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MBA AI Workshop Insights

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JUNE 2, 2026 N = 20 RESPONDENTS

AI Workshop:
Feedback & Future Preferences

An interactive, data-driven synthesis of survey responses submitted by MBA students following the Generative AI for Business case study workshop.

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100%
Recommendation Rate Every single respondent (20/20) rated their recommendation likelihood as 5/5 ("Very likely").
90%
Extremely Valuable Rating 18 out of 20 students gave the maximum 5/5 score for professional development value. The remaining 10% rated it 4/5.

SURVEY RESULTS

Quantitative Metrics & Ratings

Value to Professional Development

4.9 / 5.0 Avg

Likelihood to Recommend

5.0 / 5.0 Avg

WORKSHOP FEEDBACK

Hands-On Cases & Analytical "Data Traps"

Learning Through Real Cases

  • Hands-on over Lecture: Students expressed strong appreciation for practical, interactive case work (the BrewPoint Coffee case study) rather than listening to passive slides.
  • Functional Speed: The speed with which AI models handled and structured data was impressive, demonstrating productivity gains.
  • Framing: Focus was placed on how to structure a business case problem so AI can help solve it.
"The Basic overview followed by practical hands on exercises. Reviewing the discrepancies in teams. Reviewing the biases and issues."

Uncovering AI "Data Traps"

  • Eye-Opening Debrief: Understanding where AI models confidently output incorrect business assumptions was a primary learning.
  • Correlation vs. Causality: The "Staff Turnover Trap" showed that AI will recommend fixing turnover to solve revenue, failing to see that low revenue/wages actually caused the high turnover.
  • Human Interrogation: Reinforced that the manager's role is to stress-test the model's logic, questioning causality and selection bias.
"Unexpected end of workshop where it was shown that there were traps in data which could be only recognized by human analysis... It made me think a lot now!"

STRATEGIC TAKEAWAYS

Agentic Workflows & Decision Agency

Structured Agentic Workflows

  • Moving Beyond Casual Chats: Students learned that chatting with AI is a poor fit for rigorous work. Complex business problems require step-by-step agentic workflows.
  • Intermediate Reasoning: Breaking prompts into input, structured reasoning, testing, and feedback yields reliable, work-ready outputs.
  • Tasks, Not Workflows: AI automates specific analytical tasks, but the overall workflow structure remains the domain of the manager.
"Seeing how AI can be used in a more structured, step-by-step workflow, rather than only through casual conversation... intermediate reasoning steps help AI produce more practical and work-ready outputs."

Human Ownership & Verification

  • Decision Assistant, Not Maker: A key consensus from the feedback was that AI is a tool to help make choices, but humans must retain final ownership.
  • Model Performance Discrepancies: Observing how vastly different AI tools (Gemini, ChatGPT, Claude) and their free vs. premium models perform in practice.
  • Critical Review: If you cannot explain or verify the AI's data recommendations, you cannot stand by them.
"Another valuable aspect that I learnt was AI is just a tool to help make better decisions we should not let AI make decisions for us... thus verification of the data is key."

FUTURE PREFERENCES

Format Preferences for Expanded AI Offerings

Students voted on how the program should expand AI training. There is a strong appetite for deeper, structured courses.

40% 8 votes

A Full Elective Course on AI for Business

The top-ranked option. Students want a dedicated, comprehensive elective course to study advanced prompt engineering, custom agents, and AI economics in detail.

20% 4 votes

Multi-Week Workshop Series (4–6 sessions)

Students appreciate the workshop format but want sequential sessions. Note: One additional student noted in comments that they would have selected this format.

20% 4 votes

Short Embedded Sessions in Core Classes

Integrating 1–2 hour specialized AI sessions directly into existing finance, supply chain, or strategy courses to provide context-specific tool learning.

20% 4 votes

Standalone Semiannual Workshops

Continuing the current standalone format (like today's session) offered once or twice per semester as optional extracurricular sessions.

QUALITATIVE FEEDBACK

Voices from the Classroom