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The Hard Truths of Implementing Generative AI in Business
In the rush to adopt generative AI, many businesses overlook a crucial truth: the real value lies not in simply integrating the latest technology, but in understanding and addressing specific business challenges. As companies race to implement large language models (LLMs), they often face the hard realities of their unique operational needs, which generic tools may not adequately meet.
The journey of building bespoke AI solutions, as experienced by Sansan, highlights the importance of a first-principles approach. By combining technical expertise with a deep understanding of business realities, organizations can create tailored systems that not only match but exceed the capabilities of existing solutions. This requires a shift from passive inquiry to active demonstration, showcasing the potential of AI through concrete applications that resonate with specific business units.
Ultimately, the future of enterprise AI will belong to those who are willing to invest in custom solutions, fostering collaboration between technical and business teams. As we look ahead, the question remains: are you ready to embrace the complexities of building AI that truly addresses your organizations needs?
Original source: https://technode.global/2025/10/03/the-hard-truths-of-putting-generative-ai-to-work/