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AI compliance: what evidence your company should be able to show

In Cyrrus’s judgment, complying with an AI rule is shown with evidence and not only with a policy. This guide takes the obligations the EU AI Act documents and proposes what evidence to keep, separating what the text says from what is Cyrrus’s judgment.

AI compliance: what evidence your company should be able to show

What would an authority, a client or an auditor ask for if they asked how you govern the AI you use? This guide starts from what the EU AI Act documents and turns it into what evidence is worth having at hand.

A note: the articles cited are from the text consolidated as of July 27, 2026 published by the European Commission’s AI Act Service Desk, and what is said about AI literacy comes from the Commission’s questions and answers (both at the end, consulted in November 2026). The evidence column is Cyrrus’s judgment; it is not legal advice and does not say what applies to your company, which depends on its role and its systems.

First: are you a provider or a deployer?

Article 3 defines the provider as a natural or legal person, public authority or other body that develops an AI system, or has it developed, and places it on the market. The deployer is whoever uses an AI system under its authority, except in a personal non-professional activity. A company can be both depending on the system. The same article defines an AI system as a machine-based system designed to operate with varying levels of autonomy, that may exhibit adaptiveness after deployment and that infers, from the input it receives, how to generate outputs, such as predictions, that can influence physical or virtual environments.

Second: is any system high-risk?

Under Article 6, an AI system is high-risk when it is a safety component of an Annex I product, or is itself such a product, and the product must undergo third-party conformity assessment; or when it is listed in Annex III. An Annex III system is not considered high-risk if it poses no significant risk of harm, for example if it performs a narrow procedural task, but that exception does not apply if the system profiles natural persons.

Under Article 113 in its current version, the Annex III high-risk rules apply from December 2, 2027 and the Annex I rules from August 2, 2028. The full dates are in our guide to AI regulation.

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What the regulation documents and what evidence to keep

AI Act obligations and suggested evidence (the evidence is Cyrrus’s judgment)
ObligationArticleWhat the text saysEvidence worth keeping
AI literacy4Providers and deployers take measures to support the AI literacy of their staff and other persons operating or using AI systems on their behalfInternal record of training initiatives
Risk management9For high-risk systems, a risk management system established, implemented, documented and maintained, as a continuous iterative process throughout the lifecycleRisk register, decisions and dated reviews
Technical documentation11Drawn up before the system is placed on the market or put into service, kept up to date and containing at least the elements of Annex IVVersioned documentation with an owner
Record-keeping12High-risk systems must be technically capable of automatically logging events over the lifetime of the systemProof that logs are generated and where they are stored
Human oversight14High-risk systems are designed so that natural persons can effectively oversee them while in useDesignation of the people who oversee and their training
Quality management system17Providers of high-risk systems put in place a quality management system covering, among other aspects, a compliance strategy, data management, risk management, post-market monitoring and an accountability frameworkApproved manuals and procedures
Deployer obligations26Use the system per its instructions, assign human oversight to people with competence, training and authority, monitor its operation and keep the logs under their control for at least six monthsList of systems, owners, reviews and retained logs

Article 26 adds that deployers must inform workers’ representatives and the affected workers before using a high-risk system in the workplace, inform people subject to decisions supported by Annex III systems, notify the provider or distributor and the market surveillance authority without undue delay if they see a risk and suspend use of the system, report serious incidents immediately and cooperate with the competent authorities.

AI literacy: what the Commission clarifies

According to the European Commission’s questions and answers, Article 4 applies from February 2, 2025 and contains no strict requirements or mandatory trainings: it does not require guaranteeing a specific level of AI literacy for any person, nor a certificate, and the organization can keep an internal record of trainings and other initiatives. The Commission adds that relying only on instructions for use may be ineffective. National market surveillance authorities could impose proportionate penalties, with supervision and enforcement from August 2, 2026, and the regulation creates no criminal offences or right to compensation.

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Penalties and who decides

The regulation’s maximum fines are in Article 99 and we summarize them in the regulation guide. Which systems are high-risk, what role your company has and what applies to it are decisions that require legal analysis; this article does not make them for you.

What leadership needs to decide

Four decisions, from Cyrrus’s judgment. First, who builds and maintains the list of AI systems, with the company’s role in each. Second, who answers for the evidence in each row of the table. Third, how often it is reviewed and who approves it. Fourth, when to consult a legal adviser, before anyone outside asks for the evidence.

To choose what supports all this, read how to evaluate governance tools; to place yourself on a readiness scale, see the maturity model.

Jackson Bohorquez, CEO of Cyrrus Consulting Services
Jackson Bohorquez
CEO & Founder, Cyrrus Consulting Services

30 years in strategy and IT: Oracle consultant, IT leader at PepsiCo Latin America, Covidien and Coremar, and founder of Cyrrus in 2017. MBA, Universidad del Norte.

About the author
Published · November 2, 2026
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