Integrate AI as a Part of Your Architecture

AI

At Alpha Solutions, we approach AI as a new service layer within the digital architecture — not "just" as a standalone system.

AI should not necessarily be viewed as an IT project. It has to be a part of the strategy and your IT-architecture so data, processes, and knowledge are being enabled across platforms. Securely, contextual, and controlled.

AI Service Foundation

As with any real-life construction project, the foundation determines long-term stability. At the core of the architecture is our AI Service Foundation, which manages access, context, and integration across systems. It’s built on the Model Context Protocol (MCP), ensuring that different AI agents — public, external, and internal — can work on the same datasets with the correct authorization.

Semantic search across internal and external data sources.
Automated data ingestion and embedding using Azure AI Document Intelligence and OpenAI text-embedding models.
Controlled access to CRM, ERP, CDP, and document repositories.
Enabling AI agents to perform business actions.

both internal and application-specific agents (such as Microsoft Copilot, Jira’s Rovo, or website chatbots) can access your organizational knowledge — but only within the defined access levels that you control.

Controlled Access and Data Security

Access is governed through MCP Access Control, which enforces principles such as “On Behalf Of”. This ensures AI agents only see the data and perform the actions they’re authorized to.

For example, a public agent on your website might only have access to product information, while an internal agent in Jira can access technical documents and project data.

From Websites to Internal Systems

When we design your architecture, it enables AI agents to operate across multiple environments:

  • Public websites and extranets with contextual search and conversational interfaces.

 

  • Application-specific AI agents (e.g., Copilot, Rovo) directly connected to internal data sources.

 

  • Internal agents within service and development environments, with full context from CRM and ERP systems.

Why Embedding AI in the Architecture Matters

The goal is to operationalize AI as a context-aware technology layer — connecting data, processes, and users through shared protocols and semantics.

It may sound technical, but it’s ultimately about making AI a natural part of your digital infrastructure — not a separate tool, but an embedded component of your operations, used correctly and effectively across the organization.

Let’s talk about how you can best leverage AI within your architecture.

Looking to get more out of AI?

Contact us to learn how we can help you.

Image of Jakob Huus Andreasen

Jakob Huus Andreasen

Director of Sales

Mobile: 23 25 26 12

Email: jha@alpha-solutions.com