<ul data-eligibleForWebStory="false"><li>Companies are increasingly measuring the number of AI features released rather than their impact, leading to unnecessary and ineffective AI implementations.</li><li>Clients often demand AI features without understanding their actual value, viewing AI as a 'magic pill' for business efficiency.</li><li>Effective AI implementation requires companies to deliver real value and use AI features correctly to maintain customer trust.</li><li>Examples of failed AI implementations in enterprise software show the importance of considering deep contextual data and understanding of user needs for successful AI integration.</li></ul>

AI in Traditional Enterprise Software

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