Providing Small to Mid-Sized Businesses and Non-Profits With Artificial Intelligence Acceptable Use Policies

February 12th, 2026 by admin

Cybersecurity Shield

Leading MTSP Introduces AI Acceptable Use Framework to Protect Organizations While Unlocking Productivity Gains

PLYMOUTH, MN - Nova Technologies, a leading managed technology services provider (MTSP), announced today the rollout of Artificial Intelligence (AI) Acceptable Use Policies and Framework designed to help small and mid-sized businesses (SMBs) as well as non-profit organizations safely adopt AI without exposing themselves to unnecessary risk.

AI tools are now widely used by employees to draft emails, summarize meetings, analyze data, and automate routine tasks. While these tools offer significant productivity benefits, many organizations are unaware that employees are often using AI without clear guidelines, which can unintentionally put sensitive company or client information at risk.

“AI is already in the workplace – whether companies and non-profits have formally approved it or not,” said Pete Jones, Owner/President at Nova Technologies. “The question isn’t whether organizations should use AI. The question is whether they’re using it responsibly. Without clear boundaries, even well-intentioned employees can accidentally expose data, violate compliance requirements, or create legal issues.”

Nova Technologies’s AI Acceptable Use Policies and Framework provides businesses with clear, practical rules around how AI can and should be used inside an organization. Rather than restricting innovation, the goal is to enable AI adoption while protecting client trust, company data, and operational integrity.

The framework helps organizations define which AI tools are approved for work use, what types of information should never be entered into AI solutions, and when human review is required before AI-generated content is used in customer-facing or high-impact decisions. It also establishes a simple process for reporting issues if AI is used improperly – ensuring problems are

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