Edward Funnekotter, Chief AI Officer, Solace explains how an event-driven approach manifested through an agent mesh is essential for intelligent, adaptive Agentic AI systems to respond to the complex demands of modern business.

Agentic AI goes far beyond simple question-answering on a subject for which an LLM has been trained. It is a software pattern that uses multiple LLMs and services, aka“ agents” to perform more complex tasks and reasoning autonomously. The evolution of agentic frameworks has seen a remarkable transformation. Initially, these systems were limited to rule-based tasks. They have now steadily advanced into sophisticated, multimodal agents.

These agents possess the ability to process and integrate information from diverse sources, including text, images, and audio. This multimodality empowers AI agents with reasoning capabilities that can interact in ways that can almost simulate human understanding. It is like an employee that is flexible and adaptable, with a specific area of expertise.

For example, it could act as a customer support agent with the task –“ for each new ticket, find similar tickets and answer product usage questions that are in the ticket. Then add your findings as a comment to the ticket.” This opens up the ability to tackle a huge spectrum of business challenges from intuitive customer communications, real-time inventory decisions, fleet management and more.

Don’ t jump the gun – Agentic AI projects are in the starting blocks: but the pistol needs firing

That said, getting out of the pilot phase and into everyday business applications is proving to be the biggest hurdle for any AI project. HBR has estimated

www. intelligentcio. com INTELLIGENTCIO NORTH AMERICA 75