The problem
Teams want the throughput of agent-driven engineering but cannot put ungoverned agents anywhere near production infrastructure. The risk of an unattended `apply` is unacceptable, so the leverage goes unused.
The approach
Multi-agent LLM orchestration applied to real platform work — Terraform, CDK, CI/CD, Kubernetes — behind machine-verified guardrails and a mandatory production-safety gate. Agents propose; verification and policy decide; a human approves the apply. This site was built and is deployed by exactly that system.
Engagement
Project-based buildout or embedded for a fixed term.
What's delivered
- Governed agent workflow: change proposal → automated verification → policy gate → human approval
- Machine-verified guardrails (type checks, policy-as-code, plan/diff review) wired into CI
- A production-safety gate that blocks any apply lacking evidence
- Runbook + enablement so your team operates the workflow after the engagement
The outcome
Agent-scale delivery velocity on infrastructure your security and platform leads will actually approve.
Think this is your situation?
Request an audit. You'll hear back from the person who'd do the work.