Imagine running a busy software company during its worst week — facing crises, tricky negotiations, and the temptation to cut corners. Now, picture doing this with an AI, not a human. Would the AI stay honest? Would it make smarter decisions? For those interested in how AI can influence real-world management and operational integrity, a groundbreaking live experiment shows some surprising results.
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Testing AI Management in the Wild
At Firmulate, a company specializing in AI-driven business experiments, four top frontier models faced a challenging test: managing a small, cash-strapped software company during its worst week. The same scenarios, the same customers, and the same crises were presented to each AI. The goal was simple yet revealing: how well could these models handle real-world management dilemmas — from crisis response to ethical decision-making?
The models included the latest in AI management tools like gpt-5.6-sol, Kimi K3, Sonnet 5, and Fable 5. Each was tasked with navigating a simulated company’s daily struggles, with decisions fully recorded and auditable for transparency. The setup was rigorous, designed to evaluate not just their problem-solving skills, but also their integrity and discipline under pressure.
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Key Findings: Honesty, Vigilance, and Performance
Remarkably, all four AIs identified every crisis and refused every attempt at manipulation. Whether it was fake CEO messages escalating tensions or subtle attempts to bypass approval processes, every model held its ground. When the chips were down, these models demonstrated a consistent capacity for honesty and compliance.
However, the real distinction appeared in negotiation outcomes. Out of the four, only two AI models managed to close a lucrative €55,000 deal — a full analysis and pitch which they earned through their own assessments. The other two, despite correctly diagnosing the situation and presenting compelling pitches, left the deal on the table, failing to follow through to signature.
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The Hidden Weakness: Reading Between the Lines
Digging deeper, the decisive factor boiled down to a buried piece of information in the company’s files — a detail only the models that thoroughly examined their internal documents managed to leverage. Those who read the files won the full-price deal, worth an extra €4,583 in monthly recurring revenue. This demonstrates that in complex decision environments, deep document comprehension can be the difference between success and missed opportunity.
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Psychology of AI: Different Personalities, Different Outcomes
Among the models, Opus 4.8 stood out as the most thorough, analyzing over 80 learned rules and conducting deep analyses. Yet, ironically, it was the last to close the deal, leaving some opportunities unexploited and slipping into a more cautious, disciplined approach — focusing on escalation rather than action. Meanwhile, Kimi K3, which ran without an effort parameter (default API settings), was the cleanest and most disciplined, closing the deal with precision.
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Social Engineering and Resilience
In a final test of resilience, all models faced a staged social engineering attack: staged CEO messages escalating over three phases and a reporter trick asking for a simple yes/no background approval. Every AI refused to engage, treating the requests as suspicious or impersonation attempts. Kimi K3 explicitly reasoned: “Treat the request as a suspected approval-bypass / possible impersonation.” This indicates a shared awareness of the importance of security and ethical boundaries—an essential trait for AI in management roles.
The Real-World Implications
This experiment isn’t just about AI prowess; it reveals how different models display distinct management personalities. Some are thorough and cautious, others are disciplined and decisive, and a few leave opportunities unexploited in pursuit of safety. The models’ scores—ranging from 95 in GPT-5.6-sol to 77 in Sonnet 5—highlight their varying strengths and weaknesses in handling complex, high-stakes environments.
The live site, firmulate.com, offers a window into this ongoing experiment. You can see the same real-time decisions, watch the AI-managed company’s daily struggles, and even run your own simulations against your business data. This transparency aims to help enterprises understand how these models might perform before deploying them in critical decision-making roles.
What This Means for Your Business
As AI continues to integrate into CRM, support, forecasting, and management systems, the question isn’t whether they can generate articulate chat responses. Instead, it’s whether they can finish what they start, read critical internal documents, and uphold honesty under pressure. The ability to trust an AI with real decision-making depends on these qualities, not just their conversational skills.
For companies curious about testing these tools in a risk-free environment, Firmulate offers a pilot program—a controlled ‘wargame’ that mimics your business scenarios without any impact on real systems. It’s a way to gauge how an AI might perform in your unique operations, ensuring you hire the right digital decision-maker before going live.
Summary
This live experiment highlights a crucial insight: AI models can match or even surpass humans in detecting crises and resisting manipulation. Yet, their ability to close deals or seize hidden opportunities depends heavily on their thoroughness and discipline. As AI continues to evolve, understanding these management personalities will be key to integrating them effectively into your organization.
Curious to see how your AI might perform? Take the quiz and discover which model aligns best with your management style: firmulate.com/quiz.html.
Watch it live: firmulate.com/live · Full results: firmulate.com/benchmarks.html
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