18th May 2026 - 2 min read
The Ministry of Finance (MOF) is building a new procurement system that uses artificial intelligence to flag suspicious transactions automatically, rather than waiting for audits or investigations to catch problems after they happen. The first phase rolls out next month, with the full system expected to be operational by the end of this year.
Public procurement, where the government buys goods and services, is funded by taxes, which means misused public funds come out of everyone’s pocket.
Rather than adding more manual reviews, the MOF is putting automated checks directly into how procurement transactions are processed. Enforcement agencies will have direct access to the data, and the system will flag unusual patterns as they emerge.
The MOF also acknowledges this is not a complete fix. Someone who follows the rules on paper while bending them in practice can still slip through. Ethics training and institutional discipline are planned alongside the technology to address that gap.
The MOF is also considering rewarding companies with strong compliance records through better scores in the tender evaluation process. This could help address the “Ali Baba” problem, where a company wins a government contract but hands the actual work to a different firm that ends up doing the job.
If you bid for government contracts, your documentation and subcontracting arrangements may come under closer scrutiny than before. If your processes are clean, you are unlikely to be significantly affected. If your company has relied on informal arrangements, you are more likely to show up in the system’s checks.
Measures aren’t fully in place yet. If the rules are drawn clearly, the system could catch problems that currently take years to surface, if at all..
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Christina writes about personal finance with an eye for making the complicated feel straightforward. She is drawn to the everyday money decisions people face and genuinely enjoys finding the clearest way to explain them. Between articles, she is probably napping, on a hiking trail, or terrorising her sister’s cats.
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