AI IN PROCUREMENT
The difference? This intern is“ 24 / 7, doesn’ t take holidays, doesn’ t get sick, and can do work in a way that is a lot more systematic than even your best team members could ever do.” Sligo’ s strength is customisability:“ It’ ll give our client the ability to design their own agents and provide them with the tools that these agents need to actually perform the work.”
Confronting real risks Ironclad addresses accuracy directly:“ The concern – AI will extract incorrect information – is real and shouldn’ t be dismissed.” Contracting’ s structure allows mitigation through citations to specific clauses and page numbers.
Pierre is more scathing about generic tools, particularly for data categorisation.“ We’ ve trained machine learning algorithms and neural networks over the years – we can do the same thing in 40 seconds on a MacBook Pro with 96 % accuracy. But, the more important risk is consistency. If you run the same dataset on LLMs, you will get a different result.
“ The question is, do you think your buyers should be empowered with proper data or should they try to find what changed since last time?” Human oversight unites all perspectives. As Ironclad states:“ AI handles extraction, monitoring – humans maintain decision authority.”
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