The agentic OS built for the enterprise IT operations function.
Define the reliability objective. Agents detect, diagnose, and remediate across your infrastructure orchestrating incident response, ITSM, change management, security ops, and observability and come back with what actually moved uptime, MTTR, and your engineers' capacity to build. You stay in control. The function runs.
The enterprises that
run on Lyzr.
G2 · Spring 2025
Accenture VenturesG2 · Winter 2025One objective in.
Your entire function, moving.
Lyzr sits at the centre. It reads every signal, activates the right agents, runs across every channel and closes every loop back to your goal.
The right question changes everything.
Most IT operations teams are managing incidents. The Lyzr IT OS starts with why your engineers are still the first line of defence against problems that should never reach them.
Your monitoring stack fires thousands of alerts every day. Do you know which ones actually matter before your engineers spend an hour finding out the rest were noise?
The Lyzr IT OS correlates signals across every monitoring layer metrics, logs, traces, and events and collapses thousands of alerts into the handful of actionable incidents that genuinely require attention. Your engineers see signal, not noise. They act on what matters, not on everything that fires.
When a production incident hits at 2am, how much of your MTTR is the problem and how much is the time it takes your team to understand what they're looking at?
The IT OS builds a live incident context brief the moment an anomaly is detected affected services, probable root cause, blast radius, historical precedent, and recommended remediation. Your on-call engineer arrives at the incident already briefed, not starting from scratch in a terminal at 2am.
Your SRE team exists to improve reliability. What percentage of their week is spent building versus firefighting problems that an agentic system should be resolving autonomously?
The IT OS handles the autonomous remediation layer restarting failed services, scaling resources, clearing backlogs, rolling back bad deployments within defined guardrails, without paging a human. Your SREs govern the system that handles incidents. They don't become the system.
Your infrastructure changes every week. How confident are you that every change going into production has been assessed for its blast radius before it lands?
The IT OS runs change risk assessment against your CMDB, your incident history, and your current system state before every deployment. It flags which changes carry elevated risk, surfaces the specific dependencies at risk of impact, and recommends the change window with the lowest probability of incident. Changes land on your terms, not on luck.
This is how your IT function transforms.
Datadog, Dynatrace, ServiceNow, PagerDuty, Jira, AWS, Azure, GCP, your CMDB, your CI/CD pipelines connect what you have. Nothing migrates. Your team keeps working in the tools they know. The IT OS adds the intelligence layer above them.
Zero rip-and-replaceNot an alert threshold. A goal. "Achieve 99.99% uptime for Tier-1 services." "Reduce P1 incident MTTR by 60% this quarter." "Eliminate toil consuming more than 30% of SRE capacity." The OS reads your live infrastructure state and returns a ranked execution plan by service, by risk, by action with reasoning attached.
Reliability-first, alwaysFrom 400+ agents, the OS calls what's relevant to the incident type and infrastructure domain detection, triage, root cause analysis, remediation, validation, documentation. Build new runbook agents at will. Bring existing automation from any framework. All run under one control plane with blast-radius guardrails built in.
400+ agents · Activated by objectiveIncidents get resolved. Systems recover. The OS tracks every outcome against your reliability objective what reduced MTTR, what prevented recurrence, what patterns point to systemic infrastructure risk. It doesn't report on alert volume. It reports on system health.
Every output loops backIT operations OS that fits your team
Tell the OS how IT operations runs today. It enhances every workflow with agents built for that exact job.
Alerts correlated, deduplicated and prioritised across monitoring tools.
Runbooks executed, comms drafted and bridge updated with reasoning logged.
Causal chains assembled across logs, traces and metrics with evidence attached.
Change risk scored, CAB packs assembled and rollouts gated by policy.
CVEs prioritised on real exposure and patches rolled with change controls.
Capacity, cost and waste analysed continuously with reclaim actions queued.
AWS, Azure and GCP guardrails enforced and drift remediated automatically.
Access reviews, joiner-mover-leaver and entitlements run on schedule.
L1/L2 tickets resolved end-to-end with knowledge updated on the way out.
Pipeline failures, freshness and quality issues triaged with owner notified.
SLOs tracked, error budgets enforced and toil hunted continuously.
Postmortems drafted from the actual timeline with actions tracked to closure.
Your data. Your agents.
Your call. Always.
Lyzr deploys in your cloud: AWS, Azure, GCP, or on-premise. No data leaves. No training on your proprietary information. 80% of enterprise deployments choose private cloud.
Every agent action is logged. Every output validated. Human-in-the-loop controls for every decision that matters. SOC 2 Type II. GDPR-ready. EU AI Act compliant path.
What you build on Lyzr belongs to you. Walk away with every agent, every workflow, every intelligence layer fully intact. We are the infrastructure, not the owner of what you create on it.
OpenAI, Anthropic, Google, open-source. LangChain, CrewAI, Agentforce. Lyzr runs them all under one control plane. You're never dependent on one provider's roadmap.
"Lyzr was the only vendor that could articulate and then deliver what happens after the demo. Most platforms stop at the POC. Lyzr stayed through production."
"We achieved a 95% reduction in agent response time across markets. No other platform gave us the observability and control we needed to actually trust our agents in production."
"Lyzr gave us a team that understood what production-grade AI means in a regulated environment. They didn't just ship they helped us think through compliance, auditability, and scale."
Take something with you.
We don't pitch. We build your conviction.
If you're thinking it,
Lyzr has already answered it.
AIOps surfaces alerts. An Agentic OS triages, correlates, runs the runbook, opens the change, executes the fix and writes the postmortem, with human sign-off where it matters.
No. The Lyzr IT Ops OS integrates with ServiceNow, Datadog, New Relic, Splunk, PagerDuty, Opsgenie, Jira and your CMDB as a coordination layer.
First runbooks automated within 14 days. Full coverage of P1/P2 incident handling within 30 days. Production from day one.
Every automated action is policy-gated and CAB-aware. High-risk changes require human approval. Every action is logged and reversible.
You do. The OS deploys in your VPC. Telemetry and runbook intelligence stay in your environment and are never used to train shared models.
Yes. It orchestrates existing copilots, scripts and vendor agents in one governed control plane.
SOC 2 Type II, ISO 27001, GDPR, with mappings to ITIL 4, NIST CSF and SOX change-control requirements.
MTTR, MTTA, change-failure rate, toil reduced and engineer hours returned, tied back to stated SRE objectives.
Set the objective.Watch the function move.
30 minutes with the team. You define the goal. We show you exactly what changes.
Deployed in your environment · Your data stays yours · Your agents, always