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Agentic AIOps &
Incident Response

Slash "Keep the Lights On" costs with an Autonomous Site Reliability Engineer (SRE) Agent that triages and remediates incidents in minutes.

Problem Statement

Modern IT environments suffer from "Alert Fatigue. " Engineers spend hours manually digging through logs for root causes while downtime drains business revenue every minute.

Target Customers

  • Corporate Companies
  • Companies looking to automate operation and incident responses
AIOps Capabilities

Solution Implemented

Automated Triage

Correlates monitoring alerts (Datadog/Splunk) with relevant logs instantly.

Root Cause Analysis

Compares current errors against RAG-stored 'Past Resolved Incidents'.

Remediation (HITL)

Proposes fixes via Slack: 'Restart Service X'. Confidence-driven execution.

Post-Mortem Generation

Auto-drafts incident reports summarizing timestamps, causes, and fixes.

Unique Selling
Proposition

01

An agentic AI that doesn’t just detect incidents—it investigates, recommends, and helps resolve them.

02

Most AIOps tools stop at alerting. This platform acts like a Tier-2 SRE agent—triaging alerts, analyzing context, recalling past incidents, and proposing next actions.

03

Instead of unsafe auto-healing, the platform proposes confidence-scored fixes in Slack and executes them only with approval or high certainty. And with MTTR reduction built in.

Core Technologies
Claude / OpenAI / Gemini
Backend: RESTAPI for high-performance, scalable API services
Language & Runtime: Python for business logic, data processing, and AI integration
Architecture: Modular, secure, and production-ready design suitable for enterprise deployment
Agentic AIOps

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your incident
resolution?

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