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.
Purpose-built for end-to-end autonomous operations in dynamic environments—capable of reasoning, adapting, and making decisions with minimal human intervention.
Empower business users to create and deploy AI-powered workflows and solutions with minimal coding, driving faster innovation and efficiency across teams.
Create content, insights, and solutions on demand—powered by advanced AI models that understand, generate, and adapt to your needs.
Manage, monitor, and optimize AI agents through a unified framework that ensures reliability, transparency, and continuous improvement.
Technology
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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.
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.
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.
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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