Why AI Automation Fails in Production
Current AI agents and automation scripts face critical challenges in production environments:- Unpredictable Behavior: Pure AI approaches can produce different results for the same input
- Security Risks: Uncontrolled AI agents can access sensitive systems without proper governance
- Maintenance Burden: Fragile scripts break when systems change, requiring constant updates
- Lack of Trust: Teams can’t rely on “black box” automation for critical operations
Kubiya’s Approach: AI Understanding + Deterministic Workflows
Kubiya solves these problems by combining AI’s natural language understanding with deterministic, containerized execution:AI Understanding
Natural language interfaces that understand context and intent
Deterministic Execution
Same input always produces the same output through structured workflows
Container Isolation
Every operation runs in isolated environments for security and consistency
Rich Integrations
100+ pre-built connectors to your existing tools and infrastructure
Key Benefits for Engineering Teams
For Platform Engineers
- Reliable Automation: Deterministic workflows ensure consistent behavior across environments
- Security & Compliance: Containerized execution with audit trails and policy enforcement
- Reduced Maintenance: Self-healing integrations adapt to API changes automatically
For SREs & DevOps
- Faster Incident Response: AI-assisted troubleshooting with safe, automated remediation
- Reduced Toil: Automate repetitive tasks while maintaining control and visibility
- Cross-Environment Operations: Orchestrate actions across multiple clusters and cloud providers
for Developers
- Self-Service Workflows: Enable team members to perform operations without manual intervention
- ChatOps Integration: Natural language commands in Slack, Teams, or web interfaces
- Extensible Platform: Build custom automations using familiar tools and APIs
How Kubiya Works
1
Connect Your Tools
Integrate with your existing infrastructure: Kubernetes, cloud providers, monitoring tools, databases, and more
2
Understand Your Context
Kubiya maps your infrastructure relationships and dependencies automatically
3
Process Natural Language
AI agents understand intent and translate requests into structured workflows
4
Execute Safely
Containerized tools run deterministic operations on your infrastructure with full audit trails
Production-Ready from Day One
Unlike experimental AI frameworks, Kubiya is built for production environments:- Enterprise Security: SOC2 compliant with encryption at rest and in transit
- Scalable Architecture: Runs on your infrastructure or Kubiya’s managed platform
- Comprehensive Monitoring: Full observability into all automation activities
- Policy Enforcement: Fine-grained controls over what actions can be performed
Kubiya doesn’t replace your existing tools—it orchestrates them intelligently while maintaining security and reliability standards your team already requires.