Example Concept: When integrating AI, businesses must assess data privacy risks by ensuring compliance with regulations like GDPR. They should also evaluate algorithmic bias by testing AI models on diverse datasets to prevent unfair outcomes. Integration complexity can be managed by using middleware solutions that bridge AI tools with existing systems, while potential workflow disruptions can be minimized through phased implementation and employee training.