Chicago, IL, United States – October, 6 – Intellias, a global partner for AI-enabled product engineering and digital solutions, today launches Agentic ServiceOps a managed IT service that applies governed agentic AI across IT service management (ITSM) and IT operations management (ITOM), from the service desk to the infrastructure behind it. It helps organizations resolve more IT work end to end, breaking the link between rising complexity and rising costs.
Enterprise IT service desks face pressure from growing request volumes, fragmented tools and talent shortages. Meanwhile, infrastructure incidents surface as scattered alerts across monitoring, cloud, and ITSM platforms with no single owner connecting the signals. Many organizations also struggle to move AI investments beyond isolated pilots into measurable operational value.
Intellias’ Agentic ServiceOps adds an Intelligent Orchestrator Layer to clients’ existing IT service management and IT operations management environments, building on the systems they already run rather than replacing them. Work is captured, enriched with identity, asset and service history, and classified at intake. When the answer already exists in ticket history, runbooks or configuration data, agents resolve and close the request at L0 with no human intervention. Cases requiring engineering expertise arrive complete with the relevant context, enabling engineers to focus on resolution rather than investigation. And where a pattern keeps repeating, L3 proactive engineering addresses the underlying cause, so the ticket stops being generated in the first place. For clients, this means:
- More work is resolved on first contact, with less bouncing between tiers;
- Fewer escalations and repeat tickets as the system learns the organization’s patterns;
- Demand is absorbed as it grows, without headcount growing at the same rate;
- Experts are freed from routine work to spend their time where judgment matters.
Beyond the service desk, the solution supports infrastructure and applications by connecting data across cloud, monitoring, and IT service platforms. It identifies issues early, determines their cause, and accelerates incident response. All actions follow strict security and compliance policies, with every decision recorded for auditing.
Every enterprise is being told agentic AI will run its IT. Very few have seen it run in production. We applied Agentic ServiceOps to our own service desk and infrastructure first and are now running it for customers. Agents resolve requests at intake, correlate incidents across monitoring and cloud, and hand engineers complete cases rather than raw alerts, inside guardrails the enterprise sets. That is how you scale the service desk and the operations floor, not the headcount, and keep investment tied to demonstrated value.
The service combines three things:
- The Intelligent Orchestrator Layer;
- Cross-functional teams of agentic AI engineers who build and govern targeted agents;
- Certified engineers operating 24/7 across EMEA, the Americas, and APAC against agreed SLAs and experience-level agreements (XLAs).
It runs under ITIL 4-aligned processes, ISO/IEC 27001 and SOC 2 Type II controls, and outcome-based commercial models. It integrates with multiple over the shelf software including ServiceNow, Microsoft, and AWS technology ecosystems.
Inside its own IT function, Intellias runs Agentic ServiceOps end to end, where agents triage, classify, prioritize, and assign first-line requests with 95–96% classification accuracy. For a leading European mobility enterprise, Intellias deployed AI-driven automation across more than 100 business and IT processes, reducing support workloads by 90%. The Intellias Pragmatic AI Playbook also identifies IT service operations as one of six domains where enterprises can turn AI investment into measurable business value.
Agentic AI creates the most value when it becomes part of how an organization operates, rather than another isolated technology layer. The goal is to enable AI with the right context and guardrails to handle more operational work, while people retain oversight and focus their expertise where it matters most. This is the pragmatic path from AI experimentation toward increasingly autonomous operations.
Agentic ServiceOps is available to enterprises now, starting with a scoped pilot on a defined service area and scaling as results are proven. It runs on the platforms clients already own, including ServiceNow, Jira Service Management, Datadog, Dynatrace, and PagerDuty, across Azure, AWS, Google Cloud, and on-premises infrastructure. It uses open agent-interoperability standards to orchestrate the AI agents organizations already license.