Agentic AI

Agentic AI is the buzzword on every executive’s lips today — much discussed but also misunderstood in a swirl of marketing hype. After generative AI (GenAI) exploded on the scene, assistants that augment human talent through prompts in a chat interface became ubiquitous. But AI agents represent the next evolution from robotic process automation into intelligent orchestration:

• Perception: Sensing, interpreting and contextualizing data — including textual or visual inputs — to recognize when a task should be initiated and when it is completed
• Interaction: Communicating, acting with and reacting to humans, systems and other agents, facilitating meaningful exchanges of information and collaboration in an ecosystem
• Autonomy: Operating independently, making decisions and performing tasks without the need for human intervention, driving innovation and productivity

A new paradigm of productivity

Executives often speak of AI as though the “a” just means “automation.” But agents are able to exercise informed judgment and meaningfully collaborate with humans and other agents, changing the very nature of how work is completed, how much and by whom.

Agentic AI use cases

Effectively implementing agentic AI requires straddling many disciplines in an organization: at the nexus of technology and human resources, of data architectures and process reimagination and of the C-suite down to entry-level workers.

EY teams draw from a global network of pioneers in each area, bringing together the technologists at the cutting edge of what is now with the industry leaders who understand the future of a sector and how to get there — delivering proof, not promises.

How EY can help

EY Consulting helps organizations navigate agentic AI complexity and embrace innovation, shaping a future defined by possibility and growth.