Key Takeaways

• Agentic AI enables personalized, adaptive learning and intelligent automation at nearly any scale
• Using autonomous AI, L&D teams can automate administration, design, and delivery alike
• Through adaptive learning and continuous analysis, agentic AI supports ongoing improvements in learner engagement, time-to-productivity, and skill development

Learning is getting a whole lot smarter, and not a moment too soon. 

Training leaders are constantly expected to do more with less, and professional development has never been more important. They need a breakthrough that’ll allow them to simultaneously deliver better training while reducing their overhead.

And that’s exactly what agentic AI promises to do. 

What is Agentic AI? 

Agentic AI is essentially autonomous artificial intelligence. It’s capable of making its own decisions and taking action based on predefined goals and criteria. This also allows it to collaborate directly with both humans and machines to address complex business challenges. 

The Role of Agentic AI in Corporate Training

Agentic AI manages and optimizes the learning process through a combination of intelligent automation, AI-driven personalization, and real-time feedback. It does this proactively, requiring minimal human direction or intervention. Key functions include: 

• Ensuring training programs target the right topics by leveraging data from other business systems to identify skill gaps
• Supporting adaptive learning programs by adjusting each participant’s training based on their knowledge, skills, and interactions
• Reducing administrative workloads with automated reminders, certifications, compliance checks, and feedback 
• Providing coaching during training to keep participants focused and on-track
• Continuously assessing and optimizing content based on outcomes and training needs

Agentic AI is also ideally-suited for supporting agentic learning, providing participants with much-needed guidance, motivation, and support. Pairing this with hands-on training can also significantly accelerate time-to-value.

Related: Exploring the Impact of AI-Powered Learning Experience Platforms

The Five Top Use Cases for Agentic AI

One of the biggest advantages of agentic AI is its versatility, which allows it to have a huge impact in several key areas of corporate learning and development. 

Creating Adaptive Learning Experiences

Agentic AI represents the technical foundation of adaptive learning. As participants learn, the AI agent continuously analyzes their performance and behavior. It can then dynamically adjust their learning path, the content they receive, and how that content’s delivered to align with both their immediate needs and broader training objectives. 

Delivering Consolidated Training Insights

Artificial intelligence has always excelled at finding patterns and drawing insights from massive amounts of data. In a training context, that capacity is immensely valuable, especially when it happens autonomously. 

Provided it’s connected to the right systems, agentic AI autonomously parses insights about learning effectiveness, skill gaps, and both current and future training needs, all without the need for manual assessments. 

Related: Virtual Training Assessments: A Guide to the Latest Tools and Best Practices

Real-Time Coaching

Agentic AI can do more than orchestrate training from behind the scenes. Its autonomy also makes it perfectly-suited to function as a partner and guide for learners. Rather than having to seek out an instructor or wait for a member of your support team, they can leverage the agent for on-demand guidance, feedback, and advice. 

Workflow Automation

As it turns out, autonomy and automation are a match made in heaven. Organizations can use an AI agent for learning, administrative, and operational tasks alike, including enrollment, recordkeeping, scheduling, certification tracking, and audits. Because they’re wasting less time on manual, repetitive tasks, L&D teams can focus more time and energy on developing and delivering better, more strategic training content. 

Related: The Role of Training Verification and Certification in Online Learning

Content Creation and Curation

Content management is one use case that both agentic and generative AI share in common. Where the two differ from one another is that with agentic AI, learning resources are managed and updated with minimal human intervention. This allows organizations to create, localize, and curate training materials such as course modules, simulations, and assessments at virtually any scale. 

Ready to Incorporate Agentic AI into Your Training? 

Learning and development are growing costlier and more complex. Your training needs to be smarter for your organization to keep up. That’s where agentic AI comes in.

Through intelligent automation, personalization, real-time feedback, and content generation, it provides your team with everything it needs for smarter, more efficient, more effective training. 

And if you’re looking for a platform on which to deliver that training, book a demo with CloudShare. Our virtual IT labs are a perfect match for AI-driven training. 

Explore Best Practices for Deploying AI in Corporate Training

Agentic AI has some incredible potential for learning and development. But unlocking that potential requires that you first understand it. Check out 7 Top Tips to Effectively Use AI in Corporate Training to get started.