Sprinklr states use of generative and agentic AI in products may face deployment issues, customer reluctance and legal risks.
“The use of AI, including generative and agentic AI, in our products and services may be difficult to deploy successfully due to operational issues inherent to the nature of such technologies, including the development, maintenance, and operation of deep learning datasets. Further, some of our customers, especially those in highly regulated industries, may be reluctant or unwilling to adopt AI and/or generative AI products or may be unwilling to do so without significant commitments from us or until after completing thorough, resource-intensive due diligence. Accordingly, adoption of generative AI features in our products and marketing our products as AI-native, AI-based, or generative AI-powered products could reduce or delay customer adoption. For example, AI and generative AI tools use machine learning techniques, including, but not limited to, algorithms, natural language processing, and/or content creation, which, depending on the model and the intended use case, may lead to flawed, biased, unexplained, and inaccurate results or outputs, which could lead to customer rejection or skepticism of such products or even potentially claims against us arising from customer reliance on erroneous or infringing outputs to its detriment. Emerging ethical issues surround the use of AI and generative AI, and if our deployment or development of AI and/or generative AI becomes controversial or is successfully and adversely challenged by our current or prospective customers, we may be sub”