AI In Learning and Development: How to Implement AI in Employee Training

So, you're the head of sales at a leading software solutions company. A new product has just dropped and you're duty-bound to train your salesforce before unleashing it into the market.

In the old days, you'd have to contend with a one-size-fits-all training program. You have to translate it into multiple languages, deliver webinars across different time zones, and so on. That's a logistical and financial nightmare.

Using AI, your learning and development (L&D) teams could personalize the learning experience for each employee.

Your team in London, whose focus is on enterprise clients, would need in-depth modules on complex product features. A salesperson in Tokyo whose target is small businesses could make do with shorter explainer videos on core functionalities.

With AI, you get to tailor the content, delivery format, and even assessment methods to each individual's role, location, and prior knowledge.

This is just one example of how AI is transforming L&D. It has brought to life capabilities that may have previously been dismissed as science fiction. Now, up to 97% of businesses bet on AI tools for more efficient operations, data published by Forbes in 2024 says. [1]

Common learning and development teams challenges

L&D teams are those pros charged with keeping a workforce properly skilled and adaptable to a business's needs. But even the most passionate L&D professionals can tell you their job comes with some persistent challenges:

1. Labor intensive processes

Designing, organizing, and delivering training programs are time-consuming. Think about it: there's crafting course materials, scheduling sessions for all the different time zones, and tracking individual progress.

And the challenges don't end there. They've got to do it all within a set budget. This leaves less time for the strategic work of identifying future skill needs and aligning training with evolving business goals.

2. The engagement gap

Traditional lectures and one-size-fits-all eLearning modules can be a snooze fest. To increase knowledge retention, learners have to feel engaged with the content. Achieving this can be tough in the digital world, which constantly stimulates us.

3. Measuring the impact of training

Training programs cost a few bucks and a lot of time to develop, but how do you know if they're actually improving employee performance and business outcomes?

Traditionally, measuring the impact of training has been a challenge. Many L&D teams struggle to connect the dots between training initiatives and metrics like increased sales, reduced errors, or improved customer satisfaction.

4. Catering to a multigenerational workforce

Studies show that 49% of workplaces today have got three different generations working together. It goes without saying that these generations come with different learning preferences and styles.

Baby Boomers might prefer instructor-led training, while Millennials and Gen Xers might thrive in a more self-directed, online learning environment. [2]

L&D teams need to develop training programs that cater to these diverse learning needs to ensure everyone has the opportunity to develop their skills and reach their full potential.

These challenges have been around for a while, but thanks to tech, letting the right AI powered learning platform take part in your L&D projects can make them all an issue of the past. How can it empower your L&D teams? Read on.

How AI can empower learning and development teams

Reports indicate that the L&D industry is about eight years behind in adopting new tools and approaches compared to fields like marketing. However, AI offers a prime opportunity for L&D to catch up. Here's how it can make a difference:

1. Automated course creation

AI-powered content generators can simplify the creation process. These tools use intelligent templates and pre-built content blocks to automatically generate comprehensive training materials. This translates to the ability to create high-quality training courses in multiple languages while maintaining a consistent tone and style.

In addition, AI ensures your training materials are standardized and can be easily scaled to meet the needs of a growing workforce.

2. Personalized learning paths

Studies show that 58% of employees prefer to learn at their own pace. That's why you should focus on training programs that adapt to each learner's needs and goals. [3]

AI can analyze an employee's background, job role, and past performance to identify these knowledge gaps. Then, it can curate a personalized learning path filled with relevant content, activities, and assessments.

For example, Sarah, your seasoned salesperson, excels at building relationships. AI can personalize her sales training on the new product launch by focusing on value propositions and competitive differentiation. Meanwhile, for Michael, a newer salesperson still mastering the product features, AI can prioritize in-depth product demos and interactive simulations.

Both Sarah and Michael receive the training they need to succeed, but it is tailored to their existing strengths and knowledge gaps.

This way, employees can break free from the hamster wheel of spending time on repetitive information and focus on areas where they need the most improvement.

3. Real-time learning

AI enables real-time learning by assessing skills as they develop. Say, you're running a training program that uses simulations or virtual reality to train employees on new procedures.

AI can analyze the learner's performance within the simulation and provide immediate feedback on their technique, decision-making, and areas for improvement. This allows for on-the-spot refinement and mastery of skills.

4. Microlearning on the go

A full-size PDF on a complex topic is great, but it can put off a learner. AI can break down complex topics into bite-sized, engaging learning modules.

Take the example of John. He's a busy field service technician struggling to find time for training amidst his packed schedule. On his way home, he receives a notification on his phone: a new microlearning module on a complex product repair procedure has just dropped.

This bite-sized learning nugget, developed using AI, is just 15 minutes long and delivered through a user-friendly mobile app. The module uses short explainer videos with step-by-step instructions, gamified challenges, or interactive quizzes to test John's understanding.

This microlearning approach allows John to stay up-to-date on the latest service procedures without sacrificing valuable work time. This way, John gets the opportunity to upgrade his skills and become better at his job as a result.

5. Expert bots and AI coaches

AI-powered chatbots or virtual assistants can act as personal learning companions. They help with the following:

• Answer questions on complex topics, breaking them down into digestible chunks
• Offer personalized learning resources based on the learner's specific needs
• Simulate real-world scenarios to help learners practice their skills in a safe environment.

Take the example of Mary, a new customer service rep. There's a whole universe of product information she needs to learn, and fast. Mary can ask the AI-powered chatbot questions about complex product features, and it breaks them down into clear, concise explanations with relevant visuals.

Additionally, the chatbot can simulate real-world customer scenarios through chat interactions. This allows Mary to practice her communication and problem-solving skills in a safe, virtual environment. She can then feel confident and prepared to handle customer inquiries.

6. Content curation and delivery

Finding the right training content at the right time can be a challenge. AI can filter through vast amounts of learning materials and recommend the most relevant and up-to-date resources to each learner. This saves employees' time and ensures they're focusing on the information they need most.

AI can also personalize the delivery format. This means text-based articles, interactive simulations, or video tutorials are all on offer based on learner preferences.

7. Accessibility for all

L&D opportunities should be accessible to everyone, regardless of location, disability, or language barriers. AI can help bridge these gaps.

AI-powered tools can translate training materials into multiple languages, provide closed captioning for video content, and offer alternative learning formats for those with visual or auditory impairments. This ensures a truly inclusive learning experience for the entire workforce.

8. Predictive learning needs

AI can analyze industry trends, job market data, and internal employee data to predict what skills will be in demand in the coming months and years. This allows L&D teams to be proactive in developing training programs that equip employees with the skills they'll need to succeed in the future.

9. Learner data analysis

L&D teams often collect a wealth of data on learner behavior and performance. However, manually analyzing this data can be time-consuming. Here's where AI shines. AI algorithms can analyze vast amounts of learner data to identify patterns, knowledge gaps, and areas where learners struggle.

These insights are invaluable for L&D professionals. They can use this information to identify areas for improvement in training content, personalize learning paths for individual learners, and measure the overall effectiveness of training programs.

Real-life examples

These are just a few examples of how AI is transforming the L&D landscape. Look for tools that complement your team's expertise and allow them to focus on the strategic aspects of learning and development.

We've discussed earlier that incorporating AI into L&D has its share of pros. Now, here are a few real-life examples of how some organizations have done it (and successfully at that):

1. Kiehl’s + Docebo

Kiehl's has been, for over 170 years now, providing their customers with highly personalized skincare expertise. Their mission? Make "better citizens, better firms, and better communities."

The challenge

Kiehl's thought about having a learning platform that's global in scope. They want it to be accessible and engaging for their employees, too. Here are their other requirements: highly personalized, educational, and the platform must be available in multiple languages. [4]

The solution

Kiehl's partnered with AI provider Docebo to create a customized learning management system (LMS). Called Kiehl's Academy, it has skincare science, product knowledge, and customer service courses that are up for grabs. There are social features, too: a global community and an "Ask the Expert" page.

The results

Kiehl's Academy has been hitting its goals, as evidenced by much improved employee engagement and knowledge. It has also expanded the company's reach to new markets. [5]

2. Care.com + MeBeBot

Care.com is a remote-first company with a growing workforce. But it's not spared from difficulties, too. One of which was maintaining consistent communication.

The challenge

Employees frequently encountered difficulties in finding accurate and timely answers to HR, IT, and facilities questions due to scattered information sources and time zone differences. This led to frustration and decreased productivity.

The solution

To address these issues, Care.com implemented MeBeBot's AI assistant as a Slack app. How does it work? MeBeBot provides instant, automated responses to common employee inquiries.

The company then gets rewarded with a streamlined process, which makes employees more satisfied. This means there's less burden for Care.com's HR, IT, and facilities teams to worry about, and they've only got to focus now on tasks that truly matter. [6]

The results

The implementation of MeBeBot has yielded numerous benefits for Care.com. Access to accurate and consistent information is now within easy reach, improving their overall experience.

Here's another win: the company has been able to streamline communication. It has given them the ability to consolidate information into a single platform. This means there's no need for multiple email inboxes and Slack channels.

MeBeBot's analytics capabilities have also provided valuable insights into employee needs, enabling Care.com to tailor their support services in, basically, any sort of way. [7]

The success of the Care.com and MeBeBot team-up is proof that AI assistants have the power to enhance employee experiences within remote work environments. There's the provision of timely information. There are also fewer communication bottlenecks. The result? A more efficient and engaged workforce.

In closing

AI is a tool for the future. Bringing it on board may mean a better learning experience, which will do a lot of good for your business.

But don't take it lightly. Do your research and settle for the best tool that meets your business where it is. That is, it should meet your needs and budget. That way, you can get the best ROI for it.

Sources:

1. "How Businesses Are Using Artificial Intelligence In 2024", Source: https://www.forbes.com/advisor/business/software/ai-in-business/

2. "Gen Z Statistics For Employers", Source: https://www.qureos.com/hiring-guide/gen-z-statistics

3. "68 Training Industry Statistics: 2024 Data, Trends & Predictions", Source: https://research.com/careers/training-industry-statistics

4. "How Artificial Intelligence will impact and transform HR and L&D" Source: https://www.techfestconf.com/aus/hr-blog/ai-mean-humans-human-resources

5. "Behind the Scenes: How AI is Elevating HR in World-Renowned Brands", Source: https://www.seasiacenter.com/news-events/blog/20231029001

6. "Learn How Care.com Takes Care of Their Employees with AI [case study]" https://www.hr.com/en/webcasts_events/webcasts/archived_webcasts_podcasts/learn-how-carecom-takes-care-of-their-employees-wi_l4slivym.html

7. "MeBeBot Creates Intelligent Assistants for the Workplace", Source: https://www.siliconhillsnews.com/2022/07/22/mebebot-creates-intelligent-assistants-for-the-workplace/