Digi embeds AI agent in device management platform

  • July 1, 2026
  • Steve Rogerson
  • Digi

Digi has launched DANI, a purpose-built AI network operations agent natively embedded in the Digi Remote Manager (DRM) networking device management platform.

DANI stands for Digi Artificial Network Intelligence, and is embedded directly within DRM as a value-added service. It helps network operators and managed service providers rapidly monitor and diagnose network issues, identify root causes, and surface recommended actions through a single conversational interface.

Unlike third-party AI tools layered onto generic platforms, DANI operates from within the same system that manages the devices themselves. This native integration, built on the MCP model context protocol, gives DANI direct access to real-time device telemetry, cellular signal data, firmware state and configuration history. The result is faster, more accurate diagnostics with no data movement, no additional credentials, and no gap between insight and action.

DANI is the next step in a broader platform evolution. Over the past year, Digi has invested in foundational capabilities that make AI-driven network operations possible at scale, including Digi eSIM, which enables flexible, programmable connectivity for distributed device deployments, and Remote Reach, which gives operators secure out-of-band, on-demand access to remote devices for real-time diagnostics and remediation. Together, these capabilities are part of the operational backbone on which DANI’s intelligence runs, turning insights into actions across the full device lifecycle.

Industrial networks are expanding rapidly as organisations connect more devices across distributed environments, raising expectations for uptime and performance. Two-thirds of industrial companies experience unplanned downtime at least once a month, at a cost of $125,000 per hour. Despite this pressure, IT and OT teams remain constrained, forcing operators into time-consuming, reactive workflows that rely on alerts, manual log analysis and fragmented data across systems.

DANI addresses this by embedding AI-driven intelligence directly at the point of action. Operators can ask DANI questions in natural language and receive clear, actionable guidance without switching tools or interpreting raw data, enabling a shift from reactive troubleshooting to proactive, AI-assisted network operations.

“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,” said Tony Puopolo from Digi (www.digi.com). “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 towards 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.”

DANI is designed for the Digi ecosystem, with deep understanding of device telemetry, network behaviour and operational workflows. It operates directly within the platforms already used to manage device fleets, embedding AI-driven intelligence at the point of action to streamline operations and accelerate decision-making. For example, an operator managing a fleet of 500 devices could reduce their diagnostic time from hours to minutes.

It delivers a set of capabilities designed for real-world network operations:

  • 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 optimisation 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 DRM, with no additional infrastructure, separate login or data movement required

This represents the intelligent layer on top of a platform purpose-built for modern network operations. Users benefit from faster mean time to resolution, reduced operational workload and the ability to scale device management without adding headcount, all within the platforms and connectivity infrastructure they already use.

DANI (www.digi.com/solutions/by-technology/dani) is available for early access.