The SaaS governance problem
AI use often spreads faster than governance. Product teams embed model APIs, employees adopt productivity tools, vendors add AI features, and customers begin asking questions before the company has a single evidence view.
The buyer-ready SaaS evidence pack
A SaaS evidence pack should connect product AI features, internal tools, model providers, customer data flows, subprocessors, security controls, release governance, and customer-facing commitments.
Where to start
Start by separating customer-facing AI from internal productivity AI. Then map data, vendors, risk, oversight, and procurement answers for each category.
Practical evidence checklist
- Identify AI embedded in product features, workflows, analytics, support, and internal tools.
- Map customer data, personal data, prompts, outputs, logs, and retention.
- Record model providers, vendor platforms, subprocessors, and hosting locations.
- Define release checks for new AI features and material model changes.
- Prepare customer-facing AI governance and security answers.
- Align evidence with GDPR, ISO 27001, ISO 42001 readiness, and EU AI Act role/risk review.
FAQ
What is the quickest win for a SaaS company?
Create a product and internal AI inventory, then map data and vendor evidence for each item. That alone answers many buyer questions.
Should internal ChatGPT use be included?
Yes, if it touches customer, personal, confidential, or regulated data, or if outputs influence business decisions.
How should sales teams use the evidence?
Sales teams should use approved summaries and route detailed questions to the evidence owner instead of improvising AI governance claims.