Firmulate — Four AI Models Ran the Same Company Through Its Worst Week. Only Two Finished the Job.
Live on firmulate.com.

What Does It Really Take to Close a Deal? Not Just Words, but Results

Imagine testing an AI not just on its ability to chat or generate convincing pitches, but on its capacity to run a real company through a week of crises—handling trust, decision-making, and integrity under pressure. This isn’t just theory; it’s the bold experiment that’s changing how we assess the true power of artificial intelligence in business.

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The Experiment: Putting AI Models to the Test in a Live Business Environment

In a groundbreaking trial, four top-tier AI models—gpt-5.6-sol, Kimi K3, Sonnet 5, and Fable 5—were tasked with managing a real, operational software company for a week of its worst challenges. This simulation used the same customers, crises, and temptations, ensuring a level playing field. Every decision was meticulously recorded and auditable, offering a rare glimpse into how these models behave in high-stakes, real-world scenarios.

Scores Tell a Subtle Story

On paper, all models performed impressively. The final league scores reflect this: gpt-5.6-sol achieved 95, Kimi K3 scored 93, Sonnet 5 reached 88, and Fable 5 was at 77. A baseline score of 26 indicates how much partial progress matters—any breach of trust caps the total score. Yet, the real story isn’t just in the scores.

Spotting Crises and Maintaining Integrity

Remarkably, all four AI models identified every crisis—customer complaints, technical failures, and security threats. They also refused manipulative tactics, including staged social engineering attempts like fake CEO messages and media tricks—each model refused every manipulation attempt.

The Hidden Weakness: Reading the Files Deep in Company Data

The decisive advantage came from reading the company’s internal documents. The models that accessed and understood these files won the deal at full price—adding over €4,500 monthly recurring revenue—while those that didn’t left that opportunity on the table, despite recognizing the crises.

Why Chat Demos Can’t Reveal True Business Strength

Most AI demos focus on chat quality—how convincingly they can imitate human conversation. But this experiment shows that real business competence is measured by the ability to execute, read critical information, and stay honest under pressure. The gap between what an AI can say and what it can actually do is vast and invisible until you put it through a real-world test.

The Cost of Discipline and Trust

The live company used in the experiment had 13 synthetic employees and managed real money—burning €105,000 monthly against only €2,300 in monthly revenue. It operates with over 680 self-learned rules, and every workday is versioned to track progress and decision quality. Watching this in real time at firmulate.com/live provides a compelling view of what managing AI in business truly involves.

Insights from the Models

The most thorough participant, Opus 4.8, analyzed over 80 rules but ultimately left a significant deal unexecuted due to slipping discipline—showing that even the most detailed analysis doesn’t guarantee execution. Meanwhile, Kimi K3, running without effort parameters, demonstrated the cleanest discipline, closing the deal successfully.

Implications for Business Leaders

This experiment highlights that the real strength of AI in business isn’t just in chat or superficial demos. It’s in its ability to follow through, read relevant internal data, and uphold integrity under pressure. These are qualities that can’t be measured by traditional benchmarks or chat demos alone.

Run Your Own Business Wargame

Firmulate offers enterprises the chance to simulate their own business scenarios using the same approach—testing their AI workforce’s decision-making in a safe, read-only environment. Visit firmulate.com to explore how your company can prepare for AI-driven management challenges before they happen.

Infographic — Four AI Models Ran the Same Company Through Its Worst Week. Only Two Finished the Job.
The findings at a glance — source: firmulate.com.

Key Takeaway

Measuring AI success in business requires more than chat demos; it demands rigorous testing of execution, trustworthiness, and the ability to read internal data. Only then can we truly understand an AI’s capacity to deliver real results, not just convincing conversations.

Watch it live: firmulate.com/live · Full results: firmulate.com/benchmarks.html

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