{"id":17873,"date":"2024-07-16T17:19:10","date_gmt":"2024-07-16T21:19:10","guid":{"rendered":"https:\/\/marktg.ai\/faq\/"},"modified":"2026-09-29T06:41:31","modified_gmt":"2026-09-29T10:41:31","slug":"faq","status":"publish","type":"page","link":"https:\/\/marktg.ai\/fr\/ressources\/faq\/","title":{"rendered":"FAQ (FOIRE AUX QUESTIONS)"},"content":{"rendered":"

RESOURCES<\/strong>   \u00b7   Overview<\/a>   \u00b7   White Paper<\/a>   \u00b7   Evidence Methodology<\/a>   \u00b7   Applied Evidence<\/a>   \u00b7   Test Deployments<\/a>   \u00b7   Current Thinking<\/a>   \u00b7   FAQ<\/a><\/p>\n<\/div><\/div><\/div><\/div><\/div>

mAI \u00b7 Frequently Asked Questions<\/p>\n<\/div>

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Questions about the mAI Framework, deployment, evidence and governance<\/h1><\/span>
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A concise guide to how marktgAI structures AI marketing systems, where Human Command applies, how deployment models differ, and how performance claims are evaluated.<\/p>\n<\/div>

Explore mAI Architecture<\/span><\/a><\/div><\/div><\/div><\/div><\/div>
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What is the mAI Framework?<\/h3><\/span>
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The mAI Framework is marktgAI\u2019s marketing intelligence architecture connecting enterprise context, the AI Marketing Brain, AI Marketing OS, Human Command, integrations and evidence-based measurement.<\/p>\n<\/div>

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What is the AI Marketing OS?<\/h3><\/span>
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It is the operating layer that connects Plan \u2192 Execute \u2192 Measure \u2192 Optimize across approved marketing workflows and systems.<\/p>\n<\/div>

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What is the AI Marketing Brain?<\/h3><\/span>
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It is the decision-support layer that applies approved organizational context and performance signals to analysis, hypotheses, recommendations, prioritization and learning.<\/p>\n<\/div>

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What is Human Command?<\/h3><\/span>
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Human Command defines the decisions, permissions, review points and approvals that remain accountable to people, especially strategy, brand-critical creative, material budget or audience changes, policy-sensitive actions and regulated content.<\/p>\n<\/div><\/div><\/div><\/div><\/div>

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What is Managed mAI?<\/h3><\/span>
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Managed mAI is the operating model where marktgAI helps run defined parts of the marketing lifecycle using the mAI Framework while material decisions remain subject to Human Command.<\/p>\n<\/div>

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What is Custom Enterprise mAI?<\/h3><\/span>
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Custom Enterprise mAI is for organizations requiring deeper company-specific context, integrations, deployment control, data-sovereignty considerations or governance requirements.<\/p>\n<\/div><\/div><\/div>

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Does marktgAI replace the existing marketing stack?<\/h3><\/span>
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Not by default. mAI is designed to work as an intelligence, orchestration and governance layer around approved analytics, CRM, advertising, content, email, social, commerce and automation systems where integration is appropriate.<\/p>\n<\/div>

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Does mAI guarantee performance?<\/h3><\/span>
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No. Productivity and Precision are measured against documented baselines and relevant KPIs. Case-study outcomes are modeled from illustrative scenarios. They are not client results, universal forecasts or guarantees.<\/p>\n<\/div><\/div><\/div><\/div><\/div>

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Is mAI automatically compliant with GDPR, CCPA, HIPAA or PIPEDA?<\/h3><\/span>
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No framework-level claim can establish deployment compliance. Applicable legal, privacy, security, residency, vendor, consent and regulatory requirements must be validated for the actual use case, jurisdiction and architecture.<\/p>\n<\/div>

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How are named-company mAI pages different from case studies?<\/h3><\/span>
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Named-company mAI Hub pages are illustrative public-context models unless explicitly stated otherwise. Case studies are modeled scenarios with modeled outcomes, not client results. The Evidence Methodology explains the distinction.<\/p>\n<\/div>

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How does marktgAI evaluate evidence?<\/h3><\/span>
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marktgAI separates demonstrations, observations, operating targets, modeled scenario outcomes and validated claims. Measurement definitions, baselines and attribution limits are made explicit before conclusions are generalized.<\/p>\n<\/div>

Review Evidence Methodology<\/span><\/a><\/div><\/div><\/div><\/div><\/div>
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Have a deployment-specific question?<\/h2><\/span>
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Start with your operating context, current stack, governance requirements and measurable objectives.<\/p>\n<\/div>

Start a Conversation<\/span><\/a><\/div><\/div><\/div><\/div><\/div><\/p>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":3,"featured_media":0,"parent":17877,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"100-width.php","meta":{"_acf_changed":false,"_yoast_wpseo_focuskw":"FAQ Intelligence Artificielle Marketing","_yoast_wpseo_title":"FAQ IA Marketing | R\u00e9ponses \u00e0 Vos Questions sur l\u2019Intelligence Artificielle","_yoast_wpseo_metadesc":"Trouvez les r\u00e9ponses \u00e0 vos questions sur l'IA et le marketing digital. 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