P2P

P E E R T O P E E R M A G A Z I N E · S P R I N G 2 0 2 6 67 without first classifying your content means you are building restrictions on a foundation you do not understand. You cannot define what the AI should and should not see if you have not first defined what content you have and what its sensitivity and busi- ness value are. You end up either over-restricting -- killing the util- ity of the tool -- or under-restrict- ing based on assumptions about your content that have never been validated. Tuning AI prompts to work around bad content is treating symptoms. If your document management system contains four versions of the same template and the AI is pulling the wrong one, the prob- lem is not the prompt. The prob- lem is that you have four versions of the same template. Adding review workflows on top of AI outputs addresses the quality concern but not the cost concern, not the security concern, and not the regulatory concern. You are still paying to process content that should not exist, you are still exposing content that should be restricted, and you still cannot answer the question of what your AI has access to. The AI layer is the wrong place to solve a content layer problem. And the content layer problem is information governance. THE FOUNDATION THAT SHOULD HAVE COME FIRST What does the remedy actually look like? It is not exotic, and it is not new. It is the same information governance program that the industry has under- stood for years, applied with urgency and with specific awareness of how AI changes the stakes. Start with a content inventory. You cannot govern what you cannot see. Before any AI governance policy has meaning, a firm must understand what content exists in its repositories, how it is classified, who owns it, and what its retention status is. This is not a technology project. It is a business process that technology supports. The output is not a database -- it is insti- tutional knowledge of what you have and why you have it. Implement retention and disposition. The single highest impact action a firm can take to improve AI output quality and reduce AI costs simulta- neously is to enforce retention schedules and dispose of content that has outlived its business and legal value. Every terabyte of ROT you eliminate is a terabyte your AI no longer processes, indexes, or returns in results. This is not theoretical. Classify for sensitivity and access. Information governance provides the classification framework that AI access controls require. When you know which content is privileged, which is subject to ethical walls, which contains PII, and which is client-confidential, you can build AI permission models that actually reflect the risk profile of your content -- not just the folder structure of your DMS.

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