Cloud-native applications
Purpose-built web and business applications on Microsoft Azure.
Build beyond the suite
When the work calls for a custom application, public digital experience, integration, data service, or AI-enabled product, Centered Networks brings Azure architecture, application engineering, security, and Microsoft Foundry into the same operating model.
What we build
Purpose-built web and business applications on Microsoft Azure.
Grounded generative AI, search, assistants, and intelligent user experiences built around trusted source material and appropriate controls.
Connect Microsoft 365, line-of-business systems, data platforms, and external services.
Move legacy workloads toward maintainable cloud architecture, modern identity, better observability, and more resilient operations.
Design, harden, optimize, and review Azure environments for reliability, security, cost, and maintainability.
Explore infrastructure & multi-cloudUse Azure and Microsoft Foundry where the solution needs models, retrieval, orchestration, custom AI, or services beyond out-of-the-box Microsoft 365 capabilities.
Microsoft Customer Story
Centered Networks built the National Mall Gateway on Microsoft Azure for the Trust for the National Mall—a digital learning experience connected to America’s 250th anniversary.
The project demonstrates the part of Centered Networks that a traditional MSP rarely has: the ability to move from cloud operations into application engineering and responsible AI without handing the work to an unrelated development firm.
Engineering principles
Every build is designed around the conditions it will live in—not just the features it ships with. That makes the transition from “project” to “production system” much cleaner.
Azure + Managed Intelligence
A new application can introduce its own identities, data stores, secrets, AI consumption, security events, and operating requirements. Centered Networks connects Azure and custom applications back into the same Managed Intelligence disciplines used across Microsoft 365 and agents: governance, security, monitoring, data, cost, lifecycle, and business value.
The operating model is the difference between a launch and a liability. See how the disciplines fit together in Managed Intelligence.
When Azure is the right answer
Microsoft 365 is not the presentation layer for the use case.
The workflow exceeds what should reasonably be built as low-code automation.
The solution needs a defined knowledge base, model and orchestration choices, evaluation, and application-specific controls.
The value depends on reliable integration rather than another standalone interface.
Use an Azure Well-Architected Review to address reliability, security, operations, or cost before expanding the workload.
The 90-Day AI Roadmap scopes the application, the architecture, and the operating disciplines it will need—before the first sprint.