AI agents do the work.
A warden keeps it safe.
AI-assisted engineering for infrastructure teams — environments, guardrails, and working method built around Amazon Q, Kiro, and Claude Code, from an engineer who runs production infrastructure through AI agents every day, on a 28-year foundation.
entry / services
What the practice does
Most teams' AI adoption stalls at "everyone has a license." The gap between that and a team that ships faster — safely, documented, auditable — is method. That method is the product here.
AI Development Environment Setup — Amazon Q / Kiro
I stand up an AI-assisted development environment inside your AWS accounts and your team: identity and subscriptions through IAM Identity Center, Amazon Q Developer and Kiro deployed across a pilot group, a client-owned standards repo adapted to your stack, and guardrails your auditors will accept.
- A working environment, not a slide deck
- Standards repo your team owns after handoff
- Architecture context the AI tools actually read
- Guardrails mapped to SOC 2, HIPAA, PCI, NIST-aligned regimes
- Pilot group trained on your real tickets
- Close-out package + 30 days of follow-up Q&A
AI-Accelerated IT Operations — workshop
A working-method workshop for MSP benches and IT teams: live demo on a sample ticket, workflow adapted to your stack, guardrails deep-dive, adoption roadmap. Up to 10 participants, one organization per session.
Half-day $2,500 · Full-day $4,000Embedded first sprint
After setup or workshop, I work your queue alongside your bench for two weeks — converting training into habit while real tickets close.
Scoped per engagement — askAI adoption advisory
For IT leadership deciding where AI-assisted engineering fits: tooling and licensing choices, rollout sequencing, guardrail policy, and what to measure — grounded in production practice, not vendor decks.
Scoped per engagement — askentry / service-record
Why a warden
The judgment layer is the product. Agents are strong hands; they are not judgment. Twenty-eight years of enterprise infrastructure — Navy systems, county health, consumer finance, insurance, multi-tenant SaaS — is what tells you where agents fail on real infrastructure work, and what the method must catch.
I run production AWS and Azure infrastructure through AI-agent-assisted workflows daily: every change through an approval gate, every resource logged with rollback written, every closed ticket leaving an architecture record and runbook behind. That discipline — not the tooling — is what makes AI-assisted engineering safe in regulated environments.
CloudWarden AI is the AI practice of CloudWarden, a boutique cloud infrastructure & security consultancy led by Milton Christ.
- Experience
- 28 years enterprise infrastructure · 10+ years production AWS & Azure
- AI practice
- Amazon Q Developer, Kiro, and Claude Code agent workflows in daily production use
- Compliance
- CIS Benchmarks · SOC 2 · HIPAA · PCI · GDPR · NIST-aligned hardening
- Proof
- Security work credited with ~$1M in avoided breach damages · infrastructure work published in Storage Magazine
- Background
- U.S. Navy veteran · federal, county, fintech, insurance, and SaaS environments
entry / engagement
How an engagement runs
Discovery
Your AWS estate, team, tooling, licensing, and compliance gates — one call, then a readiness checklist.
Environment standup
Identity, subscriptions, tools, standards repo, and guardrails — inside your accounts, reviewed with your security team.
Pilot
Your developers, your real tickets, supervised end-to-end. Synthetic exercises don't surface real friction; the backlog does.
Verification & handoff
Acceptance checklist run live with your lead. You keep the environment, the standards, and the ability to onboard the next developer without me.
entry / contact
Book a discovery call
The first call is a working conversation about your estate and your team — not a pitch. If the engagement isn't a fit, you'll leave with a straight answer and a pointer to what is.
[email protected]
(251) 210-9288
linkedin.com/in/miltonchrist