What challenges did Levi Strauss & Co. face before AI implementation?

Employees were navigating fragmented systems and complex workflows, making it difficult to access information and complete tasks quickly. Multiple agent entry points increased complexity and slowed decision-making. Valuable insights were difficult to access and act on in real time.

What was the impact of the AI solution?

The approach simplifies how work gets done and reduces cognitive load for employees. It accelerates decision-making and enables real-time access to insights across the business. It provides a single trusted answer instead of forcing employees to navigate multiple systems or agents.

Rank#566of 3,107

Source

Microsoft

Levi Strauss & Co. builds a unified Super Agent with Microsoft Foundry and Copilot

Use case typeAgent orchestrationUpdated 1 day ago

Levi Strauss & Co. is scaling its direct-to-consumer business by using Microsoft Foundry and GitHub Copilot to build purpose-driven agents and a unified Super Agent experience in Microsoft Teams. The Super Agent is designed to be a single entry point that routes employee requests to specialized downstream agents for SAP, HR, retail and inventory, finance, and IT workflows while accessing governed live data from systems of record. The company also uses Microsoft 365 Copilot for enterprise productivity and Azure as the foundation for global scale and SAP workloads.

Organization: Levi Strauss & Co.
Industry: Retail
Location: United States
Published: July 2026

Reported outcomes

Strategic outcomes

Other strategic outcomeSimplified employee workflowsBetter decisions & insightAccelerated decision-makingCost efficiencySingle trusted answer experience

Primary read

Use case focus

Showing 3 of 3

1Agent orchestration
2Workflow orchestration
3Employee productivity

Employees were navigating fragmented systems and complex workflows, making it difficult to access information and complete tasks quickly.
Multiple agent entry points increased complexity and slowed decision-making.
Valuable insights were difficult to access and act on in real time.

Deployed Microsoft 365 Copilot across the enterprise for productivity support.
Built purpose-driven agents with Microsoft Foundry as the orchestration layer.
Created a unified Super Agent experience in Microsoft Teams to serve as a single entry point for employee requests.
Used Microsoft Agent Framework to support planning and intent routing across specialized agents.
Connected agents securely to live governed data in enterprise systems such as SAP, HR platforms, and retail systems.
Relied on Azure to modernize infrastructure, unify data, and support global scale.

Technologies

Microsoft 365 Copilot Microsoft Foundry GitHub Copilot Microsoft Teams Microsoft Agent Framework Azure SAP

The approach simplifies how work gets done and reduces cognitive load for employees.
It accelerates decision-making and enables real-time access to insights across the business.
It provides a single trusted answer instead of forcing employees to navigate multiple systems or agents.

Architecture

Microsoft 365 Copilot is used for initial enterprise productivity. Microsoft Foundry serves as the orchestration layer for purpose-driven agents. Microsoft Agent Framework supports planning and intent routing. Microsoft Teams is the unified front-end interface for employees. Specialized downstream agents connect securely to governed live data from enterprise systems such as SAP, HR, retail, finance, and IT platforms. Azure provides the infrastructure foundation for SAP workloads and global scale.

Sources & evidence1

Groundedness: 5/5Type: Customer StoryPublished: Jul 12, 2026Publisher: MicrosoftEvidence: PrimaryConfidence: High

Primary source

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