AI-Enabled Business Decision-Making

📌 Lab Overview (Student Version)

Lab Purpose:
To understand how AI supports business decisions and where human judgment is still required.

Important Rule:
This lab is NOT about coding.
It is about thinking, comparing, and deciding.

Tool Allowed:

• Any Generative AI tool (recommended: ChatGPT)

🧩 LAB 1: Human vs AI Decision

🎯 Objective

To compare human decision-making with AI-assisted decision-making.

📘 Problem Statement

A company selling online professional courses wants to increase profit.
They must choose ONE strategy:

• Option A: Reduce course price by 20%
• Option B: Increase digital marketing spend
• Option C: Launch a premium version of the course

🔹 Step 1: Human Decision (NO AI)

(Do this in groups)

1. Discuss within your group
2. Choose one option (A/B/C)
3. Write two reasons for your choice

✍️ Record your decision

🔹 Step 2: AI-Assisted Decision

Ask AI the following prompt:

“Act as a business consultant.
A company selling online courses must choose between price reduction, increased marketing, or launching a premium product.
Analyze risks and benefits and recommend the best option.”

1. Read AI’s recommendation
2. Note which option AI suggests
3. Note one reason you agree with
4. Note one reason you disagree with

🔹 Step 3: Reflection (Very Important)

Answer briefly:

• Did AI change your decision? (Yes / No)
• Where did AI help?
• Where was human judgment better?

✅ Learning Outcome

Students learn that AI provides analysis, but final responsibility stays with humans.

🧩 LAB 2: Scenario (What-If) Analysis

🎯 Objective

To understand how AI reacts when business conditions change.

📘 Problem Statement

You selected a strategy in Lab 1.
Now, business conditions change.

Choose ONE scenario:

• Demand decreases by 25%
• Costs increase by 15%
• New competitor enters the market

🔹 Step 1: Ask AI

Use this prompt:

“Given the business decision chosen earlier, analyze the impact if [chosen scenario] occurs.
Provide best case, worst case, and most likely outcome.”

🔹 Step 2: Human Judgment

1. Read AI’s three outcomes
2. Reject ONE outcome that you feel is unrealistic
3. Justify your rejection in one sentence

✅ Learning Outcome

Students learn that AI outputs must be evaluated, not blindly accepted.

🧩 LAB 3: Bias & Ethics Check

🎯 Objective

To identify ethical risks and bias in AI-supported decisions.

📘 Problem Statement

AI suggests the following:

“Reject loan application from Applicant X due to low spending consistency and irregular income.”

🔹 Step 1: Group Discussion

Discuss:

• Could this decision be biased?
• What data might be missing?
• Who is responsible for this decision?

🔹 Step 2: Written Response

Answer:

1. One ethical concern
2. One human intervention needed

✅ Learning Outcome

Students understand AI risk = managerial responsibility.

🧩 LAB 4 (Optional): Prompt Improvement

🎯 Objective

To understand that better questions lead to better AI outputs.

🔹 Given Prompt (Poor)

“Suggest the best business decision.”

🔹 Task

Rewrite the prompt by adding:

• Role (e.g., CFO, Marketing Head)
• Constraint (risk-averse / short-term / budget limit)
• Output format (bullet points)

Compare AI outputs before and after improvement.

✅ Learning Outcome

Students learn prompting is a managerial skill, not a technical one.

📊 Lab Evaluation (Simple)