Compliance

Compliance means actually proving that a company follows the rules it's supposed to follow. Think of school: it's both following the rules and keeping records — attendance sheets, exam papers, report cards — so that anyone checking later can confirm it.

For an AI company, compliance means concretely documenting things like where user data is processed, who gets notified within how many days if something goes wrong, how long records are kept, and whether outside auditors can review the system. Just saying "we follow the rules" is treated completely differently in practice from having a document with specific timeframes and named responsible parties.

To do business in heavily regulated regions like Europe, this documentation itself becomes a sales asset. Public-sector and regulated-industry customers won't even open a contract without compliance evidence.

The article notes that "public-sector and regulated-industry customers in Europe won't open a contract without compliance evidence." A common misunderstanding is treating compliance as a one-time test you pass once and forget. In reality, it's an ongoing activity: you have to keep maintaining and updating items with specific numbers and named owners — like where data is located, incident reporting deadlines, and log retention periods — to keep being recognized as compliant.

Try giving an AI this prompt to quickly sketch out the skeleton of a compliance checklist:

"Make a table of the items our company must include in a compliance document when providing an AI service to European customers. For each item, also list the specific questions we need to check."