AI is becoming embedded across networking and connectivity – from automation tools to predictive analytics. However, in most environments, AI is still separated from the infrastructure it’s meant to support.
Rather than interacting with live systems, it typically relies on dashboards, exported data or manual inputs. This is where Model Context Protocol (MCP) is becoming increasingly important, giving AI a structured way to connect with external tools, data and operational environments.
Digi Artificial Network Intelligence (DANI) builds on this approach, enabling the user’s AI to interact directly with network infrastructure in real time.
What is Digi DANI?
Digi‘s DANI is an AI-driven solution that allows AI platforms to securely access, analyse and interpret live network infrastructure data.
It works by connecting AI tools such as ChatGPT, Microsoft Copilot and Claude to Digi-managed devices and networks – enabling natural language queries to return real-time operational insight without having to go into Digi Remote Manager.
This connectivity is enabled through Digi’s MCP, which allows AI systems to interface with external environments in a structured and secure way.
How DANI works
DANI acts as a bridge between AI tools and live infrastructure.
When a user submits a query, DANI uses MCP to translate that request into actions that can retrieve relevant Digi Remote Manager data from connected devices and management platforms.
For example, users can ask:
- Which devices have gone offline in the last 24 hours?
- Where are there signs of signal degradation?
- Are any devices operating outside of expected configurations?
DANI processes these queries by retrieving and analysing live data, returning contextual answers instantly.
This removes the need to manually navigate dashboards or correlate information across multiple systems.
Why MCP-based architecture matters
A key part of Digi DANI is its MCP-based architecture, which gives organisations flexibility in how they connect AI to their infrastructure.
Rather than locking users into a single AI model or platform, MCP provides a connective layer between Digi operations and the wider AI ecosystem.
This matters because it supports:
-
Your AI, your choice: Organisations can use the AI model they have already standardised on, rather than needing to adopt a separate proprietary platform.
-
Integration, not isolation: MCP makes it possible to build AI agents that connect Digi operations with other systems, such as ticketing platforms, cloud environments and wider vendor ecosystems.
-
A future-proof foundation: As AI models continue to evolve, MCP remains the structured layer that enables them to interact with infrastructure and operational data.
-
Scalable economics: Organisations can use their own AI account and token budget, while Digi hosts the MCP endpoint that enables secure access to infrastructure data.
Key capabilities of DANI
DANI introduces a new way to interact with network infrastructure, with capabilities including:
Natural language querying
Infrastructure data can be accessed using simple, conversational questions rather than complex dashboards or command-line tools.
Real-time network visibility
Insights are based on live data, not delayed reports or snapshots.
Faster troubleshooting
Issues can be identified and understood more quickly by querying across devices and datasets simultaneously.
Reduced operational overhead
Less time is spent switching between platforms or correlating logs manually.
Why AI-driven network intelligence matters
Managing modern networks often involves large numbers of distributed devices, multiple management platforms, and constant streams of performance data.
This can lead to fragmented visibility, slower troubleshooting, and increased operational complexity.
By enabling AI to interact more directly with infrastructure, DANI helps streamline access to insights and supports more efficient network operations.
Security and controlled access
DANI is designed with security and governance in mind.
The use of MCP provides a structured and controlled interface between AI tools and infrastructure, ensuring that access to data is permission-based and interactions are auditable.
This allows organisations to benefit from AI-driven insights while maintaining control over sensitive systems.
The shift towards AI-driven infrastructure
Digi DANI reflects a broader shift in the networking industry – moving from AI as a passive analytics tool to a more active role in network operations.
By enabling AI to interact directly with infrastructure, organisations can gain real-time insight, reduce manual effort, and make faster, more informed decisions.
What's available now – and what's coming next
Digi is taking a phased approach to DANI, beginning with the MCP Server as the secure foundation for AI-driven network insight.
Available now, the Digi MCP Server supports Digi Remote Manager giving compliant AI platforms read-only access to monitoring and management data through hosted, API-key-authenticated endpoints.
This read-only approach is intentional. It allows AI to query, analyse and interpret network data without making changes to live operations.
Looking ahead, Digi is developing an in-app DANI Agent, designed to build on the MCP Server with expanded capabilities such as write operations, messaging and proactive network management.
In short, the MCP Server provides the foundation, while the DANI Agent is set to become the experience layer – moving from AI-powered insight towards more active network operations.
FAQs
What is Digi DANI used for?
Digi DANI enables AI-driven analysis of network infrastructure, allowing users to query live data, monitor performance and troubleshoot issues using natural language.
How does Digi DANI work?
DANI uses the Model Context Protocol (MCP) to connect AI tools to live network environments, enabling real-time data access and analysis.
What is MCP in Digi DANI?
MCP (Model Context Protocol) is the technology that allows AI platforms to securely interface with external systems, such as network infrastructure, in a controlled and structured way.
Can AI manage network infrastructure?
AI can support network management by analysing data, identifying issues and providing insights. Solutions like DANI enable more direct interaction with live infrastructure.
Discover our Digi solutions
Westbase.io is the leading Digi UK and European distributor. For further information on the above, or to enquire about Digi’s solutions, get in touch with our team on +44 (0) 1291 437 567, +31 (0) 35 799 2290 or hallo@westbase.io.
Alternatively, just hit the button below to reach us via our website’s contact form: