What is AI maturity?

AI adoption in companies refers to the strategic process of integrating artificial intelligence technologies into business operations, workflows, and decision-making processes to enhance efficiency, productivity, and innovation. 

It involves using AI tools in at least one business function—such as IT, marketing, sales, or customer service—with applications ranging from simple automation workflow to advanced AI systems like machine learning and AI.

The process typically progresses through stages including awareness of AI's potential, experimentation with AI models, integration of AI into existing systems, performance monitoring, and continuous optimization. 

Successful AI adoption also requires aligning AI initiatives with business goals, developing staff skills, ensuring data readiness, and establishing governance frameworks for ethical and effective use.

The key difference between an automation workflow and an AI agent lies in their structure and autonomy.

• Automation workflow is a structured and predefined sequence of steps designed to handle specific, usually repetitive tasks. These workflows follow explicit rules laid out by a developer: "if X happens, then do Y." Workflows are predictable, linear, and operate within fixed boundaries without deviation. They are excellent for consistent, well-mapped processes where control and reliability are priorities.
• AI agent, on the other hand, is an autonomous system that is goal-oriented and capable of making decisions independently. Instead of following a fixed sequence, AI agents analyze their environment, plan their own steps to reach goals, adapt to new information, and handle complex or unforeseen situations dynamically. They choose their own actions, can learn over time, and operate flexibly with minimal human intervention.