Mention the word onboarding and a merry-go-round of training sessions, paperwork, and checklists come to mind. It can be a great experience but it can also involve a lot of repetitive tasks for talent professionals and new hires alike.

What if it could be different?

The good news is: It can. Generative AI can make onboarding more efficient and pleasant for everyone. And every interaction an employee has with your company, from onboarding to compliance training, shapes how they view your organization and perform on the job.

New hires that have poor onboarding experiences are twice as likely to look for another job in the near future. But when the onboarding experience is positive, new hire retention jumps by 82%. Employee engagement goes up by 54%, and employees are 18 times more likely to feel committed to the organization.

That’s why it’s important to make onboarding as positive as possible. Read on to learn six ways you can use GAI to create an onboarding experience that will make new hires glad they joined the team.

1. AI can automate administrative tasks

Say goodbye to sending untold forms and material to new hires. With GAI, you can digitally generate and manage paperwork. AI can set up accounts and profiles, complete paperwork automatically, and ensure that candidates receive compliance and training materials in a timely manner. This saves HR professionals time, but also saves candidates from having to fill out the same information — name, ID numbers, birthdate — on multiple forms.

2. It can design personalized checklists of tasks new hires need to complete

With GAI, you can create and automate personalized checklists of the forms and training that new hires need to compete. This will make it easier for them to keep all the information they need straight. Instead of handing everything to them on the first day and hoping they remember, you can use GAI to create a checklist that will help them track what needs to be completed, while also keeping you updated on their progress.

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Source : Talent Blog, Laura Hilgers, 12 juin 2024