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End-users request for support in the flow of work through the Universal AI Agent, Atom. Atom provides instant answers and resolutions through the browser, Slack, Teams and email via chat, voice and vision capabilities.
Arm service agents with ITSM & ESM AI Agents so they can automate routine service management tasks like routing and risk impact analysis. More problem solving, not process management.
Atomicwork works with all the apps in your tech stack, through native integrations, APIs and MCP, to leverage context and perform end-to-end automations for cross-functional business processes.
Improve employee productivity, business efficiency, and overall business performance with the Atomicwork platform
Provide service delivery in the flow of work through the browser, Teams, Slack, email via chat, voice, and vision capabilities so your employees get contextual help they need, when they need it.
Employees can discover services relevant to them and receive personalized guidance when they need it, with minimal effort on the service team’s front.
Bring your IT teams together to rapidly respond to, resolve, and continuously learn from incidents.
IT teams don’t have to continuously monitor queues; Atom will intelligently identify major incidents, discern patterns, perform risk analysis research for changes, and even write RCA reports.
Simplify problem management for your IT team so they can focus on the problem, and not the management.
Atomicwork can automatically suggest relevant incident linking, generate a preliminary list of tasks and documents workarounds.
Empower your IT teams to perform change management with ease; Atomicwork provides an easy-to-use interface so Change Managers can quickly assess risk and impact, send for CAB approvals, automate repeitive tasks and rollout changes smoothly.
Maintain visibility and control across hardware and network assets and dependencies. Link assets to users, incidents, and lifecycle events.
A smarter, dynamic alternative to traditional CMDBs that continuously maps relationships across people, apps, assets, and events for real-time insight and automation.
Track LoB helpdesk metrics like ticket trends, SLA adherence, resolution times, and automation impact and impact metrics like deflection, Assistant performance and employee satisfaction.
End-users get instant answers and resolutions in the flow of work through the browser, Slack, Teams, and email via chat, voice and vision capabilities.
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Federate organizational context so that your human and AI agents always have the context they need to provide personalized support at their fingertips.
Automate end-to-end business workflows so that your service teams are free from the routine and the repetitive.
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Model Context Protocol (MCP), introduced by Anthropic, is all set to transform AI integration across enterprise systems and here's what IT leaders should know about MCP.
We've put together a checklist (and a comprehensive guide) to simplify evaluating and purchasing the right ITSM software for your business in 2025.
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.
Key features to look for in an
AI service management solution
