Can AI help me enhance the case analysis part of my thesis?

Yes, AI tools can significantly assist in enhancing the case analysis component of a thesis. They offer capabilities for processing extensive data, identifying patterns, and suggesting analytical connections relevant to case studies. Effective utilization requires high-quality, well-structured case data as input. AI excels at pattern recognition and data summarization but cannot replace the researcher's critical interpretation and theoretical framing. Therefore, these tools function best as supportive aids, automating tedious tasks like data coding or preliminary thematic analysis while the researcher maintains oversight over methodological rigor, contextual understanding, and integration with relevant literature. For case analysis, AI can streamline processes such as extracting key information from case documents, identifying recurring themes or anomalies in qualitative data, comparing case features, or generating initial descriptive summaries. The researcher must then rigorously evaluate AI outputs, integrate them with domain theory, and construct the core analysis and argument. This synergistic approach can improve depth and efficiency, providing robust evidence and novel insights within the thesis.