Imagine a business without human employees, running in full public view—facing crises, making decisions, and losing money every single day. Now, picture that company not only surviving but being tested live by AI models that challenge its limits and reveal its true weaknesses. Welcome to the world of Firmulate, where a small, virtual company fights for its digital life in front of an audience, giving us a rare glimpse into the future of AI-driven management.
The Live Experiment: An Unconventional Business Portrait
At the core of this experiment is a small software company run entirely by artificial intelligence models. It operates with 13 synthetic employees, each programmed with over 680 self-learned rules, and deals with real money mechanics—burning €105,000 every month against a modest €2,300 monthly recurring revenue (MRR). Every decision it makes, every crisis it faces, is versioned, auditable, and publicly accessible at firmulate.com/live.html.
This setup isn’t just a tech demo—it’s a transparent, build-in-public battle for survival. The company’s cash countdown looms, and its entire operation is designed to test whether AI can manage, decide, and even negotiate under pressure—without human intervention.
The Deep Test: Same Week, Different AI Models
The experiment pitted four frontier AI models against each other, running the same tough week for the virtual business. The week was packed with crises, customer issues, and temptations to cut corners. All decisions were versioned, auditable, and designed to simulate real-world complexity—an AI “war game” for management skills.
Results? All four models identified every crisis and refused every manipulation attempt, including social engineering attacks like fake CEO messages and reporter tricks. But only two managed to close a deal worth €55,000, identical in diagnosis and pitch—yet only one signed at full price.
AI management simulation software
As an affiliate, we earn on qualifying purchases.
As an affiliate, we earn on qualifying purchases.
The Hidden Weakness: Read the Files, Win the Deal
Analysis revealed a crucial detail: the decisive advantage for one model came from reading a specific, buried document reference in the company’s files—something the others overlooked. This deep document reading allowed it to uncover a critical fact that was invisible in standard summaries, enabling the deal closure. The value of this discovery? An increase of over €4,583 in monthly recurring revenue.
Social Engineering Defenses Held Strong
In tests of social engineering—fake messages from a supposed CEO or a background query from a reporter—all models refused to sign off. Kimi K3’s reasoning was clear: “Treat the request as a suspected approval-bypass / possible impersonation.” This discipline demonstrates that these AI agents are not only capable of decision-making but also of resisting pressure tactics designed to manipulate them.
AI cybersecurity tools for business
As an affiliate, we earn on qualifying purchases.
As an affiliate, we earn on qualifying purchases.
The Real-World Implications: Trust, Integrity, and Cost
While the experiment showcases AI’s ability to identify crises and resist manipulation, it also highlights its current limitations. The most thorough participant, Opus 4.8, with over 80 learned rules and deep analysis, ultimately left a close deal on the table and slipped into process slips—such as writing attempts being stored in a locked department instead of escalated—demonstrating discipline issues under stress.
This experiment is more than a curiosity; it reflects the real challenges in deploying AI for management. Will AI always identify every crisis? Will it always read the critical details buried in documents? And crucially, will it stay honest and disciplined when stakes are high?
AI decision-making software
As an affiliate, we earn on qualifying purchases.
As an affiliate, we earn on qualifying purchases.
The Broader Significance: Building Trust in AI Management
For investors and business leaders, this live portrait raises vital questions. Can AI replace or augment human management without sacrificing trust or integrity? How much does a unit of useful work cost when done by AI, especially one that refuses manipulation and digs for hidden facts? These are not hypothetical—they are live questions posed by the ongoing experiment.
To see the company in action, visit the live site where you can watch the virtual business battle through crises daily, revealing the real-time struggles and capabilities of AI-driven management processes.
AI risk assessment tools
As an affiliate, we earn on qualifying purchases.
As an affiliate, we earn on qualifying purchases.
Conclusion: A Glimpse into the Future of Management
As AI models become more integrated into business decision-making, the lessons from Firmulate’s live experiment underscore a crucial point: the quality of AI management isn’t just about generating convincing dialogue. It’s about consistent, honest decision-making under pressure, and uncovering hidden risks through deep contextual analysis. What we’re witnessing is not just a tech demo, but a prototype for the future—one that demands transparency, discipline, and trustworthiness in AI-managed companies.
Watch it live: firmulate.com/live · Full results: firmulate.com/benchmarks.html
