AI : How its transforming Background Verification Process
Organizations across the globe now-a-days ensuring a background verification to find out if the employee they are about to hire has any criminal record or impersonating their identity. It has become a norm, though the process is still human dependent repetitive process. As with most such cases, Artificial Intelligence is being tried on this process to make it faster and more intuitive.
As with the case of most human dependant processes, it is prone to human errors. We humans tend to miss important information and in cases choose to ignore glaring indicators. This is where AI can make it more efficient, accurate and faster.
Some of the leading organization in US and across the world has already started using AI to transform Background Verification.
Here are 4 interesting developments that AI has contributed to the Background Check process.
Faster Delivery of Background Verification
Any process automation increases the speed of delivery. And with AI controlling the automation it becomes win-win for both employers and employee. As AI has its inherent capability to process large amount of data, it allows organizations to take better and faster decisions.
Reports that took humans to compile as much as ten days can now be done in an hours’ time using AI driven automation.
Managing Diverse Data Sources
Additionally, AI has the capability to connect and take advantage of data pools available across the connected world. The versatility of AI tools makes it easier to identify the right data pool available to find out the required data for an individual. It also can develop the capability of searching data kept in multiple languages, across different countries and in different formats.
For many humans involved in Background Verification, it’s a near impossible job to tackle such vast variety of data source. However, as AI tools has the capability to learn and advance its capabilities faster, it becomes just another task for it.
Managing Wide Ranging Risks
The competitive landscape of today’s business throws up a challenge of company and technology specific knowledge of individuals and related legal obligations. This raises the question of understanding the risk of hiring someone who has history of employment with a competitor. And organization needs to evaluate the depth of employment history with its competitor and the knowledge they carry that can breach non-compete legal regulation. While this might be a daunting task for most humans, AI can figure it out swiftly.
Reports: Up-to-date to Up-to-the-minute
Traditional Background Verification has several lacunas that are difficult to manage. The biggest of them is their lifespan. The information compiled in a traditional, human made background check report starts aging the moment the report in completed. On the other hand, a AI driven report, with continuous connection to worldwide data pools, is continuously assessed, analysed and updated. The age of the report is no longer dependent on the person who compiles the report, but update made on any related dataset, anywhere in the world. This makes it possible to monitor risk factors related to any individual or organization on real-time and uncover red-flags as and when they occur to act.