AI production-readiness engineering
Your AI prototype works. Getting it to production is the expensive part.
The model is rarely what's blocking you. Most AI initiatives stall on deployment, governance, and the question of who owns the thing once it's live. RingMod takes stalled AI and agentic projects the rest of the way: into production, under controls you can defend to an auditor.
Founder-led · fourteen years of platform engineering · ecommerce, healthcare, defense
Stalled at the prototype
It demos well, then sits there. No path to production, no evals, and nobody on call for it.
25%
of respondents have moved 40% or more of their AI pilots into production. The gap between a working prototype and production is where initiatives stall.
Ungoverned and unobservable
Agents and models touch real systems, and afterward nobody can say what they did or why. Guardrails were the plan for later.
21%
of companies planning agentic AI report a mature model for governing those agents, even as nearly three-quarters plan to deploy within two years.
Spend climbing, value unclear
The inference bill grows faster than the value it produces, and nobody can tie the spend to a feature or a decision.
40%+ Forecast
of agentic AI projects will be canceled by the end of 2027, due to escalating costs, unclear business value, or inadequate risk controls.
What I do
Five ways to put AI into production and keep it there.
The standard behind the work, published in the open: The Production-Readiness Bar.
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 ownership around it 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 that throughput 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, without the commitment of a full-time hire and without a junior contractor learning on your production account.
Learn more →Who you're hiring
You're hiring the person who does the work.
I've spent fourteen years building and running platforms in ecommerce, healthcare, and defense, including several years owning platform engineering as a director. At RingMod, the person who scopes your project is the person who ships it. The standard I work to is published on this site, and the site itself is built by the pipeline I sell.
- Fourteen years of platform engineering across ecommerce, healthcare, and defense
- Owned cloud platform systems as a high-accountability individual contributor, in environments where AI governance is not optional
- AWS · Kubernetes/EKS · Terraform · CDK · ArgoCD · CI/CD · serverless · data pipelines
- Evaluation, observability, guardrails, and policy-as-code for LLM and agentic systems
- This site ships through an agent-driven pipeline with a production-safety gate before every apply
Proof, not pitch
This site is the demo.
ringmod.ai is built and continuously deployed by the same governed, machine-verified agentic pipeline the service sells: scoped IAM, policy-as-code, and 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 an honest assessment and a fixed-scope path to production. If it isn't, I'll tell you that too.