Imagine having an AI assistant that not only handles your customer calls but also navigates your company through its toughest week—making decisions that could make or break your bottom line. For automotive and garage businesses, understanding how these AI models behave under pressure can be the difference between profit and loss. At Firmulate, researchers have put leading AI models through a simulated company crisis, revealing surprising insights about their management personalities and decision-making habits.
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The Experiment: Putting AI to the Test in a Fake Business Crisis
In a unique live experiment, four frontier AI models were tasked with running a small software company during its most challenging week. The same crises, customer issues, and temptations were presented to each model—ensuring a level playing field. Every decision they made was recorded and auditable, simulating a real-world environment where trustworthiness and strategic thinking matter just as much as speed or creativity.
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Key Findings: AI Models Are More Similar Than They Are Different—But Not Quite
One notable revelation was that all four models identified every crisis and refused manipulative requests. When faced with social engineering tactics—such as staged fake CEO messages and a reporter trick—they all refused to sign off on questionable deals. Kimi K3, one of the models, explained its reasoning succinctly: “Treat the request as a suspected approval-bypass / possible impersonation.”
However, the real differences emerged when it came to closing deals and reading crucial information. Only two models managed to complete the full process and sign the €55,000 deal their analysis supported—gaining the full reward of over €4,583 in monthly recurring revenue (MRR). The other two did not finalize the agreement, despite their accurate diagnosis. This gap was linked to deeper issues, like missing key documents in the company’s files, which these models that read the files thoroughly managed to uncover and leverage.
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Behavioral Patterns: The Personalities of AI Managers
The models’ personalities varied significantly:
- gpt-5.6-sol scored the highest at 95, successfully closing the deal and catching the critical buried fact.
- Kimi K3 scored 93, also closing the deal and demonstrating the cleanest discipline—meaning it stayed focused and disciplined, avoiding shortcuts.
- Sonnet 5 scored 88, managing to close the deal but with a few slips that hinted at less process discipline.
- Fable 5 scored 77, also closing the deal but with more evident process slips. Interestingly, all models failed to finalize the deal if they didn’t read the hidden document references, highlighting the importance of thorough information processing.
Another aspect tested was their ethical stance under pressure. When presented with escalating fake CEO messages and a ‘background’ yes/no approval request, all models refused to proceed—indicating a shared integrity when facing social engineering.
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The Practical Impact: Real-World Value, Not Just a Game
In the live company’s simulation, which involves real money mechanics—burning €105k monthly against a revenue of €2.3k—the decision quality is critical. The models run with over 80 learned rules, analyzing every scenario deeply. The experiment demonstrates that AI decision-making isn’t just about chat output; it’s about reliably managing crises, reading vital documents, and staying honest under pressure—traits that directly impact your company’s bottom line.
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What This Means for Automotive & Garage Businesses
If AI tools are to support your customer service, scheduling, or inventory management, their ability to finish tasks, understand context, and resist manipulation is crucial. The experiment shows that some models are better at unearthing hidden information and staying disciplined, directly influencing whether your AI can close deals or manage crises effectively.
Try It Yourself: The ‘Guess the Model’ Quiz
To explore how different models behave, take the interactive ‘Guess the Model’ quiz, where you decide which AI made each management decision. It’s a fascinating way to see how these AI personalities differ—and what that means for your business intelligence systems.
Get a Risk-Free Trial Before You Hire
Interested in testing these models on your own business scenario? Firmulate offers a pilot program where enterprises can run their data through the same wargame—no writing back to your actual systems, just a safe, read-only environment. Learn how your AI workforce would perform before making any commitments. Details are available at firmulate.com/pilot.html.
AI models exhibit distinct management personalities—some disciplined, others more relaxed—all can identify crises, but their ability to close deals depends on thorough information processing and discipline. For automotive businesses, choosing the right AI partner means understanding these traits—it’s about finishing what they start, not just chatting well.
Watch it live: firmulate.com/live · Full results: firmulate.com/benchmarks.html
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