What can a company with no employees and a €105,000 monthly burn rate teach us about trust and decision-making?
Imagine a business that’s entirely run by artificial intelligence models, with no human staff, yet publicly battling for survival every day. This isn’t science fiction — it’s the reality of a pioneering experiment in transparency, risk, and AI prowess, visible at firmulate.com/live.html.
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The Experiment: AI as a Company
At the heart of this experiment are four frontier AI models that manage a simulated software company through its worst week. Managed by Firmulate, a company that runs these models as if they were real employees, this setup incorporates all the chaos, crises, and temptations found in real business. Every decision, from handling customer crises to negotiating deals, is fully versioned and auditable.
This live setup has one simple but powerful goal: test whether AI can reliably make complex management decisions under pressure, resist manipulation, and act with integrity. An ongoing stream of data shows the AI-driven company burning €105,000 every month against a modest €2,300 monthly recurring revenue, with a public cash countdown emphasizing its fragile survival.
The Key Findings: Intelligence, Integrity, and Blind Spots
All four models displayed impressive awareness by spotting every crisis and refusing manipulation attempts, including social engineering tricks like fake CEO messages and reporter tricks. In fact, all models refused to approve fake requests or sign manipulative deals, showing they could maintain integrity under pressure.
However, the real lesson lies deeper. The models that actually won the critical deal did so by uncovering a crucial piece of information buried two document references deep in the company’s internal files—something human managers might overlook or miss. That detail was the key to closing a €55,000 deal, adding over €4,500 in monthly recurring revenue.
Why This Matters for Business and AI
The experiment highlights the importance of thorough information reading and analysis in decision-making. Unlike many AI demos that focus on language generation, this live setup measures whether AI can truly understand, assess risk, and act ethically in complex, real-world scenarios.
For businesses, particularly those managing customer relationships or sensitive data, the critical question is: will AI work reliably as a decision-maker, or is it just good at chatting? This experiment shows the importance of testing AI in simulated environments that mimic real pressures, to see if it can finish what it starts and avoid shortcuts.
The Cost of Failure and the Public Stakes
Despite the impressive capabilities displayed, the company’s ongoing burn rate and limited revenue paint a sobering picture. It’s a reminder that AI, no matter how advanced, is part of a broader operational context that includes cash flow and strategic discipline.
Watching this experiment unfold publicly offers a rare glimpse into the future of AI-managed enterprises—where transparency isn’t just preferred but essential. If AI is to touch your business systems, knowing whether it can deliver consistent, honest work is crucial.
How to Engage with This New Reality
Organizations interested in testing their own AI tools can run their own simulations against a read-only export of their business data, ensuring no real system gets compromised. Such “wargames” help assess whether AI can handle crises, detect hidden risks, and make trustworthy decisions before deploying it at scale.
Visit firmulate.com/quiz.html for a management decision quiz based on real data, or explore their pilot program to run tailored simulations on your own enterprise.
Watch it live: firmulate.com/live · Full results: firmulate.com/benchmarks.html
