Coveo’s guide on building vs buying AI search highlights the complexity of developing enterprise-ready solutions in-house compared to adopting a proven platform. Building requires heavy investment in talent, infrastructure, and ongoing innovation to manage challenges like scalability, security, relevance, and integration across channels. It often leads to longer timelines, higher risks, and slower adaptability. Buying, on the other hand, provides immediate access to a mature, secure, and continuously improving AI search ecosystem with prebuilt connectors, ML models, and compliance standards. This accelerates time-to-value, lowers costs, reduces risks, and enables businesses to focus on delivering superior customer and employee experiences .

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