ΠΕΡΙΓΡΑΦΗ

This 20-hour training program equips organizations with the knowledge and tools to strategically integrate artificial intelligence (AI) across all enterprise functions. The program demonstrates how AI technologies can enhance efficiency, optimize workflows, and generate measurable business impact. Participants will explore practical applications of AI in areas such as finance, HR, customer service, and operations, gaining insights into how intelligent systems can drive enterprise-wide transformation. 

Through case studies, collaborative exercises, and scenario-based activities, participants will develop a comprehensive understanding of how AI can be embedded into core business processes to support innovation, agility, and sustainable growth. The program also examines governance, data management, and ethical considerations essential to responsible AI integration at the organizational level.

ΣΚΟΠΟΣ ΣΕΜΙΝΑΡΙΟΥ

Learning Outcomes

Knowledge Objectives:

1. Define the strategic role of AI-powered tools and differentiate them from traditional automation systems.

2. Describe how different types of AI-powered systems (reactive, goal-based, learning) are applied in enterprise scenarios.

3. Explain the core components of AI deployment, including data readiness, trigger mechanisms, and human oversight.

4. Identify where in the value chain AI systems can generate strategic business value.

5. Define performance indicators for assessing AI effectiveness at an enterprise level (e.g., ROI, efficiency gains, risk mitigation).

6. Discuss governance, ethics, and acceptable decision boundaries for autonomous systems.

7. Explain the difference between task-level automation and strategic orchestration of AI systems.

8. Recognize organizational responsibilities in selecting, scaling, and supervising AI platforms and tools.

9. Describe cultural and operational conditions that enable successful AI system adoption.

10. Explain the organizational role in managing AI-driven transformation and innovation.

Skills Objectives:

1. Implement innovation by distinguishing AI-powered systems from traditional automation systems to drive more adaptive and intelligent enterprise solutions.
2. Apply appropriate types of AI technologies (reactive, goal-based, learning) to relevant enterprise use cases.
3. Operationalize core conditions for AI deployment, including data readiness, triggers, and human oversight.
4. Create strategic opportunities within business functions where AI systems can create measurable value.
5. Evaluate AI system effectiveness using enterprise-level performance indicators such as ROI, efficiency, and decision support quality.
6. Develop internal governance guidelines for the responsible use of AI technologies based on ethical and operational constraints.
7. Plan automation strategies by distinguishing between task-level automation and orchestrated, enterprise-wide AI systems.
8. Monitor cross-functional teams in the evaluation and adoption of AI platforms aligned with business needs.
9. Facilitate organizational change by assessing culture and readiness factors critical to successful AI system transformation.
10. Develop internal processes for coordinating and scaling AI-enabled innovation across departments.

Attitude Objectives:

1. Adopt a strategic, opportunity-driven mindset toward intelligent automation.
2. Promote ethical, transparent, and human-centered AI deployment practices.
3. Encourage collaboration between teams, data stakeholders, and business units for AI system integration.
4. Encourage experimentation and continuous improvement in AI applications.
5. Demonstrate confidence in managing innovation through AI-enabled business models.

ΣΕ ΠΟΙΟΥΣ ΑΠΕΥΘΥΝΕΤΑΙ

• Senior Managers & Executives (CEO, COO, General Managers)
  Responsible for enterprise strategy, transformation, ROI, and organizational alignment across all functions.

• Digital Transformation Managers / Innovation Leads
  Directly involved in orchestrating AI adoption, coordinating cross-departmental initiatives, and scaling innovation.

• IT Managers & Enterprise Architects
  Oversee AI platforms, data readiness, system integration, and technical governance across the organization.

• HR Directors & People Analytics Managers
  Apply AI in talent management, workforce planning, performance analytics, and manage cultural change and ethics.

• Finance Directors, Controllers & FP&A Managers
  Use AI for forecasting, risk analysis, fraud detection, cost optimization, and ROI measurement of AI initiatives.

• Operations & Process Improvement Managers (Lean, Six Sigma, BPM)
  Focus on workflow optimization, intelligent automation, and performance improvement across operations.

• Compliance, Risk & Internal Audit Professionals
  Address AI governance, ethical boundaries, decision accountability, model risk, and regulatory compliance.

• Data & Analytics Leaders (Chief Data Officers, BI Managers)
  Responsible for data governance, quality, lifecycle management, and enabling AI-driven decision-making.

• Customer Experience & Service Managers
  Implement AI in customer support, personalization, sentiment analysis, and service automation.

• Strategy & Management Consultants / Business Advisors
  Support organizations in designing AI roadmaps, evaluating enterprise readiness, and guiding transformation programs.

ΠΕΡΙΣΣΟΤΕΡΕΣ ΠΛΗΡΟΦΟΡΙΕΣ

Why this seminar

In today’s rapidly evolving digital landscape, organizations must transition from isolated automation initiatives to enterprise-wide adoption of AI. Artificial intelligence enables organizations to analyze data, automate processes, and create adaptive systems that enhance productivity and competitiveness. This program addresses the increasing demand for comprehensive enterprise transformation through AI, with a focus on the strategic deployment of intelligent technologies across all departments and functions. It addresses operational challenges, governance mechanisms, and ethical frameworks necessary to ensure that AI systems deliver measurable and responsible value across the organization.

This programme includes:

• 14 hours in classroom (online) training
• Half-day private company consultation.
• Participants will receive a signed Certificate-of-Attendance issued by the Executive Education Center of the University of Limassol and bearing the approved logo of the Human Resource Development Agency of Cyprus (ΑνΑΔ).