Globally, companies admit to making poor hiring decisions based on inaccurate background checks. Given the challenges in operations and limited mobility due to the pandemic, there are chances of rise in background check discrepancies.
Organisations are facing multiple constraints in carrying out an in-depth background check for new hires with traditional manual screening processes and have been left with limited options to conduct only preliminary checks or skip this altogether.
In the ever-evolving landscape of hiring and talent acquisition, making informed decisions is paramount. Employers seek not only to identify the best-fit candidates for their organisation but also to mitigate potential risks associated with a wrong hire.
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Watch Rohit Madan, as he emphasises the increase in employment frauds leading to the tarnishing of an organisation’s reputation and how employee background verification has become more critical today than before.
Rohit Madan, Partner, Deloitte India, highlights common inconsistencies in background checks, including previous employer and education verifications. He also emphasises the importance of verifying tenure, salary, skills, and responsibilities, as well as conducting thorough criminal checks and addressing issues such as fake degrees.
Rohit Madan, Partner, Deloitte India, walks us through a six-step process for handling discrepancies in background checks, from verification to documentation and conclusion.
Rohit Madan, Partner, Deloitte India, shares key insights into the importance of accuracy, speed, and consistency in background checks. He also highlights the challenges faced by organisations whilst undertaking manual methods of background verification.
Rohit Madan, Partner, Deloitte India, discusses how AI enhances accuracy, efficiency, and scalability in pre-employment background checks. He also explores how AI automates data collection, aids in fraud assessments through pattern recognition, and detects falsified documents effectively.