AI Center

What is Managed Private AI?

Private AI uses infrastructure your business owns or controls. Approved enterprise cloud services offer a separate option with contractual and administrative controls; hybrid deployments combine both. Data stays local only for workloads configured for local processing.

Public AI vs. Private AI

When employees use ChatGPT or Copilot for work tasks, their prompts are processed on servers operated by the AI provider and may be subject to that provider's data handling terms. Private AI processes queries locally or in a controlled environment.

What Can Go Wrong Without AI Governance?

Employees may enter client data, financial records, medical information, or confidential contracts into public AI tools without realizing the exposure. Without a policy or monitoring, the organization may have little visibility into this use.

Role-Based Access in AI Systems

Role-based access means different employees see different information within the AI system. HR can access HR policies; accounting can access financial procedures. Each department's knowledge is scoped to what is appropriate for that function.

Human Review Requirements

AI outputs can be incorrect, incomplete, or confidently wrong. For decisions with meaningful consequences — financial, medical, legal, operational — human review before acting on AI output is essential, not optional.

AI Governance: What It Means in Practice

Governance means written policies, defined access controls, logged usage, human approval gates for high-stakes outputs, an incident response plan for AI-related events, and a named owner responsible for oversight.