When FutureFit AI started building their AI-powered career copilot to help people navigate career changes, they discovered something that broke this model entirely.

A restaurant manager trying to become a project coordinator would look at job postings listing requirements like "stakeholder management," "resource allocation," and "conflict resolution"—and assume they needed to start from scratch.

They'd completely miss what was right in front of them: they'd been doing all of those things every shift. Managing staff schedules? Resource allocation. Handling customer complaints? Conflict resolution. Coordinating between kitchen and front-of-house during a dinner rush? Stakeholder management. The skills were already there—just invisible because the language was different.

Career changers already had the skills, but struggled to translate their experience into the language of their target industry. Future employers would pass on them because they couldn't see how those skills transferred. Without that translation layer, people waste time and money relearning what they already know, or worse—they give up entirely because the gap feels impossible to close.

FutureFit aimed to be this translation layer—using AI to help people see what they already have and figure out the next non-obvious step to fill the gap. The hard part? Teaching AI to see what even humans couldn't.