"Imagine if every employee in your organization had their own personal learning assistant-one that sends tailored training modules, nudges them at just the right time, resolves their doubts, tracks their progress, and even reminds their manager if they're falling behind. Now imagine that assistant working 24/7 without burnout, never missing a follow-up, and continuously improving based on data. Welcome to the era of agentic AI in Learning and Development (L&D)- where training is no longer administered, it's automated, personalized, and self-driven."
"Agentic AI, on the other hand, doesn't just suggest-it takes action. It behaves less like a tool and more like a digital co-worker. Instead of simply reacting to inputs, it proactively drives outcomes. It doesn't wait for an employee to search for a course; it assigns it automatically, sends reminders, tracks progress, and even escalates if needed. In short, while assistive AI is user-driven, agentic AI is goal-driven-it owns the responsibility of getting things done:"
Agentic AI provides each employee with a personal learning assistant that sends tailored modules, nudges at optimal times, resolves doubts, tracks progress, and reminds managers when employees fall behind. It operates continuously without burnout, never misses follow-ups, and improves from data. Agentic AI takes actions rather than only recommending options. It proactively assigns courses, sends reminders, tracks completion, and escalates issues, owning the outcome. Assistive AI suggests courses and waits for user initiation. Agentic AI behaves like a digital co-worker and functions as an autonomous member of the L&D team.
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