Artificial Intelligence (AI) is a buzzword everywhere today, and for good reason. AI already impacts our lives in so many ways. All the platforms that are such an integral to our daily lives – Amazon, Spotify, Netflix and more – have AI-powered recommendation engines.

But these suggestion engines are just one application of AI. In eLearning and learn tech platforms, it’s easy to see AI’s role for recommendations. However, AI-driven learning platforms offer so much more to enhance corporate training programs.

If you are curious about how AI achieves this and what features to look for in an AI-powered LMS or LXP, you’re in the right place.

For this blog, we will be dividing the features as those that work the best for L&D and talent teams and those that work the best for learners. Along with each feature, I also mention its real world applications. I believe it’s always good to illustrate features with real-world examples to see how they actually play out in practice!

AI-powered LMS and LXP can transform how L&D and Talent Teams design and deliver learning experiences and manage talent processes.

Here’s how:

Traditional content creation can be time-consuming and resource-intensive, but AI changes that paradigm. By analyzing input parameters, templates and prompts, AI content authoring tools swiftly generate customized audio and video elements. This capability not only accelerates the content creation process but also maintains consistency and relevance across diverse learner groups, ultimately enhancing engagement.

Real World Application

When creating onboarding material for new hires in different roles, the conventional method involves extensive planning, writing and recording sessions. This can take weeks to finalize and localize for various languages and roles.

With AI-powered content authoring tools, companies can streamline the process significantly. By analyzing input parameters such as the roles and backgrounds of new hires and specific training objectives, AI generates customized audio and video elements swiftly. Templates and prompts guide the AI in crafting interactive tutorials, onboarding videos and assessments tailored to each employee’s needs.

AI-powered tools quickly summarize research papers, learning topics and compliance circulars for L&D teams. Using natural language processing and machine learning algorithms, these tools analyze and condense complex documents efficiently.

Real World Use Application

If an L&D manager is preparing for a training program, AI instant insights tools can help them analyze and summarize research papers and compliance documents to use material from. Once key information is extracted, training content can be created more effectively. This way, they can better ensure the training meets standards and enhances learning outcomes. In highly regulated industries like BFSI, Pharma etc., AI-powered summarization tools make it feasible to keep up with the rapid influx of new research and regulatory updates.

AI-powered Assessment Builders can be essential tools for L&D teams as they enable creating personalized assessments tailored to each learner’s knowledge level. These tools analyze content from internal and external sources to generate accurate assessments that effectively measure learners’ skills and knowledge.

Real World Application

Consider a case where an MNC’s L&D team wants to create customized assessments for their sales teams. Using AI-powered Assessment Builders, they can analyze sales data, product manuals and industry reports. Assessments can be tailored based on real-time data insights and the team can ensure the training content aligns precisely with the sales teams’ skills.

AI-powered proctoring solutions bolster test integrity through object detection and user identification technologies. These tools leverage AI to detect and deter fraud and cheating during assessments. Result? Guaranteed reliability of test results! This capability empowers L&D teams to assess learners’ knowledge with more confidence and accuracy.

Real World Use Application

For remote certification and compliance scenarios, AI-powered proctoring solutions are used to maintain the integrity of exams. The system automatically detects anomalies such as multiple faces in the frame, unusual eye movements, or even background noise that easily indicates unauthorized assistance. During online training sessions and skill assessments, AI-powered proctoring tools can monitor participants to ensure they are actively engaged and not resorting to dishonest practices. For instance, the AI can detect if an employee is inattentive, looking at unauthorized materials, or receiving outside assistance during a skills test.

AI-driven FRAC Modeling tools play a key role in talent management by facilitating the creation of job descriptions, Key Result Areas (KRAs), and competency models. These tools use data analytics to optimize talent management processes, identify necessary competencies and recommend personalized learning paths that are aligned with employees’ KRAs.

Real World Use Application

A pharma company is hiring for the role of Clinical Research Associates (CRAs). With AI-powered FRAC Modeling, their talent team can create precise job descriptions and Key Result Areas (KRAs) that focus on critical competencies like regulatory compliance and clinical trial protocols. This not only ensures that the hired CRAs are well-prepared for high-quality research, it saves critical time for HR and Talent teams.

AI-enabled tools equip L&D and talent teams with advanced capabilities to analyze employee feedback and survey responses. By employing sentiment analysis and predictive analytics, these tools reveal crucial insights into employee attitudes, preferences, and engagement levels. This data empowers talent teams to implement targeted strategies that enhance employee engagement and satisfaction proactively.

Real World Use Application

An MNC’s L&D team has recently conducted a leadership training program. How do they know what tweaks the existing program requires so that it benefits participants more? One way is using AI tools to analyze feedback. It is likely that possible insights, for instance, could reveal a strong preference for practical case studies in strategic decision-making. Adjustments can be made to future sessions to include more hands-on exercises, aligning training content with participants’ learning preferences to enhance overall engagement.

AI-powered LMS and LXP enhance learner engagement by delivering personalized, learning experiences in the flow of daily work that address immediate skill as well as future requirements.

Engaging learners is more critical than ever today, and L&D teams need tools that can easily create personalized content. By leveraging algorithms, AI tools automatically assign tailored multimedia content based on learner preferences, proficiency levels, and skill gaps. This hyper-personalization enhances learner engagement and knowledge retention in the process.

Real World Application

Imagine an LMS/LXP being used for training on programming courses. Thanks to AI, the learning platform assigns courses based on each learner’s needs and experience. For instance, beginners start with interactive tutorials, intermediates tackle more complex coding challenges while advanced learners dive into real-world projects. In short, the system adapts as learners progress and the material always remains relevant, boosting engagement.

AI-powered Skill Builder Suites in LMS and LXP analyze learner data including performance, preferences and career aspirations to create personalized skill development plans. By recommending targeted learning activities that address specific skill gaps aligned with career goals, learners can effectively progress in their professional development journey.

Real World Use Application

Sarah, a Project Manager, is using her company’s LMS for upskilling. The AI analyzes Sarah’s recent performance in project management courses, her preference for interactive learning and her goal to advance to a senior role. Based on this data, the system recommends workshops and courses tailored to enhance Sarah’s project management skills and leadership abilities which can benefit her in career advancement.

AI-driven contextual and semantic search features in LMS and LXP allow learners to find precisely what they need when they need it. AI chatbots further enhance this by providing instant, context-aware responses to queries and ensure learners get accurate information on-demand. This integration extends beyond the learning platform, seamlessly connecting with tools like MS Office to deliver timely and relevant information whenever required.

Real World Use Application

During a customer call, a customer support executive needs some information about a new product feature that was discussed in the training. They can use AI-powered search in their LMS to quickly find the information required. They can also use the AI chatbot integrated with their system to get real-time advice on addressing the customer’s technical query more effectively.

AI-driven Sales Mastery Simulators in LMS and LXP provide sales teams with realistic scenarios to enhance their sales skills. These simulations analyze performance and offer personalized coaching to improve sales techniques effectively.

Real World Use Case

Sales representatives can use AI-driven Sales Mastery Simulator to engage in simulated sales scenarios where they interact with virtual customers, negotiate deals and handle objections in real-time. The AI analyzes their responses and provides instant feedback on their sales approach, suggesting improvements tailored to their performance. This helps them practice and refine their sales skills in a risk-free environment before applying them in real-world situations.

AI-powered productivity assistants in LMS and LXP offer on-demand support and guidance to learners by acting as virtual coaches or mentors. They provide personalized recommendations, answer questions and even give insights to support learners on the job.

Real World Use Case

For a marketing specialist undergoing training, in a simulated campaign planning session, the AI assistant provides real-time feedback on strategy effectiveness and audience engagement tactics. It offers personalized insights on varied topics like let’s say optimizing ad copy, targeting specific demographics and leveraging social media channels effectively. This guidance helps the specialist refine their skills and achieve better results in engaging with their target audience.

AI-powered LMS and LXP platforms are revolutionizing corporate training by offering personalized learning experiences and enhancing talent management.

At Enthral, we know how challenging modern training and upskilling can be. With our AI-powered LMS and LXP, we give you all the tools that will revolutionize your L&D efforts and help your team excel.