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HR has been severely affected by Covid-19. The shift from office-remote-hybrid working environment has added to the challenge of maintaining, managing, and building an efficient workforce. Moreover, the Great Resignation has reached closer home and the HR function is next in line to be impacted by mass movement of employees. The need of the hour is to reinvent HR processes and systems from the grassroots, not only to best attract, onboard, and retain talent across job functions but to also keep the HR engine well-fuelled to drive towards organisational growth. AI has a big role to play here.

AI helps HR teams wear the safety mask first

In the post-pandemic era, AI is no longer a fringe technology in the HR space. With a solid combination of automation, AI and data-led platforms, HR teams can now do more with less. This is especially true when they are dealing with repetitive tasks or data entry-based work that chip away at productivity and morale such as updating employee records, sending welcome notes, preparing feedback analysis, account setups, sending reporting reminders, and scheduling meetings.

The investment in data analytics, AI and ML and incorporating them into the onboarding processes are paying high dividends by automating manual work and keeping HR teams focused on qualitative tasks in all areas of talent management – hiring and onboarding, employee engagement and experience. In fact, 24% of businesses have begun to use AI for talent acquisition, with 56% of managers planning to implement automated technologies sooner than later.This is because AI brings tangible benefits like speed, accuracy, and consistency to the employee onboarding processes.

AI for Employee Experience

First impressions last! A survey by a global staffing firm, Robert Half revealed that around 28% of candidates back out after accepting an offer letter. One of the primary reasons for post-acceptance offer backouts is the lack of engagement among the new hires with the organization. AI-powered digital onboarding is a way to improve employee engagement and offer personalized onboarding experiences that center around a more thorough understanding of the organisation, its cultural core and the job expectations. This ensures that an employee is set to succeed from Day 1. A good onboarding experience can also increase productivity by 70%.

AI use cases in onboarding to stay ahead of the curve

  • Hiring and verification

AI sourcing helps attract the right talent by referring to hundreds of databases in a short amount of time while also overcoming human errors, which ultimately leads to higher performance, lower attrition, and a better ROI. Not only that, but AI helps in real-time verification of employees with the help of technologies like image recognition and biometric authentication. AI-powered verification reduces onboarding TATs and improves the onboarding experience by reducing dependencies on multiple follow-ups, physical documents and presence.

  • Documentation, data analytics and security

Data can be generated through multiple sources. However, this data needs to be processed and structured to fetch useful information out of it. An AI-enabled document management system helps businesses leverage this data by automatically analyzing files and tagging them to relevant information. AI-powered document management systems offer enhanced document security by detecting the sensitive as well as personally identifiable information so that a user can handle the information carefully.

  • Training and development

Personalised training experiences catering to learning objectives, learning styles and pace of employees can lead to adaptive learning, helping both learners and the company operate more efficiently. AI-based learning platforms can understand learning materials and preferences of the employee, delivering training material on-demand and offering a thorough understanding of an employee’s progress, their challenges and their strength areas.

  • Employee support and engagement

Every new employee has many questions and answering them individually can be overwhelming. AI-backed query chatbots help HR teams address these and offer insights around FAQs. These insights can be used to take conclusive action around processes that might be generally complex.

  • Onboarding fraud detection

Employee moonlighting has become common due to virtual hiring and remote work. To keep a check on this and save an organisation from low productivity, abuse of company resources, conflict of interests, and possible data leakage, incorporating AI technologies like facial recognition and liveness detection into the onboarding programs can help.

Conclusion

To stay ahead in the war for talent, a well-defined onboarding process can take HR teams very far. However, the exact implications can vary for different industries and types of organizations. The important thing to remember is to look at AI as a long-term strategy and start making a place for it, no matter what the existing technology infrastructure may look like. The best use cases of AI in HR see humans and technology working in tandem to drive towards organisational objectives – this might be the most important factor to consider for organisations looking to leverage AI.

Source:TimesofIndia