AI agents are software tools that act autonomously to perform tasks, leveraging AI models, particularly large language models, to understand language and interact with systems. These agents can automate workflows, augment individual productivity, and even form complex, collaborative systems within organisations. 

Recent advancements have enabled agents to move beyond knowledge retrieval to action-oriented capabilities, leading to their potential widespread adoption across various industries. The podcast covers different types of AI agents, their operational processes, and their relationship with LLMs, further exploring their potential to drive business growth by reimagining processes and modernising infrastructure. 

Organisations face hurdles in adoption, including building trust, managing change, and ensuring data protection, while their tech architectures will likely evolve towards multiagent models. Ultimately, the implementation of AI agents requires strategic planning in technology, talent, and operating models to unlock their transformative potential.

Topics covered:

• What are AI Agents and how do they work?
• How can they impact business performance and growth, with real examples
• Hurdles faced in adopting AI Agents
• How organizations can implement AI Agents