AI is rapidly redefining what it means to “run L&D.” As AI takes on content creation, coaching, skills routing and operational execution, learning leaders face a new challenge: determining where AI should automate, where humans should lead, and how L&D can demonstrate measurable business value with leaner teams and tighter budgets. At the same time, skills gaps are emerging faster than traditional learning models can address them.
Leading organizations are beginning to make L&D itself AI-native. That means shifting from course delivery and completion metrics toward business outcomes, using live workplace data to deliver contextual learning in the flow of work. As AI increasingly manages execution, the human role evolves from operator to architect and ultimately orchestrator, designing systems that scale capability, judgment and “brain capital” across the enterprise.
Join Disprz and a select group of your peers as we explore how L&D can lead rather than follow the AI transformation. We’ll examine how to make L&D AI-native, embed intelligent learning directly into work, and build a path toward autonomous, continuously improving enablement, freeing learning leaders to focus less on running programs and more on building the capabilities the business needs next.
Speakers
Subramanian Viswanathan
Kuljit Chadha
About Disprz
Disprz is an AI-powered enterprise learning, skilling, and enablement platform trusted by 500+ enterprises and 3.5
million+ learners across 25+ countries. Its agentic suite, spanning LMS, LXP, Frontline Training, and AI Sales Coach,
helps organisations in banking,insurance, retail, manufacturing, and pharma tie capability directly to business outcomes.
With Autonomous Enablement OS, Disprz is extending that platform into a bold new category: enablement work done
autonomously, in the flow of work, with a human in the loop. Learn more at disprz.ai.
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