Case Study

Global-E: Enterprise Context Layer for AI Agents

How a leading cross-border commerce platform gave AI agents secure, compliant access to customer data - through Uvi's Enterprise Context Layer.

By CEO & Co-Founder, Uvi5 min read
On this pageShow
  1. Quick facts
  2. About Global-e
  3. The challenge
  4. The solution
  5. Results

Quick Facts

GLBE
Company
NASDAQ
97 / 100
Head-to-head wins
vs MCP-enabled GPT-4.1
500+
Active users
and growing
On-Prem
Deployment
Zero data egress, native RBAC

About Global-E

Global-E (NASDAQ: GLBE) is a leading cross-border commerce technology platform that enables merchants to sell internationally with a fully localized shopping experience. The company provides integrated solutions for payment localization, tax & compliance, and logistics, serving thousands of e-commerce merchants worldwide. With a focus on enterprise-grade security and compliance, Global-E processes billions of dollars in transaction volume annually.

The Challenge

Global-E’s enterprise customers demanded AI-powered agents to automate complex cross-border commerce workflows. But giving those agents access to sensitive customer, transaction, and compliance data presented significant challenges. The company needed AI agents to access the precise data required for their tasks while maintaining strict security boundaries and regulatory compliance.

Traditional data-access approaches proved insufficient. Full database access was too permissive and created compliance risks. Hardcoded data pipelines were inflexible and difficult to maintain. Global-E needed a solution that could dynamically control which agents access which data, enforce fine-grained permissions, and maintain an audit trail of every agent interaction with sensitive information.

Their customers operate in highly regulated markets with strict data-residency and privacy requirements. The solution had to support on-premises deployment, integrate cleanly with existing enterprise infrastructure, and provide native role-based access control across multiple vendor systems.

The Solution: Uvi Enterprise Context Layer

Global-E deployed Uvi’s Enterprise Context Layer to give AI agents secure, dynamic, and compliant access to customer data. The platform sits as intelligent middleware that intercepts every data request from AI agents and applies fine-grained access controls based on role, context, and data-sensitivity level.

On-Premise Deployment

Uvi runs entirely within Global-E’s infrastructure, ensuring data never leaves their secure environment and meeting strict data-residency requirements.

Native RBAC Integration

Direct integration with enterprise identity systems lets role-based access flow naturally from user permissions to AI agent capabilities.

Vendor-Agnostic Integration

Works with any data source or AI framework, providing consistent security regardless of the underlying technology stack.

Results

97 / 100
Head-to-head wins
vs MCP-enabled GPT-4.1 on real user questions
500+
Active users
and growing across the engineering org
-20%
Support ticket time
faster resolution after Uvi rollout
“Global-e brought in Uvi to unify our fragmented knowledge landscape - eliminating wasted time, duplication, and reliance on experts - so teams and AI agents can find the right information efficiently, scale seamlessly, and boost employee satisfaction.”
Greg Sirota
Greg Sirota
Knowledge Manager, Global-e (NASDAQ: GLBE)

Ready to transform your enterprise AI?

See how Uvi’s Enterprise Context Layer can enable secure, compliant AI agents in your organization.