Make responsibility visible.

AI text provenance: what watermarks can and cannot tell marketers

Check the limited December 2026 AI marking transition

Check which existing AI systems qualify for the 2 December 2026 marking transition and keep other Article 50 transparency duties on their own schedule.

Review marketing agent access when roles change

Update marketing agent access after role changes by checking group membership, connected accounts, service credentials and scheduled tasks together.

Explain AI customer decisions without inventing reasons

Give customers grounded explanations of AI-assisted decisions, protect other people’s information and provide a practical route to correction and review.

Substantiate AI campaign claims before testing them

Build evidence into AI campaign production by checking numerical and comparative claims before variants enter experiments, localization or paid delivery.

Write a usable agency policy for client data in AI

Set practical agency rules for client data in generative AI, with approved environments, permission checks, escalation routes and onboarding examples.

Audit who your AI lead scoring system overlooks

Review overlooked prospects in AI lead scoring, distinguish historical bias from real qualification signals and plan a privacy-aware outcome audit.

Make CRM deletion requests reach connected AI tools

Trace a deletion request across your CRM, AI retrieval stores, exports and vendors, verify the result and document any lawful retention exceptions.

Document what EU hosting proves in an AI privacy review

Write a scoped AI privacy decision that separates verified hosting facts from lawful-purpose, access and transfer assessments, with clear evidence and owners.

AI testimonials need a real customer behind them

Verify customer experiences before publishing AI-assisted testimonials, preserve the original statement and distinguish a fictional example from evidence.

What the EU’s AI transparency icons actually show

Use EU AI transparency icons with the correct scope, placement and accessible wording, without presenting a voluntary visual tool as certification.

Track usage rights for AI campaign assets clearly

Build an asset-rights record for AI campaigns covering reference inputs, supplier terms, intended use and unresolved copyright questions before release.

Before customer chats become AI training material

Review the purpose, permission, minimization and retention of customer conversations before using them for AI marketing analysis, retrieval or training.

Set boundaries for sensitive AI targeting inferences

Inspect inferred audience attributes before AI personalization, remove unnecessary sensitive signals and review proxy risks with your privacy specialists.

Keep proof of who approved your AI campaign assets

Connect every AI campaign approval to the exact asset, supporting evidence and authorized reviewer, then verify that the approved version went live.

Stop webpages from redirecting your marketing agent

Test indirect prompt injection in a safe marketing workflow and apply practical controls to retrieved content, tool permissions and sensitive actions.

Negotiate accountable AI vendor contract obligations

Negotiate AI supplier responsibilities for processing instructions, data reuse, subprocessor changes, assistance and exit, with a named contract decision owner.

Review the lawful basis for AI lead enrichment

Evaluate an AI lead enrichment workflow through its purpose, data sources, necessity and notices before adding personal information to your CRM records.

Synthetic presenters need a clear permission brief

Plan synthetic marketing presenters with documented likeness and voice permissions, accurate scripts and clear disclosure decisions before production.

AI advertising labels and EU duties are separate

Compare Meta’s AI ad labels with EU disclosure duties, review the actual placement experience, and keep evidence for every campaign asset and market.

EU AI transparency rules for marketing teams in 2026

Review the EU AI Act duties affecting chatbots and campaign content, distinguish provider and deployer roles, and document the decisions before launch.