AI IN PROCUREMENT
“ It creates opportunities for organised actors to identify common exposures in those systems and exploit them across multiple organisations,” says Greg.
“ The same is true on the government side. Organised actors identify potential exploits in various government programs to secure improper payments or benefits from those programmes.”
AI: Helping or hindering payment integrity? With fraud often being attributed to poor processes and controls, Greg says:“ We often don’ t know what we don’ t know. Thus, a robust AI-driven payment integrity solution does much more than detect fraud and other improper payments.
“ Organisations can also identify gaps or deficiencies in internal controls, which can then be remedied at the source to prevent future exploits.”
But before procurement can do anything with AI, it is important to remember,“ the better the quality of the data, the better the outcome will be,” explains Greg.
Before AI, data structure and quality were vital to getting good detection results, and significant effort was often required to get it there.
While AI provides some enhanced capabilities to perform on-the-fly data inference when the quality and completeness of the underlying data may be lacking, it is still important to take measures to get the best quality data.
“ When data is not centralised, however, the importance of performing accurate entity resolution becomes critical.”
Greg Henderson Senior Director of Risk, Fraud and Compliance Solutions SAS
104 September 2026