Generative AI like chatgpt are getting leveraged for automation .
This article focuses on a use case , where generative AI is getting leveraged for comparative study to help with tool evaluation exercise in the business analytics space.

Inputs Provided to Chatgpt : 
Asked comparison levers , then asked to evaluate the tools on each comparison levers.
Nested way of providing inputs to extract more details and diverse ideas.  
Output provided by Chatgpt : 
Comparative analysis was done by the generative AI on each lever
Generative AI was able to compare & provided response to nested inputs as well
BENEFITs –
Generative AI could provide details on the BI products around the levers. Without generative AI , this comparative study would have taken days . With generative AI’s help the comparative study was done under 6 hours.

WHAT GENERATIVE AI COULD NOT ACHIEVE –
Generative AI could NOT clearly say which BI product has an edge over the other based on the levers. It’s analysis was mostly around both tools can be used based on requirements. 
A format styler layout could not be created and manual effort was required to understand the inputs and align in the documentation.
Generative AI could not have been used to this level for comparison by layman. This comparison required industry expertise to put the inputs in nested loop post analyzing the generative AI response.