AI Companies
Move fast without improvising trust.
Enterprise procurement does not grade AI companies on a curve. The security review is the same one every vendor gets, with harder questions about data.
The fundamentals still apply
The questions are not exotic. They are just detailed.
Before anyone asks about your model, they will ask who has production access and when you last reviewed it.
- Where customer data goes
- Whether data reaches a model provider
- Whether data is used for training
- Retention and deletion practice
- Subprocessor disclosure
- Internal access controls
- Approved AI tools for employees
- Vendor and model provider review
- Privacy commitments
- Incident response
- Policy governing AI use
- Documented governance decisions
A buyer's AI questions are usually a test of whether you have documented your own architecture.
Teams that can answer quickly are rarely the ones with the simplest systems. They are the ones who wrote it down while they built it.
What we take on.
Documentation
Data flows, retention practice, and subprocessor relationships written down in a form a customer can be shown.
Policies
Including internal policy on employee AI tool use, which increasingly appears in questionnaires.
Vendor review
A repeatable process covering model providers and other material vendors.
Readiness
SOC 2 scoping and program work when a customer makes a report a condition.
Depending on customers, data, systems, and market, an AI company may eventually encounter assurance requirements including SOC 2, HITRUST, or other formal programs. 22 helps determine what the market actually requires and build the operating compliance foundation behind it.
Common questions
Do AI companies face different compliance requirements?
What do enterprise buyers ask AI companies specifically?
Can 22 help with AI-specific frameworks?
We move fast. Will this slow us down?
Ship at your pace. Answer at theirs.
Tell us what your enterprise prospects are asking. We will tell you what needs to exist to answer it.