AI & Risk Management

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The utilization of artificial intelligence to manage risk is especially helpful when handling and evaluating unstructured data. Recently, Dun & Bradstreet notified details and accessibility of D&B Compass, which is their new third-party risk management solution that is being fueled by artificial intelligence that permits for extensive due diligence and monitoring of all levels of client, supplier, and third-party connections.

According to a 2018 Dun & Bradstreet study of procurement and compliance specialists, it was reported that client/vendor due diligence and open-ended supplier/vendor monitoring were among their prime concerns, yet many businesses have struggled to execute automation in their third-party risk programs to help oppose these issues.

According to experts, organizations are still striving to glean real insights because their data is dispersed out, housed in different systems across the company. Employing automatic solutions that manage data and workflow to observe and report problems can save businesses time and money, which can eventually lead to more profitable growth.

The delay in automation adoption by organizations may be rooted in some problems, ranging from complexity integrating systems after mergers or acquisitions, to a lack of constant data. The complications in successfully collecting and screening third-party data recommence to grow, but it is essential for more in-depth due attention. Over half of poll respondents stated that their organizations had been subjected to fraud recently, with many indicating failures of their monitoring tools to identify changes in entities as a grantor. Harnessing business insights are frequently important for acquiescence and procurement professionals to accommodate mitigating risk to their reputations and can be accomplished by implementing a single, programmed workflow.

D&B Compass devises a seamless onboarding practice by working across data system arrangements to create aggregated opinions of third-party entities. Having close to a real-time, useful image of potential and present business relationships can empower companies to screen efficiently to onboard swiftly, and monitor objects wholly the entire lifecycle of a relationship. By recognizing cost savings and decreased time to onboard, companies can focus on scaling a manageable program to respond to the changing business landscape and ordinances.