Infrastructure architect
Sage AI
Manage multi-environment infrastructure with natural language, portable by default and free of vendor lock-in.
A free 30-minute demo with an engineer. No commitment.
- Sage AI
Request: "Add a staging environment in eu-west-1 mirroring prod, half size." Plan ready: 42 resources, policy checks passed.
Awaiting approval - Sage AI
Security group sg-0a1 changed in the console. Reverted to the Terraform state, diff posted to #infra.
Auto-applied under policy - Sage AI
Plan for RDS parameter change failed policy: backups disabled. Pull request blocked with the failing control.
Returned to author
Illustrative. Names and figures are representative of a managed account.
What it does
Built for infrastructure as code.
Sage turns a plain-English request into reviewed Terraform, keeps the running system and the code the same thing, and checks every plan against policy before a person approves it.
Infrastructure as code from plain English
Describe the environment you want. Sage produces the architecture diagram and production-ready Terraform, opened as a pull request with the plan attached.
Multi-cloud and Kubernetes
AWS, Azure, GCP and on-premise from one place, with Kubernetes clusters expressed in code so the same module runs in every region and environment.
Drift eliminated
Changes made in a console are detected, reverted and posted as a diff, so the code stays the source of truth and every change has a record.
Policy on every plan
Compliance checks for SOC 2, ISO 27001, HIPAA and regional data sovereignty run before anything is provisioned, not after.
How it works
From signal to approved change.
Describe
A change request in plain language, in Slack or a ticket: a new environment, a network change, a new service.
Plan
Sage writes the Terraform, runs the plan and the policy checks, and attaches both to a pull request.
Approve
A named engineer reviews the diff. Nothing applies without the approval, and the approval is recorded.
Apply and watch
The change lands in the change window. Drift detection watches the result and reverts anything edited outside the code.
Guardrails
What it will never do on its own.
- No production change without a named approver
- Plans checked against policy-as-code before review
- Blast-radius limits per change and change windows you set
- Immutable audit log of every plan, approval and apply
Questions
About Sage AI.
Do we have to already use Terraform?
No. Sage reconciles existing infrastructure into Terraform first, including environments built by hand. That reconciliation is usually the first two weeks of an engagement.
Can Sage apply changes on its own?
Only where you set a policy that allows it, such as reverting console drift. Everything else waits for a named engineer to approve the pull request.
Which clouds does it support?
AWS, Azure and GCP, plus on-premise environments, with Kubernetes on any of them. Most engagements run primarily on AWS.
See Sage AI on your accounts.
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