Thirty years of running mission-critical operations.
Now I build the systems that run themselves.
I design and deploy autonomous AI agent infrastructure for organizations that can't afford to get it wrong — bridging decades of operations leadership with modern multi-agent architecture.
What I build
Practical, production-grade AI systems — not proofs of concept that die in a slide deck.
Agentic Infrastructure
Multi-agent architectures — supervisor/worker patterns, persistent state, human-in-the-loop checkpoints — deployed on real infrastructure, not notebooks.
Operations Integration
Mapping AI automation onto existing operational workflows — the part most AI consultants skip because they've never led an organization of 1000+ engineers and technologists.
Secure & Regulated Deployment
AI systems built with a compliance-aware mindset from day one — informed by two decades in federal and defense-adjacent environments.
Team Enablement
Hands-on training that gets engineering teams fluent in agentic tooling — not a one-hour lunch-and-learn.
A disciplined build sequence
The same rigor I'd apply to standing up any mission-critical system — applied to AI.
Discovery
Map the real workflow — the one people actually run, not the one in the org chart — and identify where autonomy earns its keep.
Architecture
Design the agent topology: what runs autonomously, what needs a human checkpoint, and how state and failure are handled.
Build & Deploy
Ship to real infrastructure with monitoring and guardrails in place from day one — not bolted on after something breaks.
Enable
Hand the system to your team with documentation and training so it doesn't depend on me to keep running.
Representative engagements
Illustrative scenarios reflecting the kind of work Hurricane AI takes on.
Figures below are representative estimates for illustrative scenarios, not disclosed client results.
Autonomous triage & response agent for e-commerce support
An n8n-orchestrated agent classifies, prioritizes, and drafts responses to inbound customer email, escalating only what genuinely needs a human.
Self-hosted multi-agent deployment on private VPS infrastructure
Headless Claude Code agents running on scheduled cycles, with systemd-managed uptime and no dependency on third-party agent platforms.
Agent architecture scoped for regulated environments
System boundaries, logging, and human-in-the-loop checkpoints designed around federal compliance frameworks from the first architecture review.
Beacon Wake
A live, running agent built on Claude Code — my own ongoing experiment in autonomous AI operating in public, not just in a pitch deck.
Work with me the way that fits
Three ways in, depending on how much you already know about what you need.
- Workflow & automation audit
- Agent feasibility assessment
- Architecture recommendation
- Honest go/no-go, in writing
- Everything in Diagnostic Sprint
- Full agent architecture & build
- Production deployment
- Team handoff & documentation
- Everything in Build & Deploy
- Ongoing monitoring & iteration
- Priority response
- Quarterly architecture review
Josh Lauer — From the bridge to the backend
I spent the first chapter of my career leading people under real operational pressure — as a commissioned officer, then across senior technical and program leadership roles at some of the largest names in government IT. I've led organizations of 1000+ engineers and technologists supporting critical federal infrastructure.
The second chapter started when I began building autonomous AI agents for real — not as a hobby, but as the next tool for the same job I've always done: making complex systems reliable, secure, and self-sustaining. That combination — deep operational discipline plus hands-on fluency in modern agentic AI — is what I bring to every engagement.
Before you reach out
How is this different from a typical AI consultant?
Most AI consultants have never run the operation they're trying to automate. I've directly led organizations of 1000+ people — I design agent systems around how work actually happens, not how it looks on a slide.
Do you work with regulated or government-adjacent organizations?
Yes. Compliance posture — logging, access boundaries, human-in-the-loop checkpoints — gets designed in from the first architecture conversation, not added afterward.
What if we don't know exactly what we need yet?
That's what the Diagnostic Sprint is for. You'll get an honest assessment — including a "no, don't build this" if that's the right answer.
Can you work with our existing infrastructure and tools?
Generally yes. I build on whatever foundation makes sense for you — self-hosted, cloud, or hybrid — rather than forcing a specific stack.
Let's build something
that doesn't need you in the loop.
Tell me what you're trying to automate. I'll tell you honestly whether an agent is the right answer.
jslauer@gmail.com