The new EU AI Act brings hefty fines of up to €35 million or 7 % of worldwide revenue, making regulatory readiness a top-priority for every organisation that deploys artificial intelligence. At the same time, the International Day for Universal Access to Information reminds us that data must be reachable by everyone, including people with disabilities. Both trends converge on a single requirement: firms must be able to prove, not just store, how risks are identified, evaluated and resolved.
In practice, the challenge is less about missing data and more about stitching together evidence that lives in disparate systems—email archives, monitoring tools, case-management platforms, and retention stores. When a regulator asks for the full story behind an alert, the answer must flow from a single, defensible chain rather than a patchwork of isolated logs.
Demonstrating AI risk controls under the EU AI Act
Compliance teams are now expected to show the life-cycle of a risk: the moment an anomaly is flagged, the review that follows, the decision to escalate and the final supervisory outcome. Simple counts of alerts or investigations are insufficient; regulators need to see how each step was performed and why it mattered.
From alerts to audit-ready records
Many organisations have mastered basic communication capture, yet the next level—linking alerts, reviews, investigations and outcomes—remains fragmented. Communications may sit in a messaging platform, surveillance workflows in a separate case-tool, and final decisions in a document repository. This silos-based architecture makes it hard to reconstruct the evidentiary trail when a regulator requests proof months later. A unified governance layer that automatically correlates an AI-generated warning with the reviewer’s notes, the escalation log and the retention policy is what transforms monitoring into a compliance asset.
Operational visibility versus data capture
Capturing data is only half the battle; organisations must also attain operational visibility. This means knowing where each piece of information resides, how it moves through the workflow, and which controls were applied at each stage. When visibility is high, investigations finish faster, manual validation drops, and the risk of an “operational readiness nightmare” disappears.
Universal access to information and disability rights
September 28 marks the International Day for Universal Access to Information, a reminder that the right to know is meaningless if the content cannot be reached or understood. Article 19 of the Universal Declaration of human rights guarantees the freedom to seek and receive information, but the Convention on the Rights of Persons with Disabilities (CRPD) translates that promise into concrete obligations.
Human-rights treaties that mandate accessibility
The CRPD sets clear standards: Article 9 obliges states to ensure accessibility of information and communication; Article 21 requires public data to be offered in formats such as Braille, plain language, sign language and assistive technologies; Article 29 links accessible information to effective political participation; and Article 30 extends the duty to cultural and media content. Together they make accessible information a legal requirement, not an optional service.
The gap between available and accessible data
UNESCO’s review of 132 access-to-information laws found that only 37 countries explicitly mention people with disabilities, and many statutes lack enforceable accessibility standards. Consequently, a government website may publish an urgent health alert, yet a blind user cannot read it without screen-reader support, and a deaf person cannot follow a video lacking captions. This disconnect turns a formal right into a practical barrier, forcing families to act as intermediaries and undermining personal autonomy.
When artificial intelligence powers content creation, the stakes rise. AI can generate text summaries, image descriptions and translations, but without accessibility-by-design principles it can also amplify exclusion. Ensuring that AI-driven tools respect the same accessibility obligations outlined in the CRPD is essential for a truly inclusive information ecosystem.
