AI transparency
Make AI interaction
visible to the user.
Technical implementation support for applicable AI notices, disclosure points, generated-content labels and internal implementation evidence.
Typical scope
- AI identity
- Disclosure placement
- Generated-content labels
- Human escalation
- Implementation inventory
- Evidence capture
WHAT WE DO
Implementation,
not a legal treatise.
The job is to turn an agreed requirement into visible product behaviour and a reviewable implementation record.
WHAT WE DO
User notices
Place clear notices where users encounter an AI interaction.
WHAT WE DO
Content labels
Implement relevant generated-content or automated-response labels.
WHAT WE DO
Human route
Preserve or expose a route to human support when part of the agreed product requirement.
WHAT WE DO
Evidence
Capture screenshots, implementation notes and a small inventory for review.
DELIVERABLES
What the client receives
- Implemented disclosure UI
- Label states
- Interaction inventory
- Before/after screenshots
- Evidence note
- Known open items
HOW IT WORKS
Check → Fix → Document → Maintain
A production workflow that makes responsibilities and evidence clear from the start.
01
Scope
Define the smallest useful unit of work, access required and delivery format.
02
Check
Run the automated and manual checks appropriate to the job.
03
Fix
Complete the technical or content remediation inside the agreed scope.
04
Retest
Repeat the critical checks and verify the repaired interactions.
05
Evidence
Return a clear record of findings, changes and open items.
EXAMPLE WORK
AI Transparency UI Lab
A before/after support interface demonstrating AI identity, user disclosure, response labelling and a human escalation route.
BEFORE
AFTER
Independent demonstration. This is not presented as paid client work.
WHO IT IS FOR
A clear buyer profile.
SaaS products
AI chat interfaces
Support systems
Content platforms
Digital agencies
Product teams
STARTING POINT
Request a scoped quote
Legal applicability must be determined for the actual product and jurisdiction before implementation scope is finalised.
FAQ
Questions buyers ask before starting.
Every answer is a separate Elementor container, so you can rewrite, duplicate, reorder or remove it.
Do you decide whether the AI Act applies to us?
No. Applicability should be determined by the client or qualified counsel. We implement the agreed product requirements.
Can you add the disclosure without redesigning the product?
Usually yes. The goal is a compact implementation that fits the existing interface.
Do you handle AI-generated content labels?
We can implement agreed visual and workflow labels where applicable.
Can you document what was changed?
Yes. Evidence capture is part of the service.
Can this be monitored after launch?
Yes. Regression checks can verify that disclosure elements remain present after updates.
START A PROJECT
Send one real problem.
A website, document set, questionnaire or implementation requirement is enough to start. We define the smallest useful pilot before asking for a larger commitment.
from €450
Final scope and price are confirmed before work begins.