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Top 5 Use Cases of Intelligent Automation in HR in 2024

Human resource (HR) management is an important part of any business and involves many manual and repetitive processes. The adoption of AI and automation technologies in HR can bring significant benefits in terms of cost reductions and revenue increases. For instance, according to McKinsey, 40% of companies have been able to decrease their HR costs by more than 20% through the use of AI in 2020.

Intelligent automation, also known as cognitive automation or hyperautomation, which combines automation solutions such as RPA with AI techniques such as machine learning, NLP, computer vision, and conversational AI, can help companies automate end-to-end HR processes.

We list 5 use cases for intelligent automation in the human resources:

1. Recruitment

Screening resumes to eliminate unqualified candidates and creating a candidate shortlist can be a very time-consuming task if done manually. NLP-powered intelligent bots can:

  • Gather and screen resumes,
  • Compare applicant data with relevant job requirements and previously accepted applicant data,
  • Eliminate unqualified applicants,
  • Send emails to candidates according to their results.

Since it doesn’t work with predefined keywords and rules, AI-powered automation can reduce the number of false negatives and false positives, making the hiring process more efficient.

It is important to note that AI systems can be biased. Therefore, companies need to test and evaluate their automated recruitment tools to avoid biased hiring decisions.

2. Onboarding

Onboarding is an important process that impacts employee experience and retention. However, only 12% of employees believe their organization does a good job with onboarding. Intelligent automation can help companies streamline the onboarding process by:

  • Creating email addresses and user accounts for the tools used,
  • Granting access to required files or applications,
  • Sending relevant onboarding documents to the new employee,
  • Introducing them to the tools they will be using.

These can help companies reduce the time spent on manual onboarding tasks, quickly familiarize new employees with the company, and provide a more personalized onboarding experience.

You can also check our article on onboarding automation.

3. Travel & expense management

Travel and expense management is a repetitive and error-prone process that poses compliance risks due to potential issues such as missing receipts and non-compliant expenses. OCR-enabled intelligent automation can:

  • Collect employee travel expense receipts,
  • Extract the required data from receipts,
  • Cross-check individual expenditures against company and external expenditure regulations,
  • Complete payments or request approval of items that do not comply with expense policies.

Feel free to check our article on travel and expense automation for more.

4. Payroll processing

Accurate payroll processing is critical for employee satisfaction, but the process involves error-prone tasks such as calculating commissions and overtime. Intelligent bots can reduce the time spent on processing payrolls and reduce errors by:

  • Collecting clock-in and clock-out data of employees from login platforms,
  • Recording overtime and adjusting the compensation accordingly,
  • Calculating commissions based on the company’s commission rules,
  • Generating reports on different payroll statistics for data-driven decision-making.

For more, feel free to check our article on payroll automation.

5. Offboarding

Similar to onboarding, offboarding an employee also involves tasks that can be automated with intelligent bots to improve efficiency and employee exit experience, such as:

  • Generation of exit documents,
  • Revoking access to company systems,
  • Conducting exit surveys,
  • Processing final payments and ensuring that departing employees no longer receive payment.

You can check our article on offboarding automation for more.

For more on HR automation

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Feel free to explore intelligent automation use cases for your business in our comprehensive article on intelligent automation examples.

You can check our data-driven list of intelligent automation solutions. If you need help in choosing a solution, we can help:

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Access Cem's 2 decades of B2B tech experience as a tech consultant, enterprise leader, startup entrepreneur & industry analyst. Leverage insights informing top Fortune 500 every month.
Cem Dilmegani
Principal Analyst
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Cem Dilmegani
Principal Analyst

Cem has been the principal analyst at AIMultiple since 2017. AIMultiple informs hundreds of thousands of businesses (as per similarWeb) including 60% of Fortune 500 every month.

Cem's work has been cited by leading global publications including Business Insider, Forbes, Washington Post, global firms like Deloitte, HPE, NGOs like World Economic Forum and supranational organizations like European Commission. You can see more reputable companies and media that referenced AIMultiple.

Throughout his career, Cem served as a tech consultant, tech buyer and tech entrepreneur. He advised businesses on their enterprise software, automation, cloud, AI / ML and other technology related decisions at McKinsey & Company and Altman Solon for more than a decade. He also published a McKinsey report on digitalization.

He led technology strategy and procurement of a telco while reporting to the CEO. He has also led commercial growth of deep tech company Hypatos that reached a 7 digit annual recurring revenue and a 9 digit valuation from 0 within 2 years. Cem's work in Hypatos was covered by leading technology publications like TechCrunch and Business Insider.

Cem regularly speaks at international technology conferences. He graduated from Bogazici University as a computer engineer and holds an MBA from Columbia Business School.

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