AIOps Services
Xcelore helps enterprises move from reactive IT operations to AI-assisted, governed operations by unifying telemetry, correlating events, and automating resolution across hybrid and multi-cloud environments.
Talk to an AIOps SpecialistExperience Built for Enterprise AI Operations
End-to-End AIOps Solutions for Modern IT Operations
Connect observability, intelligent automation, predictive insights, and governed remediation to simplify complex IT environments, resolve issues faster, and build more resilient operations at scale.
Not Sure Where AIOps Fits Yet?
Assess your observability, operations, automation maturity, and AI readiness to uncover high-impact opportunities and define a practical roadmap before investing in a full-scale AIOps implementation.
Book Your AIOps AssessmentAIOps Services Built for Industry-Specific Operational Needs
We apply responsible AI practices according to the unique risks, workflows, data requirements, and regulatory expectations of different industries.
How Could AIOps Transform Your IT Operations?
Build intelligent IT operations around your infrastructure, applications, data, and operational workflows. Create proactive AIOps capabilities that improve visibility, automate responses, reduce complexity, and strengthen system reliability.
Build Your AIOps Foundation- Intelligent Infrastructure Monitoring
- Predictive Incident Detection
- Automated Issue Resolution
- Real-Time Operational Insights
- Application Performance Intelligence
- Proactive IT Operations
How Xcelore Ensures AI Ops Security, Privacy & Compliance
Xcelore secures access, deployment pipelines, telemetry, model changes, incidents, and runtime behavior. Xcelore considers the applicable AI, security, privacy, and sector requirements throughout operations.
Compliance
Ready to Build Smarter, More Resilient IT Operations?
Move beyond reactive monitoring with AIOps engineering that connects observability, intelligent analysis, predictive operations, and governed automation to improve reliability, accelerate resolution, and scale operational intelligence across your enterprise.
Our Structured Approach to AIOps Implementation and Scale
Our AIOps delivery process takes your organization from understanding the current operational environment to implementing intelligent automation and continuously improving performance.
Diagnose the Operations
We audit current tooling, telemetry quality, incident history, and automation maturity to identify where AIOps can deliver the greatest operational impact and where data or observability gaps need to be addressed first.
Architect the Intelligence
We define the target AIOps architecture, including which signals to unify, how correlation and root-cause analysis should work, and which remediation actions are safe to automate first. Each decision is aligned with your operational and governance requirements.
Activate Alongside Live Operations
We integrate with your existing observability, ITSM, cloud, and operational platforms. The AIOps layer is introduced incrementally, allowing teams to adopt intelligent detection and automation without disrupting ongoing operations.
Evolve Toward Autonomous Operations
Post go-live, we continuously tune detection, correlation, and automation workflows while tracking MTTD, MTTR, alert-noise reduction, automation coverage, and incident recurrence. As confidence grows, we expand automation to address more operational scenarios safely.
Why Businesses Choose Xcelore for AIOps Engineering?
Engineering-first delivery
We build and integrate inside your observability and ITSM stack, and hand over runbooks your on-call team owns, every recommendation ships as a working, tested playbook.
Tool-agnostic integration
We integrate with the platforms already wired into your on-call rotation, so nothing has to be ripped out to get started.
Governance built in
Every automated action ships with an approval gate, a blast-radius limit, and a tested rollback before it is ever allowed to run unattended.
Full-stack cloud and data expertise
AIOps outcomes depend on the infrastructure and data pipelines underneath; our cloud, DevOps, SRE, and data engineering teams support the same engagement end to end.
Outcome-based reporting
Engagements are measured against MTTD, MTTR, alert volume, false-positive rate, and automation coverage, not vanity dashboards.
Works Across Your Stack
Hybrid, multi-cloud, and on-premise environments, including IT and OT together, not a SaaS-only tool that assumes everything already lives in one cloud.
Why Businesses Choose Xcelore for AIOps Engineering?
We build and integrate inside your observability and ITSM stack, and hand over runbooks your on-call team owns, every recommendation ships as a working, tested playbook.
We integrate with the platforms already wired into your on-call rotation, so nothing has to be ripped out to get started.
Every automated action ships with an approval gate, a blast-radius limit, and a tested rollback before it is ever allowed to run unattended.
AIOps outcomes depend on the infrastructure and data pipelines underneath; our cloud, DevOps, SRE, and data engineering teams support the same engagement end to end.
Engagements are measured against MTTD, MTTR, alert volume, false-positive rate, and automation coverage, not vanity dashboards.
Hybrid, multi-cloud, and on-premise environments, including IT and OT together, not a SaaS-only tool that assumes everything already lives in one cloud.
Let’s talk
Frequently Asked Questions
Can Xcelore manage AIOps on an ongoing basis after go-live?
Yes. Our managed services team can take operational ownership post-implementation, including tuning, expansion, and SLA-backed support.
How is this engagement priced?
Three models: a fixed-scope readiness assessment that baselines your telemetry quality and incident history, a project-based build for teams that already know which correlation and automation coverage they need, and a managed-operations retainer where our team tunes and expands the AIOps layer alongside your on-call rotation. We scope this on the first call.
What is the minimum commitment to get started?
The AIOps Readiness Assessment. It baselines current MTTD, MTTR, and alert volume, grades telemetry coverage against your critical services, and returns a prioritized automation roadmap with no obligation to continue into implementation.
Will AIOps replace our current monitoring tools?
No. Our approach integrates with what you already run rather than replacing it, so existing tooling investments stay intact.
Who operates the automation once the engagement ends?
Your on-call team. Playbooks are version-controlled in your repositories, and we define escalation paths and rollback procedures alongside your engineers during delivery. Nothing is left as a black box only we can operate.
Turn Every Operational Signal Into Actionable Intelligence.
Connect observability, intelligent analysis, predictive insights, and governed automation to build more resilient IT operations that reduce noise, accelerate resolution, and improve reliability across your technology environment.