Course Objective & Scope
Agentic AI marks a shift from assistants that answer questions to systems that execute work end to end, and that shift calls for new management decisions on authority, accountability and cost. The programme covers how agents fit into sales, customer service, finance, HR and supply chain without drowning in technical detail.
Participants review industry examples, build an “agent opportunity map” on their own organisation's processes, work through a business case and risk assessment, and leave with an executive checklist that includes governance principles.
Who Should Attend?
- Senior executives and functional leaders
- Strategy, digital transformation and operational excellence teams
- Finance and risk managers contributing to AI investment decisions
- No technical background required
Key Takeaways
- Explain the business value and limits of agentic AI in management terms
- Identify and prioritise agent opportunities by function
- Assess cost, benefit and risk for agent investments
- Set governance principles for agent authority and human approval
- Plan role and process changes for teams working with agents
Curriculum
What Agentic AI Is and Is Not
- The shift from assistants to autonomous execution
- Separating hype from real capabilities
Use Cases by Function
- Examples from sales, customer service, finance, HR and supply chain
- Agent opportunity mapping exercise
Business Case and Value Measurement
- Cost items: model usage, integration, maintenance
- Building ROI around productivity, quality and speed
Operational Risk and Governance
- Wrong actions, data leakage and reputational risk
- Authority limits, human approval and the EU AI Act / KVKK perspective
Organisation and Capability Transformation
- Role design for teams working with agents
- Change management and executive checklist
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