance

Duration: 2 Days
Format: SBS Zurich Campus or Live Virtual.
Final Deliverable: AI Strategy and Governance Toolkit
Award: SBS Executive Education Certificate upon successful completion.

What Will You Learn?

Participants will learn how to:

Identify and prioritize AI use cases based on business value, feasibility, risk, data readiness, and organizational readiness.
Design an AI governance model with clear roles, decision rights, approval processes, escalation paths, and accountability.
Assess AI risks, including hallucination, bias, privacy, security, intellectual property, explainability, vendor dependency, and regulatory exposure.
Create responsible AI controls, including human review, output verification, source checking, documentation, audit trails, and safe-use guidelines.
Build a practical AI strategy roadmap that connects AI initiatives to productivity, customer value, innovation, risk reduction, and measurable outcomes.
Lead AI adoption responsibly by building employee confidence, setting expectations, and balancing experimentation with governance.

Who Should Attend?

This course is designed for:

Executives and senior managers
Business unit leaders
Digital transformation leaders
Risk, compliance, legal, privacy, and audit professionals
HR, finance, operations, marketing, and customer service leaders
Product and innovation managers
Strategy and transformation teams
Consultants advising organizations on AI adoption

No technical or data science background is required.

Course Format

This intensive two-day certificate course is available On Campus in Zurich or Live Virtual.

The course combines faculty input, practical frameworks, interactive discussions, and applied exercises that help participants translate AI concepts into business action.

Participants work through real-world AI opportunities, governance challenges, and risk scenarios while developing practical tools they can use immediately within their organizations.

Why SBS Swiss Business School?

SBS Swiss Business School is a Swiss State-Accredited institution with a global reputation for business education and executive development.

Participants benefit from practical executive education, international faculty, real-world business frameworks, and a learning experience focused on immediate workplace application.

COURSE DETAILS

AI Strategy and Governance for Leaders

Certificate: Participants receive an SBS Executive Education Certificate upon successful completion.

Course Fee Includes: Course sessions, course materials, and the certificate.

Group Pricing: Available for organizations registering multiple participants. Please contact us for details.

Participants are responsible for arranging and covering their own travel, accommodation, and meals if they choose to attend the on-campus format in Zurich.

Classes starting	13 - 14 November 2026
Duration	2 days
Format / Location	SBS Zurich Campus or Live-Virtual
Costs	CHF 1'950.-

Day 1: AI Strategy, Opportunity, and Risk

From AI Hype to Business Value

Day 1 helps participants understand where AI creates value and where it creates risk. Leaders learn how to evaluate AI opportunities, prioritize use cases, and avoid common mistakes such as adopting AI without clear ownership, relying on unverified outputs, or investing in tools without a business case.

Session 1: AI for Leaders — What Matters and What Does Not

Focus Areas

Understanding AI's business potential and limitations
Generative AI, predictive AI, automation, analytics, and decision support
Business value creation through AI
Common AI risks and adoption failures
Aligning AI strategy with business strategy

Practical Output: AI Opportunity and Risk Map

Session 2: Prioritizing AI Use Cases

Focus Areas

Building an AI use-case inventory
Evaluating business value, feasibility, and risk
Quick wins versus strategic initiatives
Internal versus customer-facing applications
Deciding when to start, scale, pause, or reject an initiative

Practical Output: AI Use-Case Prioritization Matrix

Session 3: AI Risk Classification and Governance Requirements

Focus Areas

Risk-based AI governance
AI risk categories and governance levels
Human oversight models
Approval and escalation requirements
Governance requirements for different use cases

Practical Output: AI Risk Classification Matrix

Session 4: Never Trust Unverified AI Outputs

Focus Areas

Hallucinations and unreliable outputs
Source verification and evidence requirements
Human review and approval processes
Documentation and audit trails
Safe use of AI-generated content

Practical Output: AI Output Verification Checklist

Day 2: Governance, Operating Model, and AI Roadmap

Scaling AI Responsibly

Day 2 focuses on transforming AI ambition into a governed operating model. Participants learn how to establish accountability, manage AI risks, oversee vendors, support employee adoption, and build a practical roadmap for responsible AI implementation.

Session 5: Building the AI Governance Operating Model

Focus Areas

Governance principles and accountability
Roles, responsibilities, and oversight
AI policies and approval workflows
Documentation and incident management
Governance that supports innovation

Practical Output: AI Governance Operating Model Canvas

Session 6: AI Vendors, Tools, and Third-Party Risk

Focus Areas

Vendor due diligence
Data protection and confidentiality
Security and access controls
Intellectual property considerations
Vendor monitoring and dependency risk

Practical Output: AI Vendor Due Diligence Checklist

Session 7: Leading AI Adoption and Workforce Readiness

Focus Areas

AI adoption as a people and culture challenge
Building AI literacy
Workforce readiness and responsible use
Managing employee concerns and expectations
Encouraging critical thinking and safe experimentation

Practical Output: Team AI Readiness and Adoption Plan

Session 8: AI Strategy Roadmap and Leadership Action Plan

Focus Areas

Connecting AI initiatives to business goals
Defining success metrics
Building a responsible AI portfolio
Developing a 30-, 60-, and 90-day roadmap
Sustaining governance and reporting progress

Practical Output: 90-Day AI Strategy and Governance Roadmap

Final Course Deliverables

Each participant leaves with a practical AI Strategy and Governance Toolkit, including:

AI Opportunity and Risk Map
AI Use-Case Prioritization Matrix
AI Risk Classification Matrix
AI Output Verification Checklist
AI Governance Operating Model Canvas
AI Vendor Due Diligence Checklist
Team AI Readiness and Adoption Plan
90-Day AI Strategy and Governance Roadmap

Registration Fee: CHF 150 (part of the overall course fee). This fee is non-refundable if the participant cannot attend.

Refund Policy:

The course fee is invoiced 3 months prior to the course start.
100% refund if canceled 4 weeks or more before the course start.
30% refund if canceled 2 weeks before the course start.
No refund if canceled less than 2 weeks before the course start.