AI production-readiness engineering
Your AI prototype works. Getting it to production is the expensive part.
Most enterprise AI stalls on infrastructure, governance, and operational ownership — not the model. RingMod is the senior engineer companies bring in to take stalled AI and agentic initiatives from prototype to governed, observable, cost-controlled production.
Founder-led · senior-only delivery · regulated-industry credible
Stalled at the prototype
It demos well and dies before production: no deployment path, no evals, no owner on call.
Ungoverned and unobservable
Agents and models touching real systems with no guardrails, no policy gate, and no way to see what they did.
Spend climbing, value unclear
Inference and GPU cost rising faster than the value, with no attribution to a feature or a decision.
What I do
Five ways to put AI into production — and keep it there.
AI Production-Readiness Audit & Buildout
A promising LLM or agentic prototype works in a notebook and stalls before production. No deployment path, no evals, no guardrails, no cost ceiling, and no one who owns it on call. The model was never the hard part — the infrastructure, governance, and operational ownership are.
The fixed-scope audit →Agentic Delivery & AI-Augmented Platform Engineering
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.
Learn more → 03Data-Platform & Pipeline Architecture for AI Workloads
The AI roadmap is blocked on data: brittle pipelines, no lineage, no reproducibility, and a retrieval layer that nobody trusts. Every model improvement is gated on plumbing.
Learn more → 04Cloud + AI Cost Optimization (FinOps for AI)
Inference, GPU, and cloud spend are climbing faster than the value they produce, and no one can attribute the cost to a feature, a team, or a decision.
Learn more → 05Fractional Staff/Principal Platform Leadership
You need Staff/Principal-level platform judgment on the AI roadmap, but not a full-time hire — and not a junior contractor learning on your production account.
Learn more →Who you're hiring
A Senior Staff platform engineer — not an AI automation agency.
RingMod is founder-led and senior-only. The person scoping your audit is the person doing the work. Roughly fourteen years building and owning platforms in ecommerce, healthcare, and defense — including Director-level ownership — with a track record in exactly the regulated environments where AI governance is non-negotiable.
- ~14 years across ecommerce, healthcare, and defense — including Director-level platform ownership
- Regulated-industry delivery: healthcare (Aetna/CVS) and defense (Raytheon)
- AWS · EKS/Kubernetes · Terraform · CDK · ArgoCD · CI/CD · data-pipeline engineering
- Multi-agent LLM orchestration at scale, with a mandatory production-safety gate before any apply
Proof, not pitch
This site is the demo.
ringmod.ai is built and continuously deployed by the same governed, machine-verified multi-agent pipeline the service sells — scoped IAM, policy-as-code, a production-safety gate before every apply.
Have a stalled AI initiative worth getting right?
Tell me what's stuck. If it's a fit, you'll get a senior assessment and a fixed-scope path to production. If it isn't, I'll tell you that too.