Combating Tender Fraud: The Role of Artificial Intelligence in Enhancing Procurement Accountability

Authors

  • Abraham Hamman UWC

Keywords:

artificial intelligence, tender, fraud, public procurement, bid rigging

Abstract

Corruption remains pervasive in South Africa, particularly within the public tender sector. Millions of rand are lost each year, and in some instances, lives are endangered or even taken due to tender-related fraud. Reports frequently implicate government officials in procurement corruption, especially regarding the awarding of tenders. The reliance of the tender process on human participation and intervention creates a fertile ground for corrupt activities. Given the substantial financial stakes and the broad discretionary powers often granted to officials, the temptation for corruption can be overwhelming. Tender fraud frequently manifests through schemes such as bid rigging, bid splitting, and collusion. Often, legitimate bids are rejected in favour of entities preferred by officials. There are documented cases where individuals, acting as members, directors, or shareholders of certain companies, falsely claim to represent different entities in order to manipulate bid prices and ensure that their favoured companies secure contracts. This article proposes exploring an innovative approach inspired by reforms introduced by the Albanian Minister of State for Artificial Intelligence, where Artificial Intelligence (AI) plays a central role in automating and managing public processes. By reducing or removing the human element in critical stages of the bidding and tender process, AI could enhance fairness, transparency, and accountability. It is acknowledged, however, that AI is not a magical solution that will instantly eradicate corruption and tender fraud. AI systems may also present challenges, including limited oversight, potential algorithmic bias, and the risk of producing unsatisfactory outcomes if poorly designed or improperly monitored. Nevertheless, a holistic consideration of the issue is essential. Given the scale and persistence of corruption, there must at least be an effort to adopt tools capable of making a meaningful impact. The deployment of AI in public procurement offers a powerful opportunity to curb and, potentially, eliminate tender fraud. This article argues that such technological interventions should be seriously explored as part of a broader strategy to combat this enduring and destructive problem.

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Published

2026-03-16

How to Cite

Hamman, A. (2026). Combating Tender Fraud: The Role of Artificial Intelligence in Enhancing Procurement Accountability. Journal of Anti-Corruption Law, 9(2), 225–283. Retrieved from https://epubs.ac.za/index.php/jacl/article/view/3215