Strategy Interviews & Case Practice

This last lesson is about the interview. Picture the hiring manager at a company or a consulting firm. They want someone who can turn a fuzzy AI ambition into a clear, safe, funded plan. They will test structure, judgment and honesty. This lesson shows the common formats, a method for case questions and practice cases with strong answers.

What the interviewer wants to see

• You begin with the business goal, not with a tool.
• You can structure a messy problem and keep your thinking easy to follow.
• You use numbers, and you say what you assume.
• You name risks and rules, not only benefits.
• You think about people and change, not only technology.
• You are honest about what you do not know, and how you would find out.

Common interview formats

• Case interview: a business situation, solved aloud with a method.
• Strategy memo or short deck: a take-home task with a deadline.
• Technical literacy round: explain how AI systems work in plain words.
• Stakeholder role-play: handle a worried executive or a skeptical team lead.
• Behavioral round: stories about leading change, handling pushback and missing a target.

A method for any case

1. CLARIFY    Repeat the goal. Ask about the business, users, data, rules and deadline.
2. STRUCTURE  Say how you will break it down, for example value, feasibility, risk, people.
3. OPTIONS    List two or three options, including doing nothing and a simple non-AI fix.
4. ASSESS     Score the options. Show the numbers and name your assumptions.
5. RECOMMEND  Give one clear recommendation and the first step.
6. RISKS      Name the main risks and how you would reduce each.
7. MEASURE    State the success number, the baseline and the review date.
8. PEOPLE     Say who must be involved and how you would bring them along.

Practice cases, with strong answers

Case one: a bank asks which of ten AI ideas to fund first. A strong answer clarifies goals and limits. It scores the ideas on value, feasibility, data readiness and risk. It points out that ideas touching lending decisions are high risk. It recommends two quick wins and one core bet, and names the number for each.

Case two: a retailer wants an AI chatbot for customers. A strong answer asks what problem the chatbot solves. It looks at ticket types and the cost of each. It suggests starting with the top three question types, with a person taking over when the AI is unsure. It states a success number such as share of questions solved without a person, with a quality check by reviewers.

Case three: a hospital group worries about AI risk. A strong answer separates uses by risk. Admin drafting is low risk. Anything affecting patient care is high risk and needs formal review, testing evidence and clinical sign-off. It proposes a short policy, a register of AI systems and a plan for incidents. It says that laws differ by region and asks for legal advice.

Case four: a leader says, our staff are afraid AI will take their jobs, and adoption is low. A strong answer listens first. It separates fear, doubt, effort and fairness. It proposes honest communication about jobs, volunteers and champions, training with real work, and a weekly adoption number.

Show your work

• Write a one-page AI strategy for a fictional company, with use cases, a business case, risks and a twelve-month roadmap.
• Make a sample scorecard and a risk register.
• Write a short note on a real AI tool decision, such as build versus buy, with your reasoning.
• Be ready to defend each number and assumption.