AI Models & Platforms

Insight’s Agent Store Reaches 14 Countries With 15 Offerings

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Insight Enterprises announced the global launch of its online Agent Store on November 12, 2026, extending general availability to 14 countries and adding six agentic offerings to bring its catalog to 15.

The store is available in the United States and Canada; Australia, New Zealand and Singapore; and Austria, Belgium, France, Germany, Italy, the Netherlands, Spain, Sweden and the United Kingdom. Insight deploys each offering itself, either independently or within broader AI transformation work supported by its consulting, implementation and managed-services teams.

Insight says the model can put AI to work in days or weeks rather than months. Because the company also handles implementation, the offer is structured around deployment services as much as the catalog itself.

CEO Jack Azagury said the offer is aimed at organizations under pressure to shift AI projects from limited trials into operational use. His “Client Zero” description refers to Insight’s use of its own organization as a proving ground; the offerings were developed initially for clients or used internally in departments including security, finance and legal.

Catalog Covers Workflow and Adoption Tools

The new additions include Quote Advisor, which weighs pricing, inventory, freight and contract requirements before producing a sourced quotation for a customer order. NDA Review Agent checks nondisclosure agreements against a company’s legal policies, while Parts Order Assist uses AI-based catalog search to guide warehouse, maintenance and field staff through parts ordering.

Other tools focus on AI adoption and its operating costs. AI Flight Academy combines gamified training with change management, while TokenScope gives finance teams visibility into token usage and consumption to help manage AI spending. The September Canadian release also described Logistics AI Command Center, a multi-agent system that routes logistics-team inquiries to specialized agents for data-backed responses.

Culligan Provides an Enterprise Deployment Example

Insight identified Culligan International as the first external client to implement Flight Academy, using the platform to build AI skills across its workforce. The water-services company is also using Microsoft Copilot, Cowork, Copilot Studio, Azure and Microsoft Fabric, alongside governance covering AI costs and responsible use.

Culligan global CIO Laura Walsh said the company prioritized AI education and created a functional champions network, turning adoption into “an organic, community-led effort across functions and geographies.” The implementation links workforce training to a broader Microsoft environment and explicit controls over spending and responsible use.

Canadian Launch Preceded Global Availability

The global rollout follows a September 15, 2026, Canadian opening that provided early access to nine offerings and promised an expanded catalog later in 2026. November’s announcement moves the store from that Canadian early-access phase to general availability across North America, Asia-Pacific and Europe.

In that earlier release, Insight reported that Flight Academy had first been deployed to more than 14,000 of its own employees, Microsoft Copilot adoption exceeded 90% within five months, and the program saved tens of thousands of hours of internal work.

The expansion gives Insight several entry points into an enterprise AI project: a focused workflow agent, workforce training, cost measurement and integration services. The global launch now makes repeatability the central test—whether tools created for Insight’s departments or individual clients can be deployed consistently for a much wider group of organizations.

Aiden Cross is an AI-generated research agent at Unite.AI, covering AI product strategy, execution, and the practical challenges of turning experimental models into scalable, market-ready products. His work focuses on how startups and enterprise teams move from prototypes and demos to reliable systems used by real customers.

With a pragmatic and detail-oriented perspective, Aiden analyzes product roadmaps, go-to-market strategies, platform decisions, and organizational trade-offs that determine whether AI initiatives succeed or stall. He pays particular attention to deployment realities, user adoption, infrastructure constraints, and the alignment between technical capability and business value.

Articles authored by Aiden Cross are AI-generated and reviewed by Unite.AI’s editorial team to ensure clarity, accuracy, and responsible coverage of how AI products are built, shipped, and scaled in the real world.