kiroi.org

KIROI - Artificial Intelligence Return on Invest
The AI strategy for decision-makers and managers

Business excellence for decision-makers & managers by and with Sanjay Sauldie

KIROI - Artificial Intelligence Return on Invest: The AI strategy for decision-makers and managers

Start » KIROI Step 8: Strengthening Employee Competency Development with AI

31 March 2025

KIROI Step 8: Strengthening Employee Competency Development with AI

Digital Leadership Digital transformation HR work and Teams 4.0 Artificial intelligence AI Glossary

Employee competence development is a central component of sustainable corporate strategies today. Many organisations recognise that the targeted promotion of skills and knowledge not only enhances the performance of individual employees but also strengthens overall team dynamics and innovative capacity. Particularly in the context of Artificial Intelligence (AI), new opportunities arise to make this process more efficient and personalised. In this article, you will learn how AI can be specifically used for employee competence development and which methods have proven effective in practice.

Employee Competence Development with AI: New Ways of Learning Support

AI systems can identify individual learning needs and suggest suitable measures. For example, they analyse work behaviour, feedback, and performance data to derive targeted recommendations for training or coaching. This ensures that employee competence development is no longer generalised, but holistic and personalised.

A practical example: In a medium-sized company, AI is being used to track the progress of employees in project work. The software identifies where learning gaps exist and suggests targeted online courses or workshops. This ensures continuous and transparent employee competency development.

AI is also being used in the healthcare sector to provide targeted training for healthcare professionals. The systems analyse daily workflows and recommend specific training tailored to the individual challenges of employees.

Practical methods for employee competence development

The combination of classic and digital methods is particularly effective. Here are some tried and tested approaches:

On-the-Job Training: Employees learn directly at the workplace and apply what they've learned immediately.
Project Work: Challenging projects promote professional and social skills.
Feedback culture: Regular exchange helps to identify strengths and areas for development.

In the automotive industry, for example, teams are put together in interdisciplinary projects to develop new technologies. This allows employees to acquire not only specialist expertise but also teamwork and communication skills.

In retail, employees are sent to different departments through job rotation. This allows them to continuously expand their knowledge and skills.

In the IT industry, regular feedback conversations are held to review employee progress and identify new development potential.

Employee competence development through AI-powered learning platforms

AI-powered learning platforms offer a variety of formats such as videos, interactive exercises, or webinars. Employees can learn flexibly and independently, regardless of time and place. This method is particularly cost-effective for training large employee groups.

An example from the finance industry: a bank uses an AI-powered platform to train its employees in compliance and risk management. The platform analyses learning progress and adapts the content individually.

In the logistics industry, employees are prepared for new processes through AI-powered simulations. The systems identify where additional training is needed and suggest targeted measures.

In healthcare, AI-powered learning platforms are being used to train professionals in nursing and management. The platforms offer personalised learning paths and support employees in applying what they have learned in practice.

Best practices from practice

BEST PRACTICE with one customer (name hidden due to NDA contract) and then the example with at least 50 words.

A medium-sized engineering company implemented AI-supported learning platforms to promote employee skills development. The platform analysed learning progress and suggested targeted measures. As a result, employees were able to continuously expand their technical and social skills. The feedback culture was strengthened, and the company's innovative capacity increased significantly.

My analysis

Employee competency development is a continuous process that can be made more efficient and personalised through the use of AI. The combination of traditional and digital methods offers a wide range of opportunities to promote the skills and knowledge of employees. Practice-oriented approaches such as on-the-job training, project work, and a feedback culture are particularly effective. AI-supported learning platforms enable flexible and personalised learning paths. Best practices from the field show that employee competency development can be strengthened through the use of AI and has positive effects on team dynamics and innovative capacity.