{"id":28547,"date":"2026-08-25T07:46:06","date_gmt":"2026-08-25T06:46:06","guid":{"rendered":"https:\/\/www.labrador-transparency.com\/?p=28547"},"modified":"2026-08-25T10:28:05","modified_gmt":"2026-08-25T09:28:05","slug":"making-board-disclosures-ai-legible","status":"publish","type":"post","link":"https:\/\/www.labrador-transparency.com\/en\/blog\/making-board-disclosures-ai-legible\/","title":{"rendered":"Making Board Disclosures AI Legible"},"content":{"rendered":"\t\t
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We now have incorporated what we learned into our advisory practice and the design system we use on every engagement.\u00a0Today, when we help a client prepare disclosure, we\u2019re thinking about the human reader and the algorithm running in the background. The goal is the same content and design telling the same story clearly to both.<\/span><\/p>

That\u2019s what this Thought Piece is about.\u00a0In the following examples, we are sharing some of the practical, specific things we\u2019ve learned, the kind of tips you can easily apply to board and governance disclosures in your next proxy statement to make them visually compelling and machine-readable.\u00a0<\/span>Every idea proposed here is something we build into our own project processes and is EDGAR compatible.<\/span><\/p>

If you\u2019d like a second opinion on where your own disclosures stand beyond these governance examples, we\u2019d be glad to help. We\u2019ll run a no-fee AI-readiness audit on your materials and hand you clear, actionable ideas with no strings attached. Just get in touch!<\/p>

It\u2019s been a professional thrill to accompany corporations toward better disclosure and stronger outcomes over these sixteen years, and we couldn\u2019t be more excited about what comes next.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t

\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\"Making\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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A complimentary review of
the AI Legibility of your disclosures<\/h2>\t\t\t\t<\/div>\n\t\t\t\t
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In January 2026, J.P. Morgan Asset Management replaced ISS and Glass Lewis with an in-house AI tool for its US proxy voting. In the Center for Audit Quality\u2019s July 2026 survey, only 2% of institutional investors said they do not use AI when reviewing company filings. Those tools read a document\u2019s text and data layer. They do not read pictures.<\/p>

What we do.<\/strong> We review your proxy statement, annual report, Form 10-K or sustainability report in the four ways an automated system does and compare the results. Where the methods disagree with one another, that disagreement is the finding. We work only from what is already public: no data, no system access, no time from your team.<\/p>

What you receive.<\/strong> A written report: what is already clear to AI, what is not, where the document could lead an automated reader to the wrong answer, and a prioritized table of fixes, with precise instructions on how to implement.<\/p>

The review is complimentary and carries no obligation. Reach out to Iain at poole.i@labrador-company.com<\/a> and we will do the rest.<\/strong><\/p><\/div><\/div><\/div><\/div><\/div><\/div><\/section><\/div><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Director Nominees Summary Table<\/h2>\t\t\t\t<\/div>\n\t\t\t\t
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Many proxy statements feature an at-a-glance table listing each nominee\u2019s biographical information, independence, and committee memberships.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t

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Board Composition, Tenure, and Diversity<\/h2>\t\t\t\t<\/div>\n\t\t\t\t
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A chart appearing just after the nominees table, intended to summarize the tenure distribution and diversity composition of the Board.\u00a0<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t

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The chart and image presentations are still a .jpg files because EDGAR leaves no alternative. Every value it displays also sits beside it as fully-searchable live text. Nothing is sacrificed visually, the graphic is an effective anchor for the reader skimming the page, and both human and machine readers can grasp the numbers.<\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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Because the legend is real HTML text rather than pixels, EDGAR\u2019s full-text search indexes it, a screen reader reads it aloud, an analyst can copy it straight into a spreadsheet, and an AI summarizing the filing quotes the actual figure instead of guessing at an image of a slice or block.<\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Board Skills Matrix \u200b<\/h2>\t\t\t\t<\/div>\n\t\t\t\t
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Many proxy statements feature an at-a-glance table listing each nominee\u2019s biographical information, independence, and committee memberships.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t

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Without a clear understanding of either names or datapoints, the matrix isn\u2019t useful. Although in some cases director biographies list skills individually, mitigating this issue, a machine-readable matrix conveys its meaning through row labels, the column headers, and marks, and if one (or more) are unreadable, the remaining one or two become worthless.\u00a0<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t

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  • The \u201cAfter\u201d matrix is set as a true HTML <table>, so intersections survive. Row label, column header and cell stay bound together, which makes the relationship between the data clear, preserving the communication objective of the matrix.<\/li>
  • Icons, although unreadable to AI, earn their place because they make a page easier and more pleasant for the human reader.<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t
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    Director Biographies<\/h2>\t\t\t\t<\/div>\n\t\t\t\t
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    The individual biography pages for each nominee, combining a rationale for nomination, career history, and a \u201ckey skills and expertise\u201d narrative.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t

    \n\t\t\t\t
    \n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\"Making\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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    \n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\"Making\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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    The result<\/b><\/h4>\t\t\t\t<\/div>\n\t\t\t\t
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    • Every fact resolves into a structured record \u2014 and, unlike prose, the same record can be built for all eleven directors and compared across companies.<\/li>
    • A machine can now compute tenure, career length and how recent the operating experience is. None of that was possible before.<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

      In our latest thought piece, we are sharing some of the practical, specific things we\u2019ve learned, the kind of tips you can easily apply to board and governance disclosures in your next proxy statement to make them visually compelling and machine-readable. Every idea proposed here is something we build into our own project processes and is EDGAR compatible.<\/p>\n","protected":false},"author":35,"featured_media":28597,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":"","_members_access_role":[],"_members_access_error":""},"categories":[65,67],"tags":[],"class_list":["post-28547","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-others","category-labrador-services"],"acf":[],"yoast_head":"\nMaking Board Disclosures AI Legible | Labrador Transparency<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.labrador-transparency.com\/en\/blog\/making-board-disclosures-ai-legible\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Making Board Disclosures AI Legible | Labrador Transparency\" \/>\n<meta property=\"og:description\" content=\"In our latest thought piece, we are sharing some of the practical, specific things we\u2019ve learned, the kind of tips you can easily apply to board and governance disclosures in your next proxy statement to make them visually compelling and machine-readable. 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