AI in HR: Support in the onboarding process

AI in HR: Onboarding Made Easy

How can artificial intelligence (AI) improve the onboarding process for new employees and make the entire company knowledge available to all employees?

Problem situation:

Artificial intelligence (AI) should support employees, not replace them.

We often spend a long time searching for information that is hidden somewhere in documents, systems or emails. That costs time and nerves. It is particularly difficult for new colleagues to familiarise themselves with the often existing overflow of information. In addition, it is also important for existing employees to be able to access a central knowledge database.

Initial situation:

Imagine being able to access a digital employee who knows all of your company's data and processes. As if you were asking a colleague who has been with you since the founding of your company and has mastered all processes and information by heart. That is exactly what artificial intelligence now enables us to do. This makes it easier to quickly find important information, optimize processes and simplify onboarding — allowing everyone to work more efficiently.

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A McKinsey study found that employees spend around 1.8 hours a day and an average of 9.3 hours a week (around 20%) searching for and collecting information. This means that out of five employees hired, only four are actually doing their job!

How can AI help employees waste less time searching for internal company information?

Practical uses of AI in HR (onboarding) — 100% GDPR compliant ‍

Onboarding: Imagine a new employee on the third day at your company. Information overload, overwhelmed and the person responsible has no time. A moment that shouldn't happen but is often a reality. Thanks to AI, the new employee has the opportunity to communicate directly with their own company data in order to better understand processes and learn new things. For example, the following questions can be asked to the “AI employee”:

• “What services does my company offer”?
• “How does the process work if I want to rent a car from the company?”
• “What target groups do we have in the B2B sector”?
• “Who is responsible for press releases”?
• “Explain to me how the steel production process works”?

Other potential applications of the AI employee in the onboarding process:

Your digital employee (AI) who knows everything:

‍An AI that knows your entire company & knowledge database, which you can access every second.

• Questions about the responsibilities and areas of responsibility of individual persons
• Technical details, DIN standards, guidelines
• Legal issues
• process flows, etc. ‍

Strategic and operational support:

Get help from your digital employee.

• Project summaries from customers (including, for example, after the vacation period: summary of information that you missed during your vacation).
• Strategy planning for the sale of a new service (target group definition, customer communication, etc.).
• Analyses of historical events & data.
• Support with reports, emails, reports, etc.

Concrete next steps for success with AI:

• Develop an AI strategy: Identify relevant data and areas that are particularly relevant to the onboarding process (organization charts, process flows, policies, services, etc.)
• Setting up enterprise AI: AI training with your own company data for optimal results.
• Feedback and adjustment: Collect regular feedback from employees and customers to continuously improve AI applications.

Conclusion:

By using AI in onboarding and knowledge management, companies can not only save time and resources, but also increase job satisfaction. Onboarding processes are therefore carried out faster, more qualitatively and more satisfactorily, which at the same time leads to employee retention.

Interested in how you can improve your onboarding process with enterprise AI? Take advantage of the offer of free initial consultation to learn more about how AI can improve your organization's onboarding process.