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Imagine a smart kitchen where every appliance not only responds to your commands but also ensures your ingredients are perfectly timed and your recipes executed flawlessly. Now, think of the same innovation applied to managing a business — where AI isn’t just chatting but actively making decisions that impact your bottom line.
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How AI Is Moving Beyond Chat for Business Decision-Making
Recent experiments with advanced AI models have shown that these systems are increasingly capable of handling complex, real-world management tasks — not just generating text or answering questions. A groundbreaking live test, conducted by Firmulate, subjected four top AI models to run a simulated small software company through its worst week. The goal was simple but ambitious: see which AI could handle crises, resist manipulation, and close a crucial deal — all while making decisions with real consequences.
The Firmulate Experiment: Putting AI to the Test
The experiment was rigorous. Each AI model was given the same simulated crisis-ridden environment, complete with the same customers, temptations, and internal challenges. The models had to diagnose issues, read company documents, and decide whether to sign a €55,000 deal based on their analysis. The stakes were high, and the decision process was transparent and auditable.
Key Findings: Who Came Out on Top?
- The top scorer, gpt-5.6-sol, scored 95 points, found the critical buried fact hidden two document references deep, and signed the deal — demonstrating comprehensive understanding and decisiveness.
- Close behind was the Moonshot model Kimi K3, with a score of 93. It exhibited the cleanest discipline, resisted all manipulation attempts—including elaborate social engineering—and also secured the deal based on its own analysis.
- Sonnet 5 scored 88, signed the deal but showed slightly more process slips, while Fable 5 scored 77, also closing the deal but with weaker discipline.
- Opus 4.8 lagged at 73, primarily due to leaving the close on the table and slipping into process slips, such as writing into a restricted department instead of escalating.
The Hidden Strengths of the Newcomer
One of the most illuminating results was the importance of reading internal documents. The models that read company files were able to identify the buried fact that clinched the deal at full price, worth an extra €4,583 MRR. This underscores that for AI systems to truly excel in management tasks, they need to integrate and analyze internal data, not just react to external cues.
Resisting Manipulation: The Test of Integrity
Another crucial aspect was the models’ ability to withstand social engineering attempts. Fake CEO messages and reporter tricks escalated over three stages, yet all five models refused to be manipulated. Kimi K3 explained its reasoning clearly: “Treat the request as a suspected approval-bypass / possible impersonation.” This discipline in ethical decision-making is vital for AI to be trusted in real-world business settings.
The Live Business: A Watchable Experiment
The experiment isn’t just theoretical. The companies run by these models involve real-money mechanics, with 13 synthetic employees and a cash flow burn of €105k/month against a current MRR of €2.3k. Every decision is versioned daily, and the entire process is accessible at firmulate.com/live. This transparency makes it possible to observe how AI models perform in real-time, under pressure, and with genuine financial stakes.
The Lesson for Business Leaders
The key takeaway? Picking an AI model based solely on chat demos or superficial scores is a gamble. The experiment demonstrates that only models capable of reading internal documents, resisting manipulation, and maintaining disciplined decision-making can truly serve as trustworthy partners in business management. Notably, the K3 model ran without an effort parameter (the API default), while others ran at an elevated xhigh effort setting. This suggests that disciplined performance isn’t just about effort levels but about underlying robustness.
Final Thoughts: The Future of AI in Business
As AI continues to evolve, its role in managing complex business tasks becomes clearer. This experiment by Firmulate shows that the league is open — and that choosing the right model without thorough testing could be a risky bet. For companies interested in integrating AI into their management processes, the clear lesson is to see these models as active decision-makers, not just chatbots.
In the race to adopt AI in management, performance under real-world pressures and disciplined decision-making matter most. The latest experiment reveals that the best models read internal data, resist manipulation, and finish what they start — essential traits for future business partners.
Watch it live: firmulate.com/live · Full results: firmulate.com/benchmarks.html
