Here is the honest situation. Here is the honest situation. The EU AI Act's transparency obligations are not the high-risk regime, and that is exactly why they catch people out. They attach to what a system does, so an ordinary chatbot, a consumer image generator or a published synthetic video can owe a duty while the product sits comfortably outside the high-risk category. They split across the value chain, with marking of generative output landing on the provider and disclosure of a particular use landing on the deployer, so an organization that both builds and uses AI wears both hats and has to implement each duty where it lands. Doing that well means marking synthetic audio, image, video and text so the mark is machine-readable and detectable by someone other than you, combining an in-content watermark with signed provenance metadata, and documenting the limits honestly rather than repeating a vendor's unremovable claim. It means disclosures that are clear, timely and accessible instead of a line inside terms nobody opens. Where teams fall short is predictable: a screening question never asked, a marking specification that covers images but not text or audio, a disclosure that arrives after the interaction, and an evidence file that proves intent rather than operation.
This Kit removes the guesswork. It is AI Act transparency compliance written as adopt-ready controls you personalize in a weekend, with the evidence a reviewer examines.
What you get, the moment you buy
Grounded in the AI Act text and current implementation practice. Editable Word and Excel files.
What one control looks like
This is the opening control, where the programme begins. All 18 are built to this depth.
Why this is not another template pack
- The evidence is the point. A control you cannot evidence is a gap waiting to be found. This tells you what a reviewer examines and where teams fall short, for every control.
- The AI Act specifics built in. The Article 50 categories, the provider and deployer split, machine-readable and detectable marking, watermark and provenance together, disclosure timing and accessibility, and versioned audit-trail evidence are written into the controls, not left generic.
- Built on real practice, not one person's opinion, grounded in how transparency implementations actually hold up and where they actually fail.
- It compounds. This work shares its shape with AI governance, data protection and product assurance frameworks, so it feeds your wider programme.
Who buys this
Compliance, legal and AI governance leads who carry the transparency obligation on an EU-facing AI product, and the product and engineering owners of the chatbots, generative features and publishing workflows around them. Whether you are screening a product for the first time or hardening an existing implementation, you save weeks and walk in with your scope, marking, disclosure and evidence controls structured.
Common questions
Is it really editable? Yes. Word and Excel files you own and adapt. No portal, no subscription.
Does it cover the technical marking work? Yes. The marking specification, the in-content watermark paired with signed provenance metadata, interoperable and externally verifiable detection, and honest documentation of robustness limits each have their own control with its own evidence.
Does it separate provider duties from deployer duties? Yes. Role allocation is its own control, and each obligation is written so you can record whether it lands on you as the builder or as the party putting the system to use.
What if it is not for me? A 30-day money-back guarantee.
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