2. Early Stage

• AI Strategy and Vision:

o The value that AI will provide is beginning to be understood; short-term strategic goals have been determined.

o Initial investment discussions and search for financial support have begun.

• AI Project Management and Implementation Capacity:

o First MVP and prototypes are in the market or in testing.

o Project management processes are at an introductory level, with basic planning and reporting available.

• Data Management and Infrastructure:

o Data collection is becoming systematized and basic analytical processes are being established.

• Human Resources and AI Competence:

o The first data scientists or engineers have joined the team; the team is expanding.

• AI Ethics and Regulatory Compliance:

o Basic data protection awareness such as KVKK and GDPR has been created and the first compliance steps have been taken.

• Innovation and Continuous Improvement:

o Innovation is focused on MVP or prototype development; customer feedback is taken into account.