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&lt;/script&gt;</html><description>Beware of AI Without Expertise AI is becoming ubiquitous in animal health, from diagnostics and market analysis to due diligence and fundraising. But its value&#x2014;and its risk&#x2014;depend heavily on who is using it. Experts rarely accept the first AI-generated answer. They challenge assumptions, test conclusions and iterate. Without that expertise, a polished output can too easily be mistaken for a reliable answer. A recent lawsuit involving an Oregon veterinary hospital and an alleged misdiagnosis by an AI diagnostic tool illustrates the issue. Whatever the eventual outcome of the case, it raises an important question: when AI contributes to a recommendation, who is responsible for validating it? That answer applies whether interpreting diagnostics or advising on strategy, the professional remains responsible for the recommendation. At Brakke, we are applying that principle to a program helping animal health startups and growth companies prepare for fundraising. AI can organize diligence materials, build checklists, identify documentation gaps and manage much of the preparation process. That can significantly reduce the number of expensive consulting hours required. But it does not eliminate the need for expertise. It allows experienced advisors to spend their time where judgment creates the most value: positioning, priorities, investor expectations and identifying the questions management may not know to ask. AI may reduce the cost of expertise; however, it should not reduceView Full Post;</description></oembed>
