Persona
Executive, CTO, or revenue leader with active enterprise pipeline.
This person cares about trust because trust affects revenue.
Trigger
Use this when a vendor has enterprise logos, AI-heavy messaging, procurement-sensitive buyers, or signs that security review is slowing deals.
Pain
The team may have strong engineering, but the buyer sees uncertainty.
What data touches the AI system? What is logged? Can retrieval leak restricted data? Can the system take actions? Who reviews high-risk changes? What evidence exists?
If these answers are scattered, sales feels it first.
One-line thesis
AI security has become a procurement issue, not just a product issue.
Short email
Subject: AI security as a procurement blocker
Hi,
One pattern I am seeing: enterprise AI vendors are not losing momentum because buyers dislike the product. They are losing momentum because procurement cannot get crisp AI security evidence.
The questions are practical: data flow, model providers, retrieval access, logging, human oversight, tool use, and review process.
When those answers are scattered, every deal creates a new scramble.
I wrote a short evidence checklist for teams trying to get ahead of this before the next security review.
Want me to send it?
LinkedIn DM
AI security is becoming a procurement blocker for enterprise AI vendors.
The issue is usually not zero controls. It is weak evidence: model boundaries, data flow, retrieval, logs, oversight, review process.
I have a short evidence checklist if useful.
Follow-up
A useful test: could your sales or trust team answer the top AI security questions in one packet this week?
If not, procurement will probably discover the gap first.
Artifact CTA
Send the Enterprise AI Security Evidence Pack template.
Advisory CTA
If there is a live review or delayed deal, recommend building the review pack.
What not to say
Do not lead with fear.
Do not imply the product is unsafe.
Frame the issue as sales friction caused by missing evidence.