Cloud Infrastructure Management and Self-Service, Powered by MCPs and AI Ops
Naviteq helps teams manage cloud infrastructure without unnecessary overhead. Our AI-powered Cloud Infrastructure Management platform uses modular Model Context Protocols (MCPs) and built-in AI Ops to automate provisioning, maintain policy compliance, and provide real-time visibility across cloud environments.
Developers get secure self-service. Ops teams maintain control and compliance. The result: faster delivery, reduced risk, and improved infrastructure performance across your cloud services.
Reclaim time, reduce risk,
and empower your team.
AI-powered infrastructure management built for speed and control
Naviteq’s platform enables cloud-native teams to provision and manage infrastructure across providers—securely and consistently. With self-service delivery and intelligent automation, we eliminate provisioning delays, governance gaps, and performance risks.

Modular Model Context Protocols (MCPs) for developer self-service and automated provisioning

AI Ops-powered drift detection and auto-remediation

Policy-as-code frameworks for automated governance

Real-time visibility into infrastructure health and usage

Unified multi-cloud automation & orchestration across AWS, Azure, and GCP

Full support for Terraform, Pulumi, and GitOps workflows
This approach helps reduce manual effort and increases visibility without slowing down delivery.
Get complete control over tasks like provisioning, governance, and optimization, without slowing developers down.
We address the infrastructure challenges that slow teams down
Manual workflows, infrastructure drift, and tool fragmentation slow down modern cloud teams. Naviteq removes these blockers with a unified platform that brings automation, compliance, and control under one roof.
Provisioning delays
Manual infrastructure setup slows developers and increases error risk. Our solution provides self-service provisioning with built-in policies.
Limited visibility
Without unified observability, cloud usage and performance are hard to manage. Naviteq gives real-time insights across all cloud platforms.
Drift and misconfigurations
Cloud environments drift from desired state over time. AI Ops catches this early and remediates automatically.
DevOps bottlenecks
When platform teams become gatekeepers, delivery slows. We remove the bottlenecks with governed autonomy.
Multi-cloud complexity
Managing infrastructure across providers is time-consuming and error-prone. Naviteq enables consistent, cloud-native operations across AWS, Azure, and GCP.
Our cloud infrastructure management capabilities
Our approach to cloud infrastructure automation ensures your team gets scalable, policy-driven infrastructure without the usual friction of manual operations.
Model Context Protocols (MCP)
- Self-service DevOps portals with RBAC
- Embedded approval workflows and usage tracking
- Policy-as-code support for scalable governance
- Full audit trails for compliance
AI Ops & drift remediation
- Real-time detection of drift and misconfigurations
- Intelligent remediation suggestions or auto-fixes
- Predictive insights to optimize performance and cost
Infrastructure as Code & orchestration
- Standardized templates using Terraform and Pulumi
- GitOps-compatible provisioning workflows
- Unified orchestration across AWS, Azure, and GCP
Observability & insights
- AI-driven dashboards for usage, health, and cost
- Anomaly detection and automated alerts
- Native integration with Prometheus, Grafana, Datadog, and more
Ready to remove your
infrastructure roadblocks?
How we implement cloud infrastructure automation
Naviteq uses a structured four-phase process to deploy your infrastructure management solution. We work with your tools and infrastructure—no need to rebuild your stack. With native support for version control, open source tools, and modern automation platforms, our implementation adapts to your stack, not the other way around.
Assessment
- Audit current infrastructure and maturity
- Evaluate readiness for AI Ops
- Identify key workflows, blockers, and opportunities
Design
- Architect control planes and policy frameworks
- Define roles, access layers, and GitOps alignment
- Select observability stack, cloud management tools, IaC toolchains, and define reusable configuration files
Implementation
- Deploy reusable infrastructure blueprints
- Configure AI Ops engines for drift detection and cost monitoring
- Enable developer onboarding and RBAC setup
Optimization
- Run continuous audits and feedback loops
- Detect and correct drift, cost spikes, and usage anomalies
- Iterate on policies to adapt to team and system needs
Tool and cloud integrations
Naviteq’s platform integrates with your existing stack—no rip and replace required. We integrate seamlessly with GitOps, observability stacks, and cloud-native automation tools to simplify provisioning, configuring, and continuous deployment.

IaC tools
Terraform, Pulumi

CI/CD
GitHub Actions, GitLab CI, ArgoCD

Monitoring
Prometheus, Grafana, Datadog

AI Ops
Anomaly detection and remediation engines

Cloud platforms
AWS, Azure, GCP (and hybrid environments)
Frequently Asked Questions
How does AI fit into this solution?
AI Ops powers real-time drift detection, usage anomaly detection, and infrastructure optimization.
Can this platform integrate with our GitOps setup?
Yes. It works with GitOps pipelines and tools like ArgoCD for infrastructure version control.
Is this multi-cloud compatible?
Yes. We support AWS, Azure, GCP, and hybrid environments for provisioning and orchestration.
Bring intelligence and control to your cloud infrastructure
Let’s help your team move faster, with less overhead. Book a consultation to explore our AI-powered cloud infrastructure management solution.