Digi’s DANI AI Assistant Simplifies Network Operations and Accelerates Troubleshooting
July 10, 2026
News
Digi International released DANI, the Digi Artificial Network Intelligence agent, an AI network operations agent natively embedded in a networking device management platform, Digi Remote Manager (DRM). DANI facilitates operators in monitoring and diagnosing network issues, identifying root causes, and recommends actions through a single conversational interface.
Distinct from third-party AI tools that are layered onto generic platforms, DANI operates within the same system that manages the devices themselves. This native integration is designed on the Model Context Protocol (MCP) and allows DANI direct access to real-time device telemetry, cellular signal data, firmware state, and configuration history resulting in faster, more accurate diagnostics with no data movement, no additional credentials and no gap between insight and action.
“AI is reshaping how critical infrastructure is managed, and the next phase of networking will be defined by systems that can interpret, decide and even act in real time, if given explicit permissions. DANI represents a foundational shift for industry. By embedding AI directly into the operational fabric of our cloud platforms, we are moving beyond visibility in a major step toward true network autonomy, giving operators the context, scale, and real-time insight needed to transform how networks are managed. This truly reduces the cost and complexity to deploy, manage and support new networks,” commented Tony Puopolo, President, Digi Managed Solutions.
DANI embeds AI-driven intelligence directly at the point of action. Users can query DANI with natural language and receive clear, actionable assistance with no need to switch tools or interpret raw data. This enables a shift from reactive troubleshooting to proactive, AI-assisted network operations.
The solution is purpose-built for the Digi ecosystem, utilizing deep understanding of device telemetry, network behavior, and operational workflows. According to the press release, DANI operates directly within current platforms already in use by customers to manage their device fleets, embedding AI-driven intelligence at the point of action to streamline operations and accelerate decision-making.
Capabilities:
- Conversational diagnostics and guidance that allow operators to ask questions in plain language and receive clear, actionable answers without manual log analysis
- Continuous device health monitoring that identifies anomalies early and surfaces potential issues before they impact operations
- Intelligent recommendations for firmware updates, configuration fixes, and performance optimization based on real-time network data
- Automated execution of routine management tasks to reduce manual workload and improve consistency across device fleets
- Multi-tenant support for managed service providers managing large-scale deployments across multiple customers
- Native integration within Digi Remote Manager, with no additional infrastructure, separate login or data movement required
For more information, visit digi.com.
Chad Cox is the Production Editor at Embedded Computing Design. His responsibilities are centered around content creation, writing and editing, and article research and development. Chad covers industry news and events and is known to interact with various industrial leaders via on-premise visits and online interviews. He is responsible for the digital footprint and dissemination of news via social media posts, advertising creation and the production of newsletters including the Embedded Computing Design’s Daily.
He is well versed in many facets of industrial computing including Edge AI, IoT, Processing, Security, Open Source, and more.
Chad graduated from the University of Cincinnati with a B.A. in Cultural and Analytical Literature and holds a master’s in education.
