Find Out Where AI Is Already Touching Your Business
AI adoption rarely waits for a formal strategy.
Employees begin using public AI tools. Vendors add AI features to software you already own. Generated content starts influencing research, analysis, communications, purchasing, technical work, or management decisions.
Before you can govern AI well, you need to understand where it is already being used.
The CAVA Suite AI Exposure Audit is a focused, one-week diagnostic designed to give management that visibility.
What the Audit Does
The audit identifies how AI is currently being used across your organization, where unmanaged exposure exists, and which issues deserve management attention first.
We look at employee-selected tools, personal and company accounts, vendor-embedded AI features, workflows, information handling, review practices, and practical business opportunities.
The goal is not to produce a theoretical AI strategy.
The goal is to answer a simpler question:
What is happening now, and what should management do next?
What You Receive
A typical AI Exposure Audit includes:
- Current AI-use snapshot
- AI exposure map
- Vendor AI exposure review
- Management exposure scorecard
- Top five immediate risks
- Top five near-term opportunities
- Prioritized 30, 60, and 90-day action plan
- Executive decision briefing
The findings distinguish confirmed facts, self-reported information, consultant interpretation, and unresolved questions so leadership can see both the evidence and the uncertainty.
How the Engagement Works
The audit is designed to move quickly.
Preparation begins before the audit week with a short survey, information request, and interview schedule.
During the five-business-day engagement, CAVA Suite reviews representative workflows, current policies and technology, employee use patterns, vendor AI features, account types, and data-handling practices.
The week closes with a management review, prioritized actions, and an executive briefing.
What the Audit Does Not Do
The AI Exposure Audit is diagnostic.
It does not create the full governance framework, draft a complete policy suite, implement software, perform cybersecurity testing, provide legal or regulatory opinions, complete procurement, or validate a production AI system.
Those may become follow-on projects if the findings justify them.
Who This Is For
The AI Exposure Audit is a good starting point when leadership knows AI is already being used but cannot clearly answer questions such as:
Typical Engagement
Timeline: One business week
Typical fee: $3,500 to $7,500 for standard small and mid-sized business scope
Larger or more complex environments are scoped separately.
Start with Visibility
You do not need a large AI transformation program to begin managing AI more intelligently.
You need a reliable picture of what is already happening.