An Intensive 5-day Training Course
Agentic AI & Building Smart Leadership Solutions
Empowering Leaders to Design, Govern & Implement Intelligent AI Solutions
CLASSROOM DATES
INTRODUCTION
This highly practical and interactive EuroMaTech training course introduces participants to the emerging world of Agentic AI and its potential to transform leadership, decision-making and organisational performance. It explores how intelligent AI agents can observe business environments, analyse information, make recommendations, execute defined actions and escalate complex situations to the appropriate specialists when human judgement is required.
Moving beyond the traditional use of AI tools, this Agentic AI training course focuses on how leaders can identify opportunities to build intelligent systems that work alongside their teams, automate routine activities, improve operational efficiency and support better business outcomes. Participants will explore real-world applications of Agentic AI across business functions without getting lost in technical or coding detail.
Participants attending the Agentic AI & Building Smart Leadership Solutions training course will develop the following competencies:
- Understanding the fundamentals of Agentic AI and its distinction from traditional AI tools and automation
- Identifying opportunities to apply intelligent agents to leadership challenges and business processes
- Evaluating how AI agents observe, analyse, decide and act within defined business boundaries
- Designing practical agent-based solutions that support decision-making and organisational productivity
- Establishing appropriate governance, human oversight, security and risk management measures
- Developing an actionable roadmap for introducing Agentic AI solutions within their organisations
TRAINING OBJECTIVES
PROGRAMME OBJECTIVES
This Agentic AI & Building Smart Leadership Solutions training course aims to enable participants to achieve the following objectives:
- Understand the core concepts, capabilities and business value of Agentic AI
- Distinguish between traditional AI assistants, workflow automation and autonomous AI agents
- Recognise high-value opportunities for applying Agentic AI across organisational functions
- Design intelligent agents around business needs, objectives and desired outcomes
- Understand how AI agents monitor information, analyse situations, recommend decisions and execute actions
- Determine when human approval, specialist intervention or escalation is required
- Assess the risks, limitations and governance requirements associated with AI agents
- Develop a practical implementation roadmap for building smart leadership solutions using Agentic AI
WHO SHOULD ATTEND?
This training course is suitable for leaders, executives, department heads, managers and decision-makers who want to understand how Agentic AI can improve business performance and support smarter leadership. It will also benefit digital transformation leaders, innovation managers, business process owners, strategy professionals and project managers responsible for identifying and implementing AI-driven solutions.
No previous coding or advanced technical knowledge is required.
TRAINING METHODOLOGY
The Agentic AI & Building Smart Leadership Solutions training course will combine expert-led presentations with interactive discussions, practical exercises, business case studies and group activities. Participants will explore real-world examples of AI agents in action, assess potential applications within their organisations and work through practical scenarios involving automated decisions, human oversight and exception handling.
The course will emphasise business value rather than technical complexity, enabling participants to develop conceptual agent designs, assess implementation opportunities and formulate practical action plans. Demonstrations of accessible AI tools and agent-building platforms may be incorporated to illustrate how intelligent solutions can be developed and applied in business environments.
TRAINING OUTLINE
Day 1: Agentic AI Fundamentals and the Evolution of Intelligent Systems
- Introduction to Artificial Intelligence and the evolution towards Agentic AI
- Understanding AI assistants, traditional automation and intelligent agents
- Key characteristics, capabilities and limitations of AI agents
- How intelligent agents observe, analyse, decide and act
- Core components of an AI agent: goals, instructions, tools, memory and context
- Understanding single-agent and multi-agent systems
- Business applications of Agentic AI across organisational functions
- Case study: Identifying opportunities to introduce intelligent agents into everyday business operations
Day 2: Identifying Business Opportunities and Designing AI Agents
- Identifying business challenges suitable for Agentic AI solutions
- Mapping business processes and identifying automation opportunities
- Translating leadership objectives into measurable AI agent outcomes
- Defining agent roles, responsibilities, instructions and operational boundaries
- Designing agent workflows, tasks, decision rules and escalation paths
- Understanding context, knowledge sources and enterprise data integration
- Evaluating AI agent use cases based on business value, feasibility and risk
- Practical exercise: Designing an AI agent concept to address an organisational challenge
Day 3: Building Intelligent Workflows and Smart Leadership Solutions
- Understanding the architecture of an intelligent agent solution
- Introduction to AI agent-building platforms and low-code approaches
- Connecting AI agents with business applications, knowledge sources and productivity tools
- Using AI agents for research, information analysis, reporting and task coordination
- Automating multi-step business workflows using intelligent agents
- Coordinating multiple agents to support complex business processes
- Designing human-in-the-loop approvals and specialist escalation mechanisms
- Practical exercise: Developing a conceptual agent workflow for a leadership or departmental use case
Day 4: Responsible Agentic AI, Governance and Performance Management
- Understanding the risks and limitations of autonomous AI decision-making
- Responsible AI principles: transparency, fairness, accountability and reliability
- Managing data privacy, information security and access permissions
- Preventing incorrect outputs, unintended actions and excessive agent autonomy
- Establishing human oversight, approval controls and escalation procedures
- Defining governance policies and accountability for AI agent operations
- Measuring AI agent effectiveness through KPIs, productivity and business outcomes
- Case study: Evaluating an AI agent implementation and developing appropriate governance controls
Day 5: Implementation Strategy, Change Management and the Future of Agentic AI
- Assessing organisational readiness for Agentic AI adoption
- Prioritising AI agent opportunities through value, feasibility and risk assessment
- Developing pilot projects, implementation milestones and success criteria
- Integrating AI agents into existing processes, systems and team responsibilities
- Leading organisational change and building employee confidence in AI collaboration
- Scaling successful agent solutions while maintaining governance and human oversight
- Exploring emerging trends in Agentic AI and their implications for leadership
- Group exercise: Presenting an Agentic AI solution, business case and implementation roadmap
CALL ME BACK
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ACCREDITATION
EuroMaTech is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: www.NASBARegistry.org.
FAQ
We are happy to share the profiles of our expert instructors. To learn more about their qualifications and experience, please contact us info@euromatech.com
We provide flexible training formats to suit your preferences:
- Classroom Training: Experience in-person learning with expert instructors. Engage in interactive discussions, hands-on activities, and benefit from face-to-face networking.
- Online Training: Join live online sessions from anywhere, offering flexibility for those with busy schedules or who prefer remote learning.
- In-House Training: We can bring our training directly to your organization, allowing for tailored sessions that address your specific needs and objectives.
Yes, we provide tailored training solutions designed to meet the specific needs of your organization. Customized courses can be delivered either in-person or online, and you can select the dates and duration that best fit your schedule. For more details, please contact us at inhouse@euromatech.com
Yes, we can assist you with the following:
- Corporate Discount: If available, we can extend our corporate discount for your stay at selected hotels.
- Hotel Suggestions: We can provide recommendations for nearby hotels based on your preferences and budget.
Feel free to explore online booking platforms for the most cost-effective options.
