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AI-Driven Observability & Incident Response

Scale Operations with AI‑Driven Observability

Observability, reimagined with AI: ask, remediate, and optimize using AI agents at scale.

Challenges

AI Code Velocity Outpaces Manual Ops Capacity

Rapid AI code generation expands failure surfaces, while manual queries, setup toil, and tribal bottlenecks drive rising MTTR and on-call burnout.
Expanding Failure Surfaces Drive On-Call Burnout
Expanding Failure Surfaces Drive On-Call Burnout

Expanding Failure Surfaces Drive On-Call Burnout

AI coding assistants multiply release volume, overwhelming manual ops capacity with more production changes, alerts, and rising MTTR.
Manual Query Syntax and Dashboard Setup Toil
Manual Query Syntax and Dashboard Setup Toil

Manual Query Syntax and Dashboard Setup Toil

Hand-writing complex PromQL under pressure and assembling dashboards by hand wastes critical engineering time when incident speed matters most.
Tribal Knowledge and Escalation Bottlenecks
Tribal Knowledge and Escalation Bottlenecks

Tribal Knowledge and Escalation Bottlenecks

Critical context stays trapped in senior engineers' heads, forcing constant escalations and creating bottlenecks that slow down incident triage.
Solutions

Automate Operations for the AI Coding Era

Scale operational capacity to match AI code velocity by automating incident triage, reducing manual toil, and breaking tribal knowledge bottlenecks.

Convert Natural Language to Operational Action

Tune alerts, query data, build dashboards, and more — all using natural language. Operator is embedded throughout Cortex® XCOR™.

Automate Incident Triage with AI Investigations

Deploy AI Investigations to reason over system topology and telemetry, guiding engineers to root causes as release velocity explodes.

Democratize System Context and Knowledge

Capture saved operational knowledge and system topology to empower any engineer to triage incidents without relying on escalations.

Key Capabilities

Trusted by AI leaders, Cortex XCOR meets teams where they work—in the UI, IDEs, or coding agents—using natural language to streamline operations.
Execute Actions with Natural Language
Operator

Execute Actions with Natural Language

Query telemetry, create dashboards, and trigger diagnostic workflows using natural language prompts without writing complex query syntax.
Automate Incident Root Cause Analysis
AI Investigations

Automate Incident Root Cause Analysis

Automate incident triage when alerts fire. AI Investigations evaluates topology, telemetry, and saved context to isolate root causes fast.
Unify Deep Topology and Telemetry
Operational Fabric

Unify Deep Topology and Telemetry

Unify system topology, custom telemetry, and institutional knowledge so AI workflows troubleshoot with complete operational context.
Connect AI Agents and IDEs Directly
MCP & A2A Integration

Connect AI Agents and IDEs Directly

Connect IDEs and external AI coding agents directly to live telemetry via MCP and A2A protocols to query data securely where you work.
Synchronize Operational Assets Automatically
Asset Management

Synchronize Operational Assets Automatically

Keep dashboards, monitors, SLOs, and runbooks synchronized with rapid code releases, eliminating manual platform configuration toil.
Isolate Metric and Trace Anomalies
Differential Diagnosis (DDx)

Isolate Metric and Trace Anomalies

Compare degraded telemetry against healthy baselines across metrics and traces to surface exact state changes and isolate root causes.
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Operational Impact

Uplevel engineering teams, compress MTTR, and eliminate operational bottlenecks caused by high-velocity AI code deployments.
Compress MTTR Across Expanding Surfaces
Compress MTTR Across Expanding Surfaces

Compress MTTR Across Expanding Surfaces

Accelerate incident triage as code velocity explodes, compressing MTTR without adding headcount.
Eliminate Query Syntax and Setup Toil
Eliminate Query Syntax and Setup Toil

Eliminate Query Syntax and Setup Toil

Eliminate manual PromQL writing and dashboard setup so engineers focus on shipping product.
Empower Every Engineer to Triage Confidently
Empower Every Engineer to Triage Confidently

Empower Every Engineer to Triage Confidently

Uplevel engineers with guided AI analysis to resolve complex incidents without escalations.
Boost Productivity in Existing Workflows
Boost Productivity in Existing Workflows

Boost Productivity in Existing Workflows

Work seamlessly in the UI, IDEs, or chat tools, boosting productivity without context switching.

Frequently Asked Questions

Cortex XCOR provides flexibility by meeting users where they work, whether via the XCOR UI or MCP. By interacting through XCOR's native conversational interface or an external AI tool over MCP, engineers convert natural language intent into operational action.
Operator serves as XCOR's primary conversational interface. It evaluates natural language requests to execute complex queries directly or dispatch specialized agentic workflows — such as running AI Investigations, constructing dashboards, pruning redundant alerts or updating SLOs.
Dispatched via Operator or fired alerts, AI Investigations reason across live topology, custom telemetry and operational memory. Before presenting findings, the specialized agent actively tests and attempts to disprove hypotheses against live ground-truth data to mitigate false positives.
The XCOR MCP Server enforces strict read-only safeguards that prohibit mutation actions such as editing dashboards, writing metrics, or deleting monitors. Teams can further restrict capabilities using custom tool disablement headers.
The Optimization Engine evaluates incoming metric and log utility against real-world query patterns. Operator delivers actionable Recommendations and executes Optimization Rules to remove unread noise at ingestion, achieving an average 89% volume reduction.