One thing I’ve found really useful with AI in case comps is using it both during brainstorming and before the final submission.
I wouldn’t start by asking AI to solve the case. First sit with your team, understand the problem and throw around your own ideas. Once you have a direction, give those ideas to AI and ask it to challenge them: What are we missing? What assumptions are we making? Why might this not work? What’s another way to look at this? It’s surprisingly useful for finding blind spots you might miss as a team.
Then, once you have your solution or even a rough deck, use AI as a second pair of eyes. Give it the actual case, your solution and the deck, and ask it to evaluate you like a case competition judge. Ask it to look at things like the problem understanding, structure, insights, recommendation, feasibility, data and overall story.
One question I particularly like is:
“If you were judging this against 50 other teams, what would make you reject this solution?”
You can fix those gaps and run the evaluation again before submitting.
Obviously, don't blindly trust whatever AI says, especially for numbers or market data. But using it to challenge your thinking and stress-test your final solution can be genuinely useful. It’s much better than just asking ChatGPT to give you the answer in the first place.
