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What if your AI assistant was running your business for a week?

Imagine watching a skilled manager navigate crises, negotiate deals, and make tough calls — all without a human in the mix. Now, what if that manager was an AI model? That’s exactly what the team at Firmulate set out to test, turning AI models loose on a real, money-losing software company during its most challenging week.

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The Experiment: Putting AI Models to the Test

Firmulate created a live, transparent simulation where four cutting-edge AI models managed a small software business facing typical worst-week scenarios: customer crises, ethical dilemmas, and sales negotiations. Every decision was real, every outcome observable, and every decision tracked for analysis.

The Models Compared

  • GPT-5.6-sol scored the highest at 95, demonstrating a keen ability to uncover critical information buried deep in company documents.
  • Kimi K3 (score 93) impressed with discipline and honesty, closing the deal without shortcuts.
  • Sonnet 5 scored 88, also closing the deal but with slightly more slips in process.
  • Fable 5 scored 77, with some discipline lapses that left opportunities on the table.

Core Findings: Honesty, Insight, and Performance

All models successfully identified crises and refused manipulative tactics, such as fake CEO messages or reporter tricks, with perfect consistency. When it came to final deals, only two models signed the €55,000 contract — despite all performing the same diagnosis and pitch.

The secret to success was reading into the company’s own files — not just the immediate customer problems but the internal documents that contained the key information needed to close the deal at full price. The models that examined these references outperformed their peers, bringing in an additional €4,583 in monthly recurring revenue (MRR).

The Human-Like Flaws and What They Reveal

The most thorough model, Opus 4.8, with over 80 rules learned and deep analyses, actually finished last in the final tally. It left the close on the table and slipped into a department to write reports instead of escalating. Interestingly, all models exhibited similar weaknesses when faced with the same internal discipline lapses — indicating that even sophisticated AI can struggle with process adherence.

Real Business, Real Stakes, Real Learning

This isn’t just a tech demo. The company used in the experiment is real, with 13 synthetic employees managing real cash flows—burning €105,000 each month against €2,300 MRR. Every day, its rules and decision policies are versioned and observable, making it a perfect testbed for AI decision-making in high-pressure environments.

The Broader Implications for Fashion & Business

You might wonder: what does this have to do with your world of fashion and style? The lesson lies in trust, honesty, and strategic insight — qualities that are just as vital in retail and luxury brands as they are in software companies. Before deploying AI in your customer service, inventory, or marketing, ask yourself: will it just generate pretty words or will it actually finish what it starts, stay honest under pressure, and read your internal data to make the right call?

Try It Yourself

If you’re curious about how AI can manage your business, you can run similar simulations against your own data — without risking real systems or finances. Visit firmulate.com/quiz.html and see how your AI choices stack up in an interactive quiz based on real decisions from this experiment.

Infographic —
The findings at a glance — source: firmulate.com.

Key Takeaway

AI models can genuinely match or surpass human decision-making in complex management scenarios, provided they read deeply into internal data and maintain discipline under pressure. As AI continues to evolve, understanding how these models behave in real business conditions becomes crucial—because the difference between a good AI and a bad one could be the difference between closing a deal or leaving it on the table.

Watch it live: firmulate.com/live · Full results: firmulate.com/benchmarks.html

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