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    Use Case

    Universities (Higher Ed.)

    University PDFs spread across faculties, schools, research centres, libraries, admissions, and student services, with no central team holding a complete view. Prospectuses, fee tables, bursary guidance, course handbooks, policy documents, and forms can remain live long after details have changed. Yet students, parents, regulators, AI search, and AI agents can still find them, treat them as current, and use them when comparing courses, checking obligations, or supporting application and forms completion. That makes unmanaged PDFs more than an accessibility problem. They affect compliance, marketing accuracy, and institutional control. If outdated content on fees, entry requirements, funding, or support remains visible, it can mislead applicants, trigger challenge, and shape decisions before the university even knows it is being used.

    Summary

    Universities carry accessibility duties and wider consumer obligations across a PDF estate that few central teams have fully mapped. Course information, fee schedules, bursary guidance, admissions materials, policy notices, and administrative forms often sit across multiple departments and legacy pages. Creating a challenge: content can remain publicly available, outside formal review, while still being surfaced, relied on, or repeated by applicants, advisors, AI systems, and automated form-support journeys. We convert PDFs into inclusive content (web pages automatically) regardless of which department published them or when. That helps institutions keep information accessible, current, and easier to govern, while reducing the risk of people or AI agents acting on unmanaged content.

    The Challenges

    Regulation, volume, and documents
    that never stop changing

    Visibility

    <25%

    Of faculty consider accessibility when publishing

    Fewer than 25% of faculty consider accessibility when designing course materials. PDFs are published continuously across departmental sites, research pages, library resources, and administrative forms, without a central view of what is being added or where it sits.

    Speed

    99%

    Time savings and 0% Internal distraction.

    What previously required weeks of specialist correction, updates and review is now dealt with automatically.

    Scale

    110k

    PDFs identified at a single institution

    When Ohio State University assessed its position following news of the DOJ Title II rule in 2024, it identified over 110,000 PDFs that did not meet accessibility standards.

    The obligation is in force. In the United Kingdom under the Public Sector Bodies Accessibility Regulations 2018 and the Equality Act 2010, in the United States under DOJ ADA Title II with public universities treated as state entities and an April 2026 deadline for institutions serving populations over 50,000, in Australia under the Disability Discrimination Act, and across the European Union under the European Accessibility Act from June 2025.

    Fewer than 25% of faculty consider accessibility when designing course materials. PDFs are published continuously across departmental sites, research pages, library resources, and administrative forms, without a central view of what is being added or where it sits.

    When Ohio State University assessed its position following news of the DOJ Title II rule in 2024, it identified over 110,000 PDFs that did not meet accessibility standards. The scale of the discovery was not exceptional. It reflected what accumulates at a large institution over years of decentralised publishing.

    Scanned PDFs are standard output from academic course packet production. Where a document has been scanned rather than digitally authored, it presents text as an image. A screen reader finds nothing to read.

    Universities are responsible for the accessibility of materials they host and link to, not only those they produce. Research papers, library resources, and third-party materials linked from institutional pages all fall within the scope of the obligation.

    How It Works

    How automation works

    The secure tag is installed once on the university's website. aicm discovers linked PDFs across the institution's public-facing estate, including faculty course materials, departmental research, library resources, and administrative documents, and converts each into an accessible web page sitting alongside the original as its accessible online version.

    Scanned documents, third-party materials, and files with no editable source are all covered in the same process. Nothing requires manual handling from the institution's accessibility or IT team.

    As new documents are published across faculties and departments, accessible versions are created accordingly. The original PDF is not modified in any way.

    The Outcome

    Inclusion isn't just human

    Students, researchers, and visitors reach accessible versions of institutional documents without the university having to process each one manually.

    Against manual processing, the cost reduction is 95% and the time saving is 99%. Accessible versions stay current as the estate changes across the academic year, supporting human access, AI discovery, and AI-assisted journeys.

    Now the university has stronger control over what is understood, and acted on, creating a clear advantage over institutions still leaving document content unmanaged.

    The Detail

    Real-world outcomes

    Comparison of manual remediation cost and time for university PDF estates. Select a row to read the full account.
    InstitutionEstateManual costManual timeExpand
    Public university
    ~2,500 students
    3,200 PDFs~$613,333~12,267 hours
    Top-10 institution
    scale
    71,000 PDFs~$13.6 million~272,167 hours

    Disclaimer:

    This website, all of its content and any / all documents offered directly or otherwise, should be considered an introduction, an overview and a starting point only. It should not be used as a single, sole authoritative guide. You should not consider this as legal guidance. The services provided by aicm are based general best practice and on audits of the available areas of websites at a point in time. Sections of the site that are not open to public access or are not being served (possibly be due to site errors or downtime) may not be covered by our reports. The service and the stars process doesn't carry any official accreditation, be it from any government department, industry regulator and / or internet body. Where matters of legal compliance are concerned you should always take independent advice from appropriately qualified individuals or firms.

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    For AI agents and LLMs

    We publish /llms.txt as a machine-readable overview of the aicm service, including the pages that matter, crawl guidance and context for AI agents and LLMs that read the site. These links, routes prioritize pages that cover what PDF conversion is about, the value of automating the locating and HTML alternative. Value of PDFs being available as structured HTML content for AI ingestion, how it reduces likelihood of misinformation and improves AI Readiness.

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