Every company is using AI. The question is whether they're doing it with any structure or just hoping nobody asks.
For the last two years, most startups and mid-market companies have been in experimentation mode. Employees sign up for ChatGPT or Claude with personal accounts, paste customer data into prompts, and use AI-generated outputs without review. Engineering teams plug in API keys and start building. Nobody inventories what's being used, where data is going, or what the risks are.
That was understandable when AI tools were new and the regulatory landscape was unclear. It's not anymore.
Enterprise buyers are asking about AI governance in security questionnaires. Healthcare organizations want to know how you handle AI risk before they'll sign a BAA. The EU AI Act is in effect. ISO 42001 exists specifically to address AI management systems. SOC 2 auditors are starting to ask about AI use in their walkthroughs. And if you're in health tech, fintech, or any regulated industry, your customers and partners are paying attention.
What AI governance actually means
It's not a 50-page policy that nobody reads. At its core, AI governance for a startup or growth-stage company means:
You know what AI tools your company uses and who's using them.
You've defined acceptable use boundaries.
You control what data goes into AI systems.
You have human oversight for any AI outputs that affect customers or business decisions.
You've documented your approach clearly enough to answer questions from customers, auditors, and regulators.
That's it. You can build on top of that, but if you can't do those five things, you don't have governance. You have hope.
Why this matters now
The compliance landscape is moving fast. ISO 42001 certification is becoming a differentiator. Customers in healthcare and financial services are adding AI-specific questions to their vendor assessments. And the Delve scandal showed what happens when the compliance industry prioritizes speed over substance. The same risk exists with AI: if companies adopt AI tools without understanding the data handling, retention, and privacy implications, they're creating exposure they may not discover until a customer audit or a breach forces the question.
Up next in the series
In Part 2, we look at one of the riskiest tools in the AI stack right now: Anthropic's Cowork, and what it means when an AI agent gets admin access to your infrastructure.
Read Part 2 →
This article is part of Com-Sec's AI Governance series for startups and growth-stage companies. Learn more at com-sec.io.