Acceptable use policy
Give employees plain-language rules for approved tools, sensitive information, account use, human review, and incident reporting.
Practical AI Governance
Give your team clear rules for using AI safely.
Monreal IT helps SMBs create workable AI policies, data boundaries, approval processes, and training that protect the business without blocking useful innovation.
Guardrails That Get Used
Turn shadow AI into a managed business capability.
Employees are often using AI before leadership has a policy. We help you understand current use, approve the right platforms, protect sensitive information, and set expectations people can actually follow.
Data and tool boundaries
Define which data classifications can reach public tools, business AI platforms, private assistants, and custom agents.
Ongoing oversight
Create ownership, approval, vendor review, training, logging, and periodic review practices that can mature with the business.
How It Works
Put governance in place without bringing work to a halt.
Inventory
Find the AI tools and informal workflows already in use across the organization.
Classify
Map business data, risk levels, compliance obligations, and acceptable use boundaries.
Enable
Publish practical policy, approve tools, configure controls, and train employees with real examples.
Review
Track exceptions, incidents, vendors, and new use cases so governance keeps pace with adoption.
Straight Answers
Frequently asked questions
Does a small business really need an AI policy?
Yes. A short, understandable policy helps employees know which tools are approved, what information must stay private, and when human review is required.
What should an AI acceptable use policy cover?
It should cover approved tools, prohibited data, account requirements, output review, intellectual property, client disclosure, incident reporting, and who can approve new use cases.
Can governance slow down AI adoption?
Good governance makes adoption easier because teams have clear boundaries. The goal is to enable useful work safely, not create paperwork that no one follows.
How often should AI governance be reviewed?
Review it whenever tools, regulations, data practices, or material use cases change, with a scheduled review at least annually.
Begin With a Practical AI Plan
Choose one valuable workflow, secure it properly, and prove the result before scaling.