LearnWize EU AI Act Transparency Sprint
Article 50 affects many marketing and product teams from 2 August 2026. Map the right duty by role.
Your marketers, communications team, and product owners already create content, chatbots, and campaigns with AI. Article 50 assigns different duties to providers and deployers. LearnWize helps teams identify and substantiate the right rules for direct AI interaction, machine-readable marking, emotion recognition, biometric categorisation, deepfakes, and certain public-interest text.
No generic awareness session. A demonstrable path from scan to role-based training, testing, and a dossier that supports Article 50 transparency.
AI transparency evidence
What you have after the sprint
- Overview of AI content and channels that trigger transparency
- Role and channel matrix for disclosure and labeling
- Activated learning paths for marketing, comms, and product
- Scenarios: chatbot, deepfake, synthetic media, AI text
- Certificates and completion/test results
- Management report and refresh advice
2 Aug 2026
Article 50 transparency is applicable law
Per role
training aligned to marketing, comms, and product
Scenario proof
labeling and disclosure tested in real cases
Dashboard
progress visible for marketing, comms, and Legal
The challenge
High-risk is moving. Transparency affects many AI teams from 2 August 2026.
Regulation (EU) 2026/1744 moves most standalone high-risk duties under Annex III to 2 December 2027. Article 50 remains directly relevant to marketing, communications, and product from 2 August 2026, but the exact duty differs between providers and deployers.
Do users know they are talking to a chatbot?
As a deployer, do you disclose deepfakes when paragraph 4 requires it?
Is AI-generated text of public interest recognizable?
Do you inform on emotion recognition or biometric categorization?
Who creates the AI content?
Does that team understand the disclosure duty?
Where is the evidence that they apply it?
Article 50 context
Article 50 contains several transparency duties. Providers must inform natural persons about direct AI interaction unless this is obvious from the circumstances, and providers of generative systems must mark synthetic outputs in a machine-readable format. Deployers inform exposed persons about emotion recognition or biometric categorisation. They also disclose deepfakes and certain AI-generated or manipulated public-interest text, subject to the exceptions and modalities in paragraph 4. Regulation (EU) 2026/1744 gives only providers of relevant Article 50(2) systems placed on the market before 2 August 2026 until 2 December 2026 to comply with that machine-readable marking duty.Deepen your route
From Transparency Sprint to concrete disclosure routes.
Use these routes for the questions that usually follow the scan: chatbot disclosure, deepfake labeling, AI content transparency, and training for marketing and communications teams.
Article 50 transparency training
Article 50 applies from 2 August 2026. Train marketing, communications, and product teams on chatbot disclosure, deepfake labeling, and AI content transparency, with evidence per role.
View routeChatbot disclosure obligation
Article 50 requires people to know when they are talking to a chatbot. Train the teams behind your chatbots and make the disclosure demonstrable.
View routeDeepfake disclosure EU AI Act
Plain-language summary of the EU AI Act deepfake disclosure duty: what counts as a deepfake, who must label from 2 August 2026, machine-readable marking, exceptions and how to make compliance demonstrable.
View routeAI content transparency
Determine by actor and use case which Article 50 duty applies to chatbots, machine-readable marking, deepfakes, public-interest text, and certain biometric uses.
View routeCopilot AI literacy
A role-based literacy route for teams rolling out Microsoft Copilot or similar workplace AI.
View routeAI literacy evidence
How to make AI literacy demonstrable for HR, Legal, Compliance, IT, and management.
View routeThe offer
From loose AI content to demonstrable transparency.
The EU AI Act Transparency Sprint connects each channel to the role as provider or deployer, the applicable duty, the learning action, and the available records. You can show which teams addressed which Article 50 duty and what evidence is available.
Transparency Readiness Scan
We map your AI content, chatbots, channels, and priority teams. Output: an overview of where disclosure and labeling apply, team priorities, and the path to demonstrable transparency.
Content and channel register
We register where AI touches content, chatbots, and synthetic media, then determine whether you act as provider or deployer. Output: a register with the applicable information, marking, or disclosure duty per channel, or a finding that no specific Article 50 duty was identified.
Role and channel matrix
We translate AI use into marketers, communications teams, and product owners. Not everyone has the same duty because not everyone creates the same content or chatbot.
Learning paths per role
Marketing, communications, and product complete relevant LearnWize training on chatbot disclosure, deepfake and media labeling, AI text of public interest, and explainable AI use.
Realistic case exercises and testing
Teams practice realistic situations: an AI chatbot on the site, a generated ad visual, a synthetic voice-over, AI-written newsletters, and spokesperson content.
Certificates and team dashboard
Marketing leads, comms, product, and Legal get visibility into participation, progress, completion status, results, and certificates.
Transparency evidence
At the end, we deliver a practical dossier for internal review, leadership, compliance, customer questions, and vendor due diligence around Article 50.
The method
S.C.A.L.E. makes transparency repeatable.
S
Scan
Map AI content, chatbots, channels, and teams.
C
Classify
Connect channels to the right Article 50 duty and roles.
A
Activate
Launch the right LearnWize training for each team.
L
Lock
Test disclosure and labeling with cases, quizzes, and certificates.
E
Evaluate
Deliver reporting, evidence dossier, and refresh advice.
Result after 30 days
You do not just have a transparency story. You have an evidence dossier.
- Overview of channels, roles, AI content, and disclosure duties.
- Role-based training aligned to marketing, communications, and product.
- Measurable progress for marketing, comms, Legal, and leadership.
- Evidence for board questions, customer questions, audits, and internal governance.
- A repeatable model you can scale to the next teams.
Packages
Start small. Scale after proof.
Pilot Sprint
For 1 marketing or communications team
25-50 users | 30 days
- Transparency Readiness Scan
- Role and channel matrix
- Learning paths and case exercises
- Certificates, dashboard, and evidence dossier
- 30-minute management debrief
Four firm guarantees
We carry the risk of the sprint, not you.
No vague refund promise, but four concrete commitments that each address a different buyer concern. So you know upfront what you get, when it lands, and that it holds up under scrutiny.
1
Fixed scope
The deliverables we agree are the deliverables we ship. No scope drift afterwards.
2
Delivery guarantee after scope freeze
If the engagement runs late due to our execution, we keep working at no extra cost until the evidence dossier is on the table. The clock starts after kickoff and scope freeze.
3
One-time rework guarantee
If a reviewer, auditor or legal adviser raises reasonable questions about the structure, completeness or explainability of our deliverables, we incorporate that feedback once, at no cost, within scope.
4
No vendor lock-in
All data, certificates and evidence are yours. No hidden licences, no exit fees, no dependency on us after the sprint.
Sprint bonuses
- Disclosure Playbook with sample copy for chatbots, ads, and synthetic media
- Article 50 transparency evidence checklist for marketing and communications
- Case Pack with examples: chatbot, deepfake campaign, AI text, and AI voice-over
- Refresh Rhythm for updates after new AI tools, campaigns, policies, or role changes
- Phase-2 rollout advice (from pilot team to all content creators)
FAQ
Frequently asked questions
When does Article 50 apply?
The Article 50 transparency duties apply from 2 August 2026. Regulation (EU) 2026/1744 gives providers of systems that generate synthetic audio, image, video, or text and were placed on the market before that date until 2 December 2026 to comply with the machine-readable marking duty in Article 50(2).
Is this legal advice?
No. The sprint is a practical implementation and evidence route for transparency. Formal legal advice or a compliance opinion should be reviewed separately.
We only run a chatbot and some AI visuals. Which Article 50 duties may apply?
That depends on your role and use case. A chatbot provider has an information duty under paragraph 1 for direct AI interaction unless this is obvious. A provider of a generative system marks synthetic output in machine-readable form under paragraph 2. A deployer does not face a label duty for every AI visual: paragraph 4 covers deepfakes and certain public-interest text, among other scoped cases. The scan maps those actor and scope differences.
Where do we begin if we lack a clear overview?
Start with the Transparency Readiness Scan. That shows which channels and teams need priority, which learning paths are needed, and what evidence already exists.