Your AI-built SaaS won’t pass enterprise procurement.
Here’s what they’ll ask that you haven’t thought about.
You built a working product. Users are signing up. Revenue is growing. Then a mid-size company wants to buy 50 seats.
Their procurement team sends you a vendor security questionnaire.
47 questions.
You freeze.
Here’s a preview of what’s coming.
- “Describe your data retention and deletion policies.”
You don’t have one. User data stays in the database forever. When someone asks to delete their account, you run a manual SQL query and hope you got everything. There’s no automated process. No audit trail of what was deleted.
- “Do you encrypt data at rest and in transit?”
In transit, probably yes. Most modern frameworks default to HTTPS. At rest? Almost certainly not. AI-generated code doesn’t add database-level encryption because it’s infrastructure, not a feature.
- “Provide your SOC 2 Type II report.”
You don’t have one. You Google it and discover it costs $30K to $50K and takes six months. The enterprise deal suddenly has a six-month prerequisite you didn’t know about.
- “How do you handle GDPR data subject access requests?”
There’s no mechanism to export all data associated with a specific user. There’s no mechanism to delete it comprehensively across all tables and backups. There’s no logging of who accessed what data and when.
- “What is your incident response plan?”
There isn’t one. Because no one thought about what happens when something goes wrong. Only what happens when everything goes right.
Here’s the reality.
Enterprise customers and government buyers don’t evaluate your features. They evaluate your infrastructure, your processes, and your compliance posture.
AI tools build none of these.
If you’re building a SaaS product and plan to sell to businesses with more than 50 employees, compliance architecture needs to be in your roadmap from month one, not month twelve.
Non-technical founders: does your developer talk to you about security, or do you just assume it’s handled?