Assess AI maturity
AI Marketing Maturity Framework
The AI Marketing Maturity Framework describes five levels of AI use in marketing, from individual experiments to an AI-native marketing system, and assesses an organisation on eight dimensions: strategy, people and skills, data, technology, content, automation, measurement and governance.
The model
- 1ExploringIndividual experimentation.
- 2AssistedAI helps with isolated marketing tasks.
- 3IntegratedAI is embedded in repeatable workflows.
- 4AutomatedMultiple marketing processes run automatically.
- 5AI-nativeAI, automation, data and human oversight work as one marketing system.
Developed by Markaigen · Updated
What each part means
- Strategy
- Whether AI use follows a plan with goals and budget, or happens wherever someone is curious.
- People and skills
- How many people can brief, check and improve AI output, and whether training is organised.
- Data
- Whether the data AI needs is available, clean, documented and allowed to be used.
- Technology
- Whether tools are chosen, connected and licensed for the team, or scattered across personal accounts.
- Content
- Whether brand voice, review and provenance rules exist for AI-assisted content.
- Automation
- How many processes run with AI steps, and how much human handling remains.
- Measurement
- Whether AI effects are measured against a baseline, or assumed.
- Governance
- Whether owners, policies, disclosure and risk controls are in place and used.
How to use it
- Rate each dimension honestly; the lowest dimensions hold the whole system back.
- Read your level as a starting point, not a grade: the value is in the next steps.
- Repeat the assessment every six months and keep the results to show progress.
Take the maturity assessment
Rate each dimension. The result shows your overall level, your weakest dimensions and what moves you to the next level.
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