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.

Common needs

What AI Governance & Risk can help you control

Shadow & unapproved AI

Identify AI use outside approved processes and create practical approval and escalation rules.

Sensitive data & privacy

Reduce risky sharing of customer, employee, confidential, or regulated information with AI systems.

Policies & human oversight

Set acceptable-use rules, review points, ownership, exceptions, and accountability.

Vendor & third-party risk

Review external AI providers, data practices, dependencies, and approval requirements.

Documentation & evidence

Organize inventories, policies, ownership, control evidence, review records, and incident procedures.

Insurance readiness gaps

Prepare clearer governance evidence and questions for discussions with appropriately licensed insurance professionals.

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 priorities
02
Assess data, people, vendor, accuracy, and operational risks
03
Design a right-sized governance framework
04
Document controls and prepare the team to use them

Frequently 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.

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