
How to Manage Large Projects with a Small Team Using AI
This method is now used by hundreds of SMBs in France and beyond to expand internationally and handle bigger clients while staying lean.
From 4 Employees to Major Projects: The AI Method to Manage Risk and Win Contracts
A CEO working 90-hour weeks is a bottleneck to growth. This article details the AI strategy and procedures we implemented to empower small teams to handle large projects with confidence.
Can a small company with 4 to 10 employees tackle major projects typically reserved for industry giants? The answer is a resounding YES. But it requires flawless risk management and a workflow optimized by artificial intelligence.
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The Problem: When the CEO Becomes the Bottleneck
Too often, the leader of a small firm handles all the research, analysis, and validation for every project. The result: 90-hour workweeks, low profitability, and limited growth. The expert spends 10 hours on research and 20 minutes on validation. We need to flip that ratio.
The workflow in practice:
- An employee takes a client's email (anonymized) and uses it as a prompt.
- They ask Perplexity to generate a table of 30 potential risks related to the project.
- They dive deeper into critical points by requesting detailed legal or technical opinions.
- They use the "Related Questions" feature to anticipate the client's next concerns.
Immediate Results:
- Time Savings: The CEO only needs to validate the final analysis.
- Standardization: Quality is consistent, regardless of the employee.
- Confidence: The firm can accept more complex contracts.
- Credibility: Client responses are fast, accurate, and sourced.
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# The final prompt for a comprehensive client report
"Now, write me a very long, detailed, and extremely accurate report, with no hallucinations or fabricated information. Ensure it is fluid, easy to read, and structured by sections, incorporating all the points we have discussed."