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Transforming Complexity into Actionable Intelligence

Agentic AI combines cognitive intelligence, automation, and multi-agent collaboration to solve complex business problems. It seamlessly integrates AI models for intelligent decision-making, automation engines for execution and responsive actions, and continuous learning systems that evolve over time — all orchestrated with AgentOps principles to ensure operational efficiency, security, and continuous improvement.

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Approach to Agentic AI

Our approach to Agentic AI empowers businesses to move from task-based automation to intelligent, autonomous operations.

Agentic AI

Purpose-built for end-to-end autonomous operations in dynamic environments—capable of reasoning, adapting, and making decisions with minimal human intervention.

AI Agents

Empower business users to create and deploy AI-powered workflows and solutions with minimal coding, driving faster innovation and efficiency across teams.

Generative AI

Create content, insights, and solutions on demand—powered by advanced AI models that understand, generate, and adapt to your needs.

AgentOps

Manage, monitor, and optimize AI agents through a unified framework that ensures reliability, transparency, and continuous improvement.

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Technology

Partners

Showcasing Our Agentic AI Solutions

Reduce Jenkins Downtime by 70% with AI-Powered Automation

CloudifyOps enhanced AI Force with Agentic AI, boosting DevOps productivity and efficiency. Using modular n8n workflows with Jenkins, GitLab, JIRA, and Slack, MTTR dropped 60–70%, Jenkinsfile errors were auto-healed, and CI/CD visibility improved. The phased rollout ensured faster recovery, fewer failures, and stronger compliance across teams.

Kubernetes ChatOps with AI-Powered Incident Management

CloudifyOps deployed AI-powered Kubernetes ChatOps with Grafana, Prometheus, Slack, and AWS Lambda. An AI Agent automated alert triage and analysis in real-time, reducing MTTR by 40%, cutting context switching by 60%, and boosting engineer productivity, enabling faster remediation, proactive incident management, and improved uptime.

Automated Multi-Severity Alert
Management System with N8N
Workflow Orchestration

CloudifyOps implemented an N8N-based automated alert management system for healthcare infrastructure. Severity-based workflows, AI-driven alert analysis, and multi-channel notifications reduced manual alert handling by 85% and MTTR by 70%, eliminated missed critical alerts, and improved consistency, reliability, and incident tracking across EC2, RDS, API Gateway, and Lambda services.

AWS Auto Heal Workflow: Automated
Incident Resolution for Enterprise
Cloud Operations

CloudifyOps implemented AI-driven end-to-end incident automation with six specialized agents using n8n, AWS CloudWatch, Prometheus, Grafana, and Amazon Bedrock. MTTD fell 70%, MTTR decreased 60%, and over half of routine incidents were automated, improving observability, reliability, compliance, operational efficiency, and enabling proactive self-healing.

Ready to Make Your Operations Smarter, Faster, and More Autonomous?

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