Driving Business Impact with AI Agents for Enterprise – Advanced Track
This one-day advanced training course equips participants with a comprehensive understanding of Enterprise AI Agents—focusing on how to strategically deploy, scale, and govern them across real-world enterprise systems. Participants explore what powers AI Agents under the hood, how they integrate across systems, and how they can be governed without limiting innovation. The day concludes with a blueprint design lab that enables participants to collaboratively develop high-impact deployment plans tailored to real business contexts.
Targeted to business professionals, digital transformation leaders, product managers, and innovation teams, this course bridges the strategic gap between AI potential and enterprise execution—without requiring a technical background.
Content
- Strategic Role of AI Agents in Enterprise Transformation: Why enterprises are investing in agents now and how they enable speed, scale, and autonomy.
- Demystifying Underlying Technologies for Business Leaders: How LLMs, tools, and orchestration layers work in business contexts—without technical jargon.
- Integration Frameworks and Cross-System Orchestration: How agents connect to ERPs, CRMs, workflows, and IT environments through low-code and APIs.
- Change Management Strategies for AI Agent Adoption: Practical techniques to drive cultural alignment, employee enablement, and leadership support.
- Enterprise Governance and Regulatory Readiness: Managing ethical, legal, and operational risks while scaling responsibly.
- Choosing the Right AI Agent Strategy and Vendor Landscape: Evaluating tools, platforms, and build/buy strategies for enterprise readiness.
- Capstone Workshop: Blueprint Lab for Enterprise AI Agent Rollout: Collaborative design of agent deployment blueprints covering goals, data needs, compliance, and impact.
Learning Outcomes
By the end of this session, participants will be able to:
- Recognize how Enterprise AI Agents provide strategic business advantages
- Explain key AI agent technologies in non-technical terms to stakeholders
- Design integrated deployment strategies across departments and platforms
- Evaluate and compare governance approaches and risk factors for agents
- Apply frameworks for vendor selection and solution evaluation
- Collaboratively design and pitch agent deployment blueprints
Training Method
Blended: Presentations, group discussion, visual storytelling, collaborative exercises, and a hands-on blueprint lab session with team pitches.
Certification
Certificate of ParticipationPrerequisites
- understand what AI agents are and recognize agent types
- Know how LLMs (like ChatGTP or Gemini) empower agents to understand and generate responses
- Distinguish rule-based automation from AI-driven agents with adaptive and intelligent capabilities.
- Identify where AI Agents are deployed and recognize strategic outcomes
- Be familiar with frameworks to assess and prioritize agent opportunities based on business impact and feasibility.
- Understand key risks
- Awareness of governance roles (IT, business, compliance).
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Comfortable
working in groups, assigning roles, and presenting deployment blueprints.
Planning and location
09:00 - 18:00
ESCO Occupations
Your trainer(s) for this course
Tom DEMEESTER
See trainer's courses.Tom Demeester is a seasoned leader in digital transformation, AI strategy, and business innovation, with over two decades of international experience spanning Europe, the US, and Asia. Educated at Harvard Business School (Executive Leadership in the Digital Age) and holding an Executive MBA from Warwick Business School, Tom merges top-tier academic insight with a pragmatic, results-oriented approach to business transformation. Recognized for his ability to bridge business strategy and technology execution, Tom has built and scaled global solution portfolios—including a 90+ offering library for Microsoft Cloud, AI, Copilot, and D365 solutions. His leadership has been instrumental in shaping go-to-market strategies, launching €100M+ in new revenues, and enabling cross-functional alignment between sales, marketing, compliance, and delivery teams. Tom is the creator of the AI Agent Discovery Track, a program that helps businesses move from AI hype to high-impact deployment—combining ROI frameworks with regulatory readiness under the EU AI Act. His work is deeply respected by peers across IP, compliance, and technical domains for its strategic clarity, collaborative nature, and ethical focus on Responsible AI. He is a certified AWS AI Practitioner.