AI-Native Incident Management

Master the Full Incident Lifecycle

Turn millions of log events into actionable insights. ProxiomSLM automatically detects incidents, routes them to the right team, and accelerates resolution with AI-powered remediation.

ProxiomSLM Dashboard
90%+
Noise Reduction
Seconds
To Right Team
2.5hrs
Avg MTTR
Zero
Config Needed
The Challenge

Traditional Tools Can't Keep Up

Modern applications generate thousands of error events per minute. Your team deserves better than drowning in alerts.

Alert Fatigue

Hundreds of similar alerts for one root cause. Engineers can't focus on what matters when buried in noise.

Manual Triage

Someone must read each alert and decide ownership. Incident response becomes a full-time job.

Context Switching

Different teams use different tools, losing investigation threads and slowing resolution.

Recurring Issues

Engineers start from scratch every time, even for problems you've seen before.

Platform Capabilities

AI-Powered End-to-End Automation

From detection to resolution, ProxiomSLM automates the entire incident lifecycle

✓ 90%+ Noise Reduction

Intelligent Log Clustering

See one incident instead of 500 alerts. Our ML engine groups related error events together, showing you the signal without the noise.

  • Automatically identifies patterns across millions of log events
  • Reduces duplicate alerts by clustering similar errors
  • Shows representative error with full context
  • Real-time clustering during cascading failures
Incident Clustering
✓ Instant Routing

AI-Powered Auto-Assignment

Write rules in plain English. AI routes incidents to the right team and assignee automatically, with progressive Trust Ladder automation.

  • AI-based rule generation
  • Configurable assignment modes (Team Lead, Round Robin, AI Optimal)
  • Trust Ladder: from suggestions to automated fixes
  • Learns from team patterns and expertise
Auto-Assignment Rules
✓ Instant Impact Analysis

Service Dependency Graph

Visualize your entire architecture. Query with natural language to understand blast radius and dependencies instantly.

  • Real-time dependency visualization
  • Natural language queries: "What depends on user database?"
  • Identify downstream impact during incidents
  • Interactive graph explorer with Cypher support
Service Dependency Graph
✓ Smart Routing

Flexible Team Configuration

Configure teams, assignment modes, and routing logic that matches your organization's structure and workflows.

  • Multi-level hierarchy support (Enterprise → Program → Project)
  • Multiple assignment modes per team
  • Load balancing with "Least Loaded" mode
  • Manual override when needed
Team Configuration
✓ Seamless Integration

Connect Your Entire Stack

Integrate with ticketing systems, monitoring tools, and communication channels. One unified workflow for incident management.

  • Jira, ServiceNow, GitHub Issues
  • PagerDuty, Datadog, New Relic
  • Slack, Microsoft Teams, Email, SMS
  • Webhooks for custom integrations
Integrations
The Process

How ProxiomSLM Works

Four steps to transform your incident management

1

Ingest & Parse

Adaptive log parsing handles any format automatically. PII/PCI redaction ensures compliance from day one.

2

Cluster & Detect

ML clustering groups related errors. Real-time analytics identify patterns and anomalies across billions of events.

3

Route & Assign

AI-powered rules route incidents to the right team instantly. Configure assignment modes to match your workflow.

4

Analyze & Resolve

Trust Ladder remediation suggests fixes based on historical data, deployments, and service dependencies.

Our Approach

Structured Implementation Playbook

A proven, two-phase journey from discovery to self-healing operations

Phase 1

Discovery & Proposal

Deep-dive analysis to understand your unique environment and map a precise path to success

  • Analyze Incident Patterns Build quantitative baseline of your current incident management reality
  • Map Your Environment Understand your technical architecture and process context for seamless integration
  • Assess Codebase Readiness Determine log sufficiency—the critical data that fuels our AI models
Outcome: A bespoke implementation proposal with clear scope, data-backed objectives, and precise timeline
Phase 2

Implementation & Partnership

Hands-on deployment, team training, and achieving our shared goal of autonomous incident resolution

Foundation

1
Environment Setup

ProxiomSLM solution installation

2
Model Tuning

Fine-tune AI models with your log data

3
Data Enhancement

Log sufficiency setup in codebase

4
Application Setup

ProxiomSLM application configuration

Launch

5
Validation

Rigorous testing and validation cycles

6
Team Enablement

Training for Support & DevOps teams

7
Go-Live

Managed system launch

Partnership

8
Continuous Improvement

Ongoing monitoring and review

More Than a Tool: Empowering Your Teams

We don't just install software—we enable expertise. Your teams become masters of this AI-driven workflow.

Platform Mastery

Deep-dive sessions on using the ProxiomSLM interface and features

Workflow Integration

Best practices for integrating AI-driven insights into existing incident management processes

Data-Driven Review

Training on interpreting performance data and participating in ongoing model improvements

The Result: A New Standard for IT Operations

Faster Resolution

Incidents are detected, assigned, and resolved with unparalleled speed

Clear Accountability

Every issue has a clear path and owner, tracked intelligently by the system

Proactive Intelligence

Teams freed from repetitive tasks to focus on strategic improvements, guided by AI insights

Foundation for Self-Healing

Platform, processes, and partnership in place to pursue the ultimate goal of autonomous operations

For Your Team

Built for Modern Operations

ProxiomSLM delivers measurable value across your organization

For CIOs & CTOs

Strategic operational excellence

  • Reduce operational costs with automated triage and resolution
  • Improve system reliability and uptime metrics
  • Eliminate compliance risks with built-in PII/PCI protection
  • Scale operations without proportional headcount growth
  • Real-time visibility into organizational incident health
  • Data-driven insights for resource allocation

For DevOps & Support Leaders

Empower your teams to do their best work

  • End alert fatigue and prevent engineer burnout
  • Reduce MTTR with intelligent clustering and AI remediation
  • Onboard new engineers faster with contextual assistance
  • Build custom workflows without developer bottlenecks
  • Track team performance with comprehensive analytics
  • Focus on strategic work instead of manual triage

See ProxiomSLM in Action

Schedule a personalized demo and discover how ProxiomSLM can transform your incident management workflow.

Request Your Demo

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