Business Innovation with Agentic AI and AI Agents

About This Course

This course equips professionals with the knowledge and practical skills to drive business innovation using agentic AI and AI agents. Participants will explore how autonomous and collaborative agents can analyse information, use digital tools, coordinate multi-step tasks, and support employees in developing new products, services, processes, and customer experiences.

Learners will examine current and emerging AI agent technologies and evaluate their strengths, limitations, risks, and suitability for different organisational needs. Through case studies and real-world business scenarios, they will identify innovation opportunities, analyse customer and operational challenges, and conceptualise viable AI-enabled business solutions aligned with strategic objectives.

The course covers the design of digital architectures and multi-agent workflows that integrate AI agents with existing data sources, applications, and business processes. Participants will learn to assign specialised roles to agents, coordinate human-agent collaboration, and develop implementation plans covering resources, responsibilities, timelines, performance indicators, covering resources, responsibilities, timelines, performance indicators, and expected business outcomes.

Learners will also evaluate the commercial, operational, legal, ethical, privacy, and security implications of adopting AI agents. Emphasis is placed on human oversight, governance, stakeholder engagement, change management, and the responsible scaling of successful initiatives.

By the end of the course, participants will be able to develop and present an actionable business innovation plan using agentic AI and AI agents to improve productivity, create new value, strengthen competitiveness, and support sustainable organisational growth.