AI Advisory & Infrastructure

AI strategy, training and infrastructure your team can rely on

EZOps Cloud helps you define your AI strategy, train your teams on Claude Code and Codex, review AI-generated code, and design and run the AI infrastructure behind it, including AWS Bedrock, model hosting and secure integrations.

Book a free consultation

Book a free consultation

What we deliver

We assess where your company stands with AI, define priorities and set clear guidelines for tools, security and governance. Then we train your people, audit the code your teams produce with AI, and build the infrastructure that keeps it all reliable and scalable.

Why choose EZOps Cloud

We teach what we practice. Our senior engineers use AI daily to build and operate production software, backed by 10+ years of Cloud & DevOps engineering and 700+ real-world projects. You get real-world methods, not theory, and standards that keep AI-generated work secure and maintainable.

What you get

  • AI adoption strategy and roadmap for your company.

  • Review and security audits of AI-generated code.

  • Hands-on Claude Code and Codex training for developers.

  • AI infrastructure with AWS Bedrock and model hosting.

  • Workshops tailored to your tools and processes.

From scattered AI use to AI you can rely on

What is holding your AI back

  • Teams using AI tools without standards or guidance.

  • Developers unsure how to use AI on production code.

  • AI-generated code shipping without review or security checks.

  • AI infrastructure that is hard to deploy and scale.

  • Slow adoption and inconsistent results across teams.

The results of AI adoption done right

  • Consistent AI practices across the company.

  • Developers shipping production code faster with AI.

  • AI code reviewed for security, quality and best practices.

  • AI infrastructure that scales with predictable costs.

  • Teams confidently adopting AI in their daily work.

FAQ

We assess where AI creates real value in your business, define use cases and priorities, choose models and architecture, and build a roadmap with costs, risks and governance.

Engineering teams that want to use AI coding assistants productively and safely, from developers to tech leads, with practical exercises on their own codebase and workflows.

Yes. We audit AI-generated code for security, architecture, performance and maintainability, and set up guardrails such as reviews, tests and CI checks.

Secure environments for model access, RAG pipelines, vector databases, GPU and serverless workloads, observability and cost control on AWS, Azure and GCP.

We define policies for data access, retention and model usage, keep sensitive data inside your cloud when needed and document controls to support compliance requirements.

Yes. Training and workshops are delivered remotely, in English or Portuguese, and tailored to your team's level and stack.

ACE Dev, the agentic AI cloud engineer automating DevOps workflows, resolving incidents and optimizing AWS, Azure and GCP environments autonomously

Put your AI standards into practice with ACE

ACE is our AI platform that works alongside your team, from code to production. Nothing changes without your approval.

  • Audits AI-generated code with real engineering depth.
  • Checks that new repositories follow your lint, architecture and security rules.
  • Reviews developer work independently, not by the person who wrote it.
  • Keeps technical knowledge documented when the team changes.
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