AI governance
Put clear rules and accountability around everyday AI use
AI governance is the practical system your business uses to decide where AI may be used, what information is protected, who reviews important outputs, and who is accountable for each use case.
When this helps
Common business gaps
Employees use unapproved AI tools without consistent rules
Sensitive information may be entered into tools without review
Important outputs are used without qualified human oversight
No one owns vendor approval, monitoring, or incident response
What you receive
Practical deliverables
AI-use inventory and ownership map
Approved-tool and use-case framework
Human-review and accountability rules
Vendor oversight and incident process
Prioritized governance roadmap
How it works
A clear path from question to action
01
Discover current tools, workflows, and business priorities02
Assess data, people, vendor, accuracy, and operational risks03
Design a right-sized governance framework04
Document controls and prepare the team to use themFrequently asked questions
Questions about AI Governance for Small Businesses
No. Small businesses often adopt AI quickly and with fewer internal specialists. A right-sized framework can be short, practical, and focused on the tools and risks that actually exist.
Start with an inventory of AI tools, a written policy, assigned ownership, prohibited-data rules, human-review requirements, vendor approval, and a way to report problems.
Good governance makes useful AI easier to approve and use. It creates clear boundaries so employees know what is allowed, what needs review, and where to ask questions.
Next step
Build AI controls that fit your business
Tell us how your team currently uses AI and what you want to improve. We will help you identify a practical next step.
Request an introduction