AI designed to align with fiduciary responsibility.
GuardBox AI is an on-site AI server built for labor unions — keeping sensitive data inside your environment, not in the cloud.

Labor union administrators and trustees hear two messages at the same time:
For fiduciaries, that tension creates a natural pause.
If this goes wrong, someone has to defend the decision.
Avoiding AI entirely can feel like the safest approach, but it also leaves real value on the table and staff without modern tools.
The Problem Isn’t AI, It’s Exposure
The real risk comes from:
Most AI platforms were built for convenience. Labor unions require custody, control, and defensibility.
GuardBox AI is a physical, on-site AI appliance designed specifically for labor unions.

GuardBox AI operates inside your security perimeter.
Your data goes into the box. It does not go out to unknown third parties.
GuardBox AI is intentionally designed to mirror protections unions already trust:
For many benefit offices, this feels less like “trying AI” and more like adding a protected system inside an existing security perimeter.
Before GuardBox AI is delivered, it is prepared for your organization.

Each deployment includes:
GuardBox AI does not arrive as a generic AI tool. It arrives ready to support your staff responsibly from day one.
GuardBox AI is structured as a modest, predictable operating expense, not a major technology project.
It is designed to be approachable for labor union benefit offices that have never previously budgeted for AI, and to fit comfortably within existing operational approval processes.
Rather than enterprise software pricing or large IT initiatives, GuardBox AI follows a simple structure: a modest setup followed by a manageable, fixed monthly cost over a defined term.
Clear, all-in pricing is always provided before any commitment is made.
GuardBox AI is designed for fiduciaries who want to explore AI without increasing exposure.
Ask your fund counsel whether an on-site, non-cloud AI system like GuardBox AI aligns with your fiduciary and data-protection obligations.