In the 1980s, General Motors was losing to Toyota. Its response was to spend $45 billion automating its production lines to reduce its dependence on labor. By 1986, its showcase plant had robots spray painting each other instead of cars.

Toyota went into GM’s worst factory in Fremont and ran the opposite experiment. It rehired the same workforce and rebuilt the system around them. Workers could stop the line, and the people building the cars were expected to improve the process.

Within two years, the plant was producing some of the best cars in America, at some of the highest productivity.

Today you have a choice. Use AI to automate your old operating model, or rebuild it around what your people know and what AI can do.

We start with your most expensive recurring process, redesign it with your team, and deploy AI agents to run it within 90 days. We keep doing this until we’ve rebuilt your operating model from the inside out.

We are product and engineering leaders who have spent our careers in the weeds of high-stakes operations across regulated industries and public companies.

Are you General Motors, or are you Toyota?