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AI Operations & Agent Infrastructure

Put agents
to work.
Keep engineers
in control.

Agents that prepare infrastructure changes, upgrades and security fixes for your engineers to approve. For Azure and AWS teams, measured before and after.

Agent prepares.
Engineer reviews.
No decision yet. The proposal is held at human review.

An example

From request to merge.
From finding to fix.

Agents prepare each change as a pull request in your existing repositories. Your checks run, and your engineers decide what merges.

Review walkthrough

Illustrative workflow model

Change delivery

01

What the engineer receives

  • The change request and the Terraform change that answers it, in a pull request.
  • A plan summary: what is added, changed, replaced or deleted, with access and cost effects.
  • The checks run and anything that still needs a decision.

The review decision: is this the change that was asked for, and is its impact understood? The engineer can approve it for the existing CI/CD process or return it for further work.

Security fixes

02

What the engineer receives

  • The finding, where it applies and why it matters.
  • The fix in a pull request, with the reasoning and supporting evidence.
  • The checks run and anything the fix could affect.

The review decision: does the fix close the finding without breaking something else? The engineer checks the evidence and makes the merge decision.

See both examples step by step

Thirty days.
Your engineers decide every merge.

A 30-day engagement for teams of 5–50 engineers using Terraform. We measure one process as it runs today, put agents to work on it with limited access, and report the same measure at the end. Then we hand over the system and the runbooks.

From US$30,000. Fee agreed before day 1.