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AI-powered service management
AI-native incident management and response
Unified IT operations and service management
AI-powered ITSM for the Modern Enterprise
AI-native Incident Management for the Modern Enterprise
Communicate service health in real time
Integrate Xurrent with your full stack
A connected AI fabric, woven across the Xurrent platform, Sera AI brings together signals, service data, and workflows to reduce noise, focus teams on what matters, and accelerate action across IT and the enterprise.
Helps service desk teams resolve issues faster.
Built to streamline IT workflows and elevate the employee experience from day one.
Centralize and coordinate automation efforts across your entire enterprise.
Resolve plant floor and IT issues before they disrupt production.
Stay audit-ready while resolving issues and reducing operational risk.
Detect, respond, and resolve incidents fast to cut downtime and MTTR.
Keep your store online, even during your biggest sales moments.
Protect patient data and resolve issues fast, so care teams stay focused on care.
Standardize service delivery across every store and channel.
Resolve issues quickly with an AI-powered system that automates ticketing.
Simplify on-call scheduling, automate escalations, and reduce burnout.
Automate postmortems, AI summaries, and post-incident workflows
Real customer results with ITSM
Bajaj Finserv Health cut monthly reporting from 3 hours to zero and now acknowledges every incident in under 5 minutes with Xurrent IMR. Read how.
See how Pima College uses Xurrent IMR higher ed status pages to reduce MTTR by 49% and alert 34,000 users during outages. Read the full case study now.
See how Endeavor Communications uses Xurrent IMR telecom status pages to proactively inform 9,000 members during outages.
Insights & updates from our experts
If you’ve made it here, you’re probably thinking of what other options you have to migrate to and ensure your servers/systems stability throughout the migration process. We’ve done the research for you and this blog is all about helping you find a robust solution.
Enterprise IT organizations and managed service providers need to find permanent solutions to prevent future incidents.
Redundant everything. Backups of backups. Teams on call around the clock. And then a weasel, a typo, or a 75-year-old with a spade takes the whole thing down anyway.
Upcoming and recorded webinars from our experts.
VR dissolved the wall between the player and the world. ESM does the same for IT. HR, Finance, Facilities all run through one platform, one source of truth. Featuring AnnealTech, a Managed Experience Provider that has deployed Xurrent at the enterprise level and lived to tell about it.
The console wars decided which platform you'd bet your future on. Graphics were beside the point. This session helps you make that call with confidence.
Level Up: The IT Maturity Series by Xurrent — Session 1. Live August 6th, 2026.
Quick-reference guides to Xurrent features
Explore how Xurrent helps charities and not-for-profits do more with less. Rapid deployment, free self-service for all users, AI-powered automation, and a simple licensing model that keeps costs low so more resources go to the mission.
See how Xurrent delivers secure, audit-ready service management for government and defense organizations. ISO 27001, SOC 2 Type II, C5 attested, and GDPR aligned with BYOK encryption and cross-agency collaboration built in.
Discover how Xurrent helps professional services firms streamline service delivery across IT, HR, Finance, and client operations. Deploy in weeks, scale across offices and geographies, and keep billable teams productive with AI-powered automation and self-service.
Expert ITSM & automation insights
Gartner named Xurrent to its first ITSM Magic Quadrant in four years, as a Niche Player. To us, this highlights Xurrent as a leading vendor of choice for a specific kind of organization: the midsize enterprise.
Research In Action Just Named Xurrent a Market Leader — the Modern, Agile Choice for European ITSM.
Your Step-by-Step Guide to AI in Service Management That Actually Gets Used
Stay up to date on new features and updates.
Our August 2026 updates add a new availability calendar for reservations, self-serve custom domains, automatic knowledge article translation, chart data exports, and more.
We're just getting started with Q3. This post is a living document, and we'll keep adding new updates right here until the quarter ends on September 30th.
Our July 2026 updates add a My Reservations self-service experience, Agile Board filtering, Sera Assist reply ratings, Agent Designer success metrics, CI location hints, shared tags, and new iPaaS connectors.
Join us online and in-person to dive into the world of Xurrent and ITSM at large
Join us on Thursday June 18th in London, UK for Xurrent’s 2026 Partner Day.
You spoke, and we listened! This year, Xurrent is taking all the value, learnings, and knowledge from Connect, and bringing you three, regional events to keep you plugged into Xurrent all year long!
Experience Europe's #1 conference and trade fair for IT Service Management (ITSM) and beyond! From May 19 to 21, 2026, Seeheim-Jugenheim will be transformed into a hotspot for innovation and digital transformation.
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Connect with other Xurrent Users
Get insights and tips on how to get the most out of Xurrent
Apps, APIs, and updates
Xurrent service functionality
Eliminate manual tasks, optimize workflows, and deliver faster resolutions.
The integration with Atlassian Jira using the Xurrent Integration Service is
Learn how organizations have reduced downtime, improved 50% MTTA & MTTR, and cut costs with Xurrent IMR.
Discover Xurrent IMR's quick support, bidirectional integrations with Jira and Slack, and more cohesive incident response capabilities compared to Opsgenie.
Understand why users value Xurrent IMR for its intuitive interface, efficient incident alerting, customizable On-call schedules, and escalations.
Locked into PagerDuty or Opsgenie? We'll buyout your contract so you never pay for two tools at once.
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An emerging paradigm of AI that includes autonomous agents capable of planning, reasoning, and acting independently to achieve goals across complex environments.
The application of AI and machine learning to automate and enhance IT operations, including anomaly detection, event correlation, and root cause analysis.
Ensure that services are available when users need them.
Ensure services meet performance targets now and in the future.
A way of managing service interactions that require investigation, follow-up, or documentation over time.
The addition, modification, or removal of anything that could affect IT services.
Group that evaluates change requests.
A group of stakeholders who evaluate and approve or reject proposed changes.
Ensure that changes are made with minimal risk and disruption.
Ensures changes are implemented with minimal disruption and proper planning.
Any component that needs to be managed in order to deliver an IT service. Can include hardware, software, documentation, etc.
A database used to store information about hardware and software assets (Configuration Items).
Component of IT infrastructure tracked in the CMDB.
Maintain information about Configuration Items and their relationships.
Repository of configuration information and relationships.
Maintains the integrity of configuration information.
Align services and processes with changing business needs through ongoing enhancements.
A process that uses quality management methods to learn from past successes and failures.
A measure of customer happiness with service received.
A virtual model of a system, asset, or process used for real-time monitoring and simulation.
A virtual environment that enables employees to access tools, applications, and services they need to perform their jobs efficiently.
The application of ITSM principles to non-IT departments (e.g., HR, Facilities, Legal, Finance) to improve service delivery across the business.
Percentage of tickets resolved during the first interaction.
A class of AI models capable of generating new content (text, images, code, etc.) based on learned patterns.
The coordinated use of AI, robotic process automation (RPA), and other technologies to automate complex business processes.
An unplanned interruption or reduction in quality of an IT service.
Restore normal service operation as quickly as possible after an interruption.
Oversees the incident management process and ensures timely resolution.
Protect information assets through confidentiality, integrity, and availability controls.
Manage the lifecycle of IT assets to maximize value and minimize risks.
A framework of best practices for delivering IT services. It provides detailed descriptions of key IT practices and processes.
A set of policies and processes used to design, deliver, manage, and improve IT services offered to customers.
The process of capturing, structuring, and sharing knowledge (often enhanced by AI to auto-suggest or improve articles).
A measurable value that indicates how effectively a service or process is achieving key objectives.
A type of generative AI trained on massive text datasets to understand and generate human-like language (e.g., GPT-4, Claude, Gemini).
A subset of AI where algorithms learn from data to make predictions or decisions without explicit programming.
A backend service or orchestration layer that manages access, permissions, model routing, and interactions for AI models across environments or applications. Often used in enterprise AI deployments to govern and abstract model infrastructure.
Average time between service failures.
Average time taken to resolve a service issue.
Detect events and take appropriate action to maintain service health.
A field of AI that enables machines to understand, interpret, and generate human language. Core to chatbots, summarization, sentiment analysis, and more.
An agreement between internal support groups that supports SLA delivery.
Internal agreement supporting SLAs.
The underlying cause of one or more incidents.
Prevent incidents from recurring by identifying root causes and implementing fixes.
Identifies and resolves root causes of incidents.
Responsible for defining and improving a particular ITSM process.
An architecture that enhances LLMs by combining them with external data sources during inference to generate more accurate and up-to-date responses.
Maximum acceptable data loss measured in time.
Maximum acceptable time to restore a service after disruption.
Plan, schedule, and control the movement of releases to test and live environments.
A user request for information, access to a service, or a standard change.
A measure of the financial return of an initiative.
A digital interface where users can find information, submit tickets, or request services without needing live support.
A means of delivering value to customers by facilitating outcomes they want to achieve without owning specific costs and risks.
A structured document or database of available services provided by the enterprise or IT.
The single point of contact between users and the service provider.
Provides front-line support and interacts directly with users.
Defines service expectations and responsibilities.
A specific metric that measures the performance of a service (e.g., uptime, latency).
Ensure that all services are delivered in line with agreed service levels.
A target value or range for an SLI, defining the expected level of service performance.
Accountable for the delivery and performance of a specific service.
A user-facing interface for submitting requests, incidents, or accessing the service catalog.
Handle user requests in an efficient and user-friendly manner.
A business model in which support functions (like HR or Finance) are centralized and delivered as a service across the organization.
A documented agreement between a service provider and a customer that identifies expected service performance.
A machine learning approach that uses labeled training data to learn the mapping between inputs and known outputs.
The overall cost of owning and managing a service or asset.
Contract with an external vendor that supports an SLA.
A machine learning approach that identifies patterns or structures in unlabeled data (e.g., clustering, anomaly detection).
An AI-powered chatbot or assistant that can handle user requests, answer questions, and perform actions without human intervention.
A webhook is a way for one app to automatically send data to another app the instant something happens, instead of the second app having to keep checking for updates.
Technology that automates manual tasks and processes in service delivery.