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Digitate Advances Agentic AI Platform

Digitate announced the launch of its latest release designed to help IT and business leaders materialize their vision of autonomous enterprise and ticketless operations. 

Built on ignio™ – an Agentic AI platform for IT and business operations, the new release introduces a suite of AI agents capable of handling even the most complex IT and business tasks with speed and precision, supercharging employee productivity and elevating business resiliency to new heights.  

“The complexity of today’s enterprises needs intelligent agents that can understand, decide, and act with autonomy,” said Rahul Kelkar, Chief Product Officer of Digitate. “With ignio, we envisioned a future of autonomous enterprises and pioneered the fusion of AI and automation from our very first release 10 years ago. Each subsequent release has empowered our customers to move away from reactive IT and step confidently into a world of proactive, self-driving ticketless operations. Our new Agentic AI platform and AI agents mark the next phase in this evolution, empowering CIOs, SRE teams, IT and business operations to harness the power of ignio’s agentic platform and AI agents to accelerate their autonomous enterprise journey.”

Digitate’s Agentic AI framework reimagines enterprise AI as a system of autonomous, goal-oriented, and context-aware agents. These agents operate independently or collaboratively, continuously learning from their environment, understanding intent, and making informed decisions — elevating enterprise IT from rule-based automation to intelligent autonomy.

Digitate’s initial AI agents will address the following specific IT functions and personas:  

  • AI Agent for IT Event Management: Designed to autonomously ingest, correlate, and prioritize millions of IT events in real time, this agent cuts through noise, identifies patterns, and flags actionable insights—transforming event chaos into clear operational intelligence.
  • AI Agent for Incident Resolution: Built to intelligently resolve incidents across hybrid environments, this agent combines contextual understanding with autonomous execution. It handles known issues and adapt to emerging ones—significantly reducing mean time to resolution (MTTR).
  • AI Agent for SRE: Tailored for Site Reliability Engineering (SRE) teams, this agent enhances observability and tracking across the enterprise tech stack, enabling hands-on support and proactive reliability management.
  • AI Assist for CIO: Engineered for CIOs who require unified, high-level data from across the enterprise to make informed decisions about strategy, governance, business continuity, and cost optimization. 

Digitate will offer early previews of the new AI agents, with general availability to follow in the coming weeks.  

The AI agent for IT event management is now available for a free trial. 

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Digitate Advances Agentic AI Platform

Digitate announced the launch of its latest release designed to help IT and business leaders materialize their vision of autonomous enterprise and ticketless operations. 

Built on ignio™ – an Agentic AI platform for IT and business operations, the new release introduces a suite of AI agents capable of handling even the most complex IT and business tasks with speed and precision, supercharging employee productivity and elevating business resiliency to new heights.  

“The complexity of today’s enterprises needs intelligent agents that can understand, decide, and act with autonomy,” said Rahul Kelkar, Chief Product Officer of Digitate. “With ignio, we envisioned a future of autonomous enterprises and pioneered the fusion of AI and automation from our very first release 10 years ago. Each subsequent release has empowered our customers to move away from reactive IT and step confidently into a world of proactive, self-driving ticketless operations. Our new Agentic AI platform and AI agents mark the next phase in this evolution, empowering CIOs, SRE teams, IT and business operations to harness the power of ignio’s agentic platform and AI agents to accelerate their autonomous enterprise journey.”

Digitate’s Agentic AI framework reimagines enterprise AI as a system of autonomous, goal-oriented, and context-aware agents. These agents operate independently or collaboratively, continuously learning from their environment, understanding intent, and making informed decisions — elevating enterprise IT from rule-based automation to intelligent autonomy.

Digitate’s initial AI agents will address the following specific IT functions and personas:  

  • AI Agent for IT Event Management: Designed to autonomously ingest, correlate, and prioritize millions of IT events in real time, this agent cuts through noise, identifies patterns, and flags actionable insights—transforming event chaos into clear operational intelligence.
  • AI Agent for Incident Resolution: Built to intelligently resolve incidents across hybrid environments, this agent combines contextual understanding with autonomous execution. It handles known issues and adapt to emerging ones—significantly reducing mean time to resolution (MTTR).
  • AI Agent for SRE: Tailored for Site Reliability Engineering (SRE) teams, this agent enhances observability and tracking across the enterprise tech stack, enabling hands-on support and proactive reliability management.
  • AI Assist for CIO: Engineered for CIOs who require unified, high-level data from across the enterprise to make informed decisions about strategy, governance, business continuity, and cost optimization. 

Digitate will offer early previews of the new AI agents, with general availability to follow in the coming weeks.  

The AI agent for IT event management is now available for a free trial. 

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Part 3 reports on the current state of AI observability. Most experts agree: enterprises are moving faster with AI than they are with the operational discipline needed to run it safely ...

When discussing AI Observability, one of the first questions that arises: Is this just an extension of traditional observability or is this a whole new type of tool? Part 2 compares traditional observability with AI observability ...

In this extensive 14-part series that will post over the next three weeks, experts across observability and AI will provide insight and opinions on the need for AI Observability, the challenges, the benefits, the current state, and predictions for the future ...

Amid rising complexity, organizations are moving quickly toward agent-driven operations: AgenticOps, according to The Impact of Agentic AI on Network Operations, a new report from Cisco ...

AI, automation, and enterprise software give organizations an extraordinary amount of leverage. Work that once required hours can happen in minutes. Information buried across systems can be analyzed almost instantly. Complex workflows can be coordinated across teams with far less manual intervention. That leverage creates a temptation to start with the technology ...

Everyone wants to talk about models. Compute clusters. Benchmark scores that climb a fraction of a point and make headlines anyway. It's an easy conversation to have because it's measurable. But it's also increasingly beside the point ...

For more than a decade, the default infrastructure play has been simple. Move more workloads to the cloud, retire on-premises gear and treat the data center as a cost to shrink. That logic held while public cloud offered near-limitless capacity at predictable prices, and AI demand is now testing both halves of that assumption ...

Most enterprise IT leaders can tell you exactly how many applications are running across their organization. They can surface a dashboard showing telecom spend by region, pull a report on SaaS license utilization, or call up a real-time view of mobile device inventory. The data is there, and IT leaders have largely delivered on the promise of visibility. Yet, in most organizations, that visibility has not translated into business value ...

Government agencies are largely misjudging their level of AI governance as the technology permeates their organization, according to Racing to Deploy: How Public Sector AI Adoption is Moving Faster Than the Foundations Needed to Support It, a new report from SolarWinds ...