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In today’s digital world, no organization can afford to be left behind. Artificial Intelligence (AI) plays a critical role in determining future-proofing and competitive advantage. But where does your organization stand on the AI maturity scale? Understanding where you stand is critical to making strategic moves that will help you continue to grow. Gartner’s AI Maturity Model provides valuable guidance for assessing this.
A company wants to raise its profile in the market but has no marketing experts in-house. Therefore, they want to find out how GenAI can help them market themselves better with limited knowledge and resources.
1. Awareness Stage: The First Steps
In the awareness phase, an organization begins to realize what AI can do. This is a phase of exploration and understanding without immediate implementation.
- Data & Technology: Companies at this stage are aware of AI, but have not yet actively experimented. They are considering how AI can add value in the future.
- People & Processes: There are no formal AI roles or processes, and employees have basic knowledge without specialized training.
- Ethical & Legal: The ethical and legal implications are recognized, but there is no concrete policy yet.
- Business value: The potential value of AI is recognized but not yet realized in concrete plans or applications
2. Active Phase: From Idea to Experiment
In the active phase, organizations go beyond awareness and start practical experiments and proof of concepts (POCs).
- Data & Technology: Companies are testing generative AI models and tools within specific contexts to identify and solve technical challenges.
- People & Processes: More people are being trained in AI, and the first AI-specific roles and teams are being created.
- Ethical & Legal: Guidelines for responsible AI use are beginning to form, and legal issues are being explored.
- Business value: AI is used to deliver specific results, with a focus on demonstrating tangible benefits to the organization
3. Operational Phase: AI in operation
At the operational level, AI applications are being deployed in production environments, leading to measurable business results.
- Data & Technology: AI is integrated with existing systems, and data management is optimized for high-quality results.
- People & Processes: AI teams are established, with formalized processes for AI development and management.
- Ethical & Legal: Governance frameworks are in place to ensure responsible use of AI, with a focus on transparency.
- Business value: AI drives operational efficiency and supports decision-making, leading to increased productivity and lower costs
4. Systemic Phase: Advanced Integration
At the systemic level, AI is deeply integrated into all business processes and plays a crucial role in continuous improvement and innovation.
- Data & Technology: AI applications are company-wide and the data infrastructure supports seamless operation.
- People & Processes: AI expertise is widespread and part of the organizational culture, with a focus on scalability. The organization encourages cross-departmental and cross-functional collaboration.
- Ethical & Legal: Thorough knowledge of ethical and legal impact of AI is a crucial part of the strong governance structure.
- Business value: AI contributes to strategic initiatives and delivers significant competitive advantages
5. Transformational Phase: The Driving Force Behind Innovation
At the highest maturity level, organizations are harnessing the full power of AI to revolutionize their business models.
- Data & Technology: Advanced AI technologies are deeply integrated, and real-time analysis and decision-making are possible.
- People & Processes: AI talent is at the highest level and AI is driving business transformation.
- Ethical & Legal: Organizations are market leaders in AI ethics and legality.
- Business value: AI delivers transformational business value and differentiates the organization from competitors.
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A company wants to raise its profile in the market but has no marketing experts in-house. Therefore, they want to find out how GenAI can help them market themselves better with limited knowledge and resources.
A company wants to raise its profile in the market but has no marketing experts in-house. Therefore, they want to find out how GenAI can help them market themselves better with limited knowledge and resources.
A company wants to raise its profile in the market but has no marketing experts in-house. Therefore, they want to find out how GenAI can help them market themselves better with limited knowledge and resources.
A company wants to raise its profile in the market but has no marketing experts in-house. Therefore, they want to find out how GenAI can help them market themselves better with limited knowledge and resources.
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It is essential to understand where your organization stands in the AI Maturity Model. This helps not only to evaluate current capabilities,
but also to develop a roadmap for further growth and integration of AI. AI is no longer a luxury, but a necessity for future-proof organizations. Start exploring the possibilities today and take the first step toward a transformational future.