Agentic Enterprises – Leveraging AI Agents for Business
About This Course
This course explores how emerging agentic AI systems are redefining enterprise strategy, operations, and resilience. Participants will learn to critically assess AI’s transformative potential across industries, craft aligned digital strategies, and evaluate ethical, policy, and sustainability implications. Real-world case studies—from cloud innovation to hybrid quantum systems—will ground learners in localized execution and global impact. Designed for future leaders driving AI-enabled change, the course equips participants with tools to harness agentic intelligence for adaptive, purpose-driven transformation.
Artificial Intelligence (AI) agents are software systems built with gen AI that can plan, act, remember, and learn to achieve predefined outcomes autonomously. They are evolving quickly. As they mature, AI agents can completely change how companies operate and generate value. If harnessed effectively, it is an opportunity for companies to jump ahead of their competitors. Deploying AI agents is more than AI-driven automation. It is a fundamental rethinking of how work gets done.
For business leaders, inspiring teams to embrace agentic AI means shifting the conversation from fear of job displacement to excitement about job transformation. In agent-first companies, AI is not just fixing problems. It is turning customer frustration into loyalty, inefficiency into innovation, and work into something truly meaningful.
Agent-first companies will have an enormous impact on the economy, with growth expected to be driven primarily by productivity gains from augmenting human labour with AI. Digital labour will help companies optimise budgets and do much more without adding huge operating costs.
What You'll Learn
1. Explain what agentic AI is, how it differs from generative AI, and how agents plan, act, remember and learn.
2. Identify high-impact agentic AI opportunities in business value creation, organisational transformation, governance, and strategic decision-making; and prioritise them using a three-horizons framework.
3. Consider appropriate platforms and architectures (single vs multi-agent, open vs closed) and sketch an integration approach with existing enterprise systems and interfaces.
4. Conceive human–agent collaboration models and user-facing agents that are empathetic and bias-aware.
5. Formulate an AI-aligned digital strategy with clear short-, medium- and long-term objectives, metrics and change-management actions.
6. Assess operational, security, legal and ethical risks of agentic AI and define practical mitigation and governance controls.
7. Recommend sustainable, compliant agent deployments that enhance resilience and align with stakeholder priorities.
Entry Requirements
General Degree