We build production-grade AI workflows with governance, security, and measurable outcomes. Not s. Not experiments. Real systems that run in operations.
Enterprise AI spending is accelerating, but most agentic projects stall between "impressive pilot" and "production deployment." The gap isn't technology—it's engineering discipline.
We exist to close that gap. We bring the integration craftsmanship, governance controls, and operational rigor that turns AI experiments into production systems.
Teams don't need another AI vendor promising transformation. They need engineers who can ship systems that work, with controls that satisfy security teams, and metrics that justify continued investment.
We design, build, and operate AI agents that automate knowledge work—with the governance controls that enterprise buyers require.
Map workflows, identify automation candidates, define KPIs, and assess data readiness. No building until success metrics are signed.
Build agentic workflows with real integrations, approval gates, and evaluation harnesses. Production architecture from day one.
Implement OWASP LLM risk mitigations, NIST AI RMF alignment, audit trails, and approval workflows. Built-in, not bolted-on.
Deploy to production with monitoring, runbooks, and incident playbooks. SLOs defined, rollback plan ready, team trained.
Monitor, optimize, and expand. Drift detection, cost management, evaluation regression testing, and incremental workflow rollouts.
Monthly KPI reporting, quarterly roadmap planning, and systematic expansion to additional workflows. Not one-time delivery.
We treat agentic automation as a software engineering discipline, not an AI experiment. That means version control, testing, deployment pipelines, monitoring, and incident response—the same rigor you expect from any production system.
Security and compliance aren't afterthoughts. Every engagement includes OWASP LLM risk mitigation, audit trails, approval workflows, and evaluation harnesses. We satisfy security teams, not just business sponsors.
We don't lock you into proprietary platforms. Our systems work across model providers (OpenAI, Anthropic, AWS, Google) and integrate with your existing stack. When models improve or prices change, you can adapt.
Every engagement has defined triggers, deliverables, and acceptance criteria. Fixed-fee packages where possible, milestone-based pricing for launches. You pay for outcomes, not hours.
Founder & Principal Consultant
I started Machines & Cloud because I saw a gap: enterprises needed AI that actually ships to production, not just impressive pilots. With over a decade of experience in DevOps, cloud infrastructure, and automation engineering, I bring the operational rigor that turns AI experiments into production systems.
We work best with organizations that can make decisions quickly and have real workflow complexity worth automating.
200-10,000 employees. Large enough to have meaningful workflow volume and compliance requirements. Small enough to move without endless procurement cycles.
Financial services, insurance, SaaS/IT, retail, manufacturing, and B2B services. Verticals with high labor cost in knowledge work and clear operational metrics.
COOs, CIOs, VP Operations, VP Engineering. Leaders who own KPIs, can approve production deployments, and want measurable outcomes—not AI theater.
Pilots don't count. Production does. We optimize for shipping real systems that run in operations.
KPIs before building. Baselines before launch. Continuous measurement in production. If we can't measure it, we don't claim it.
Governance controls aren't obstacles—they're how we earn the right to operate in production. We satisfy security teams, not just sponsors.
No platform lock-in. No proprietary runtimes. Systems that work across providers and integrate with your existing investments.
We're headquartered in Houston, Texas, with the ability to serve organizations nationwide. Most of our work is delivered remotely, with on-site engagement for discovery sprints and production launches as needed.
Our team combines experience in enterprise software, systems integration, and AI engineering—the combination required to ship agentic systems that actually work in production.
Start with a discovery call to discuss your workflows, KPIs, and governance requirements. We'll recommend the fastest path to production value.
Ready to close the AI gap?
Book a Discovery Call