3. Growth (Scale-Up)

• AI Strategy and Vision:

o Product-market fit has been achieved, and the role of AI in products has become clear.

o Clear medium-term strategic goals and growth plans have been created.

• AI Project Management and Implementation Capacity:

o Project management processes are professionalized, and scaled AI projects are managed successfully.

o Processes such as MLOps and CI/CD are defined and implemented.

• Data Management and Infrastructure:

o Large-scale data infrastructure has been established, data analysis and modeling processes have been developed.

• Human Resources and AI Competence:

o Positions such as data scientist, engineer and analyst are common in the company.

o Employees' competencies are increased through regular training.

• AI Ethics and Regulatory Compliance:

o Processes are being institutionalized to ensure compliance with ethical standards and regulations.

• Innovation and Continuous Improvement:

o R&D activities are systematized, new products and features are constantly being developed.