A recent report indicates that a significant portion of IT decision-makers, over 80%, use AI in some capacity to navigate the landscape of products and vendors for IT purchasing decisions. While not all rely heavily on AI for product research and recommendations, its application spans various phases of procurement, including vendor selection and even automating proposal creation. Notably, one company, 8×8, employs a generative AI model to assess the necessity of new IT offerings, while others, like Thrive and BlackLine, utilize AI to streamline evaluation processes and contract examination.
IT executives acknowledge the benefits of integrating AI in their workflows, which reduces the time needed for vendor assessment and aids in navigating the complexities of procurement. However, they maintain a critical stance, ensuring that AI-generated insights serve as recommendations rather than definitive decisions. For instance, while AI efficiently analyzes product documentation, aspects such as cultural fit and support quality are still evaluated by human decision-makers. As AI models evolve, organizations are looking to enhance capabilities to anticipate potential implementation challenges and improve supplier performance monitoring, ensuring a balanced approach to AI reliance in decision-making.
👉 Pročitaj original: CIO Magazine
