Service
Cloud and Security Foundations
The platform underneath the AI. Landing zones, identity, CI/CD with security gates, compliance as code, and rescue for estates that grew by accident.
- Engagement
- Fixed scope, then optional retained advisory
- Typical duration
- Typically 4 to 10 weeks depending on scope
- Ideal for
- Teams shipping their first serious workload, teams inheriting an estate they did not build, and companies whose AI plans need a foundation that will pass an audit.
Problems it solves
Sound familiar?
- Accounts and subscriptions created by hand, no consistent guardrails, no clear answer to "who can access what".
- The bill grows every month and nobody can say which resources are doing useful work.
- Security reviews happen at the end, so they block the release or get skipped.
- The policy binder says one thing and the cloud console says another.
Outcomes
What changes
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A production-ready foundation on Azure, AWS or GCP. Accounts, network, identity, delivery and observability designed as one system, as code.
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Estates consolidated and measured. Inventory, cost attribution, and guardrails that prevent the next sprawl.
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Pipelines that lint, test, scan and sign on every change, with short-lived identity-based access and no shared secrets.
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Controls mapped to ISO 27001, SOC 2, LGPD, GDPR, NIST CSF or CIS, enforced by the platform and evidenced continuously.
Deliverables
What you receive
- Architecture document and decision records
- Terraform or Bicep codebase with remote state, reviewed pipelines and policy as code
- Identity model (SSO, roles, permission boundaries), network design and hardened delivery path
- Runbooks, cost model, control matrix and handover session with your team
How it works
How the engagement works
AI does not fix a broken foundation. It runs on it. Before I put an agent near production data, the account structure, the identity model and the delivery pipeline have to be things you can explain and reproduce.
This is the cloud and security work I have done for years. Landing zones designed as one system. Rescues that start with measurement and end with a smaller estate your team understands. Delivery pipelines where the safe path is the fast path. Compliance implemented as configuration instead of paperwork.
The engagement ends with a handover, not a dependency. Your team owns the code, the documentation and the decisions behind them.
Related work
Where this engagement has been applied
-
-38% monthly cloud spend after decommissioning
Consolidated eleven hand-built environments into a single orchestrated Kubernetes platform with GitOps delivery, cutting the cloud bill and the incident rate at the same time.
Next step
Start with Cloud and Security Foundations.
Send a few lines about your setup and what is failing. I reply with the questions I need answered before we scope, and a slot for a first call.