Customers
Introducing Atomicwork’s Universal Agent

Our Universal Agent empowers enterprises to deliver real-time, proactive support with voice, vision, and context-aware intelligence in the flow of work.

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Abhinav Dhar on navigating enterprise IT with AI and solving business problems
Board member and former CIO and CTO of TransUnion, Abhi Dhar, chats about tech leaders contributing to commercial value creation, embracing AI, and more.
Moving past RPA: How enterprise AI agents transform workflows
Enterprise AI agents are more than just automation tools; they usher in the new era of RPA, to Reason, Plan, and Act on how IT teams operate for better business outcomes.
How IT leaders can leverage AI for their 2025 technology strategy
Learnings from a global study on the State of AI in IT to make AI a competitive advantage for your business in 2025.
Designing Atomicwork’s customized agentic framework for enterprise needs
In our effort to scale the deployment of AI agents for diverse enterprise service management use cases, we've developed our own version of the agentic framework. Here's how we did it.
9 Big benefits of AI service management for enterprises in 2025
From driving intuitive self-service capabilities to automating basic incident resolution steps, AI service management offers several benefits for IT teams looking to redefine ITSM.
Atomicwork successfully renews ISO 27001:2022 surveillance audit
Atomicwork completes the ISO/IEC 27001:2022 audit, ensuring robust data security, operational excellence, and business continuity for our customers.
AI-driven enterprise service agents: A game changer for business transformation
Find out how AI-driven enterprise service agents can transform key functions like IT, HR, Finance, or customer service across your organization to scale your growth without inflating costs.
How Atomicwork empowers Catalyst Education in shaping better futures
Find out how Catalyst Education drives smarter work and learning by streamlining internal operations and connecting multiple teams on Atomicwork.
70-80% of AI projects in IT organizations fail. Here’s why.
Using AI effectively to achieve clear-cut business goals is challenging. Here's what to keep in mind when planning your next AI initiative in 2025.
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