Consulting Experts — Planning AI Project

About Vetto

Vetto is a global platform connecting top-tier professionals to strategic Artificial Intelligence projects worldwide. The company focuses on building trust, quality, and long-term value within the AI ecosystem for both exceptional talent and technology-driven organizations.

About the Project

This project focuses on reviewing and improving real-world business scenarios used to train AI planning assistants in an educational context.

The AI model acts as a tutor by:

• Structuring complex problems
• Building hypothesis trees
• Teaching strategic reasoning to business students

The role requires thinking like a consultant at a top-tier firm by:

• Breaking down ambiguous problems
• Structuring analytical approaches
• Identifying and discarding hypotheses using data
• Delivering clear strategic recommendations

Who Can Apply

• Current or former consultants from strategy and management consulting firms such as:

  • McKinsey
  • BCG
  • Bain
  • Roland Berger
  • Oliver Wyman
  • Accenture Strategy
  • Similar firms

• Professionals with experience in:

  • Structured problem solving
  • Issue trees
  • Hypothesis-driven analysis

• MBA students or final-year undergraduates with strong:

  • Case interview experience
  • Strategic project experience

Compensation

• US$60 per approved task
• Paid in local currency
• Approximately 80 minutes per task
• Effective hourly rate of approximately US$45/hour

Selection & Instructions

Selected candidates will review real consulting case scenarios as part of the project.

Important Notes

• AI-generated submissions are not allowed
• Applications may be blocked if AI usage is detected
• The application must be completed entirely in English or Portuguese

Reasoning Case Requirements

Applicants must present a real business problem they diagnosed or solved.

Examples may include:

• Strategic decisions
• Market entry problems
• Operational inefficiencies
• Organizational challenges

Cases may be anonymized.

Evaluation focuses on reasoning quality rather than whether the final outcome was objectively correct.

Case Structure

Part 1 — The Problem

Describe:

• The business problem
• The available data or information at the start

Part 2 — Your Journey

Describe your reasoning process in 3 steps.

For each step:

• Explain what was analyzed or decided
• Explain what evidence, data, or framework drove the decision

Part 3 — Discarded Alternatives

For each of the 3 reasoning steps:

• List at least 2 alternative hypotheses considered
• Explain the concrete data that eliminated each hypothesis

Generic answers such as “it wasn’t the case” are not considered valid.

Part 4 — Conclusion

Describe:

• The final recommendation or solution
• How the gathered evidence led to the conclusion

Also highlight:

• 1–2 key insights
• Important findings or turning points
• Non-obvious observations that significantly influenced the reasoning process

Example Case

An illustrative example is included in the application instructions.

The provided example demonstrates:

• Structured reasoning
• Hypothesis elimination
• Evidence-based decision making
• Strategic recommendation development

Applicants are expected to provide significantly more detail, deeper analysis, and stronger supporting evidence in their own submissions.