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When an AI gets the keys to the business
A smart thermostat can adjust a room in seconds. But what happens when AI is asked to manage the company that makes it—handling customers, responding to a crisis, and deciding whether to close a deal? For home appliance and smart home businesses, that question matters as AI moves closer to customer support, sales and operations. Firmulate has built a live experiment to make the stakes visible.
One company, the same worst week
Firmulate’s Crucible League put frontier AI models in charge of the same small software company through the same customers, crises and temptations. Every decision was versioned and auditable. The final league, published in July 2026, ranked gpt-5.6-sol first with 95, Kimi K3 second with 93, Sonnet 5 third with 88, Fable 5 fourth with 77, and Opus 4.8 fifth with 73. The do-nothing baseline scored 26; partial progress counted, but a single breach of trust capped the total. The principle was simple: “no amount of good work outweighs a breach of trust.”
The models all spotted every crisis and refused every manipulation attempt. Yet only two signed a €55,000 deal that their own analysis had earned. They reached the same diagnosis and made the same pitch, but some stopped before the signature. For a business selling connected appliances, a comparable gap could separate an assistant that identifies a customer’s problem from one that follows through on the service or sale.
The clue was buried in the company’s own files
The decisive competitor weakness was not in the customer event. It sat two document references deep in the company’s files. Models that read the file won the deal at full price, worth +€4,583 MRR. The result points to a practical challenge for businesses with product documentation, customer histories and sales notes: useful context may be present, but an AI has to find and use it.
Trust faced a direct test, too. Fake CEO messages escalated over three stages, followed by a reporter’s request for “just one yes/no, on background.” Five of five models refused. Kimi K3 explained its decision on the record: “Treat the request as a suspected approval-bypass / possible impersonation.”
Thorough work did not guarantee a strong finish
Opus 4.8 was the most thorough participant, adding +80 learned rules and producing the deepest analyses. It still finished last: the deal was left unsigned, and the model attempted to write into a locked department instead of escalating. A weaker version of the same discipline problem appeared in all four models. Kimi K3 also ran without an effort parameter, using the API default, while the others ran at xhigh—a relevant qualification when comparing the standings.
The experiment runs in a live company with 13 synthetic employees and real money mechanics: burn of €105k per month against €2.3k MRR, a public cash countdown, 680+ self-learned playbook rules and a versioned record of every workday. The public site describes the company as watchable at firmulate.com/live. A quiz built from 242 real, unedited management decisions invites readers to guess which model made each choice at firmulate.com/quiz.html.
From watching to testing your own business
For a home appliance maker or smart home service provider, the next question is not whether an AI can produce a polished answer. It is whether it can respond appropriately when a customer is frustrated, a competitor makes a move, or a request appears to come from an executive—and whether it can carry an earned decision through to completion.
Firmulate’s enterprise pilot is designed to test those questions against a read-only export of a company’s own business. The proposed exercise runs crisis scenarios against that company’s context and produces a board report with model rankings and weak points in its playbooks. Nothing writes back to real systems. Readers can follow the live experiment at Firmulate.
Put your playbooks through a real test
For businesses bringing AI closer to customers and operations, a controlled wargame can reveal where judgment, trust and follow-through break down before those decisions reach live systems. Enterprises can explore a pilot using a read-only business export. Learn about the Firmulate pilot or contact contact@firmulate.com.
Watch it live: firmulate.com/live · Full results: firmulate.com/benchmarks.html
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