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Kelvin Davis · Production AI Infrastructure

Most enterprise AI deployments fail in production. Not because the model is wrong — because nothing stops it when it is.

I build agentic systems, HITL workflows, and multi-tenant cloud infrastructure that run safely in production for engineering teams at scale.

agent_pipeline · prod-us-eastlive
01 ingest.signalpassed
02 agent.plan → 4 stepspassed
03 hitl.gate — write to prod_dbawaiting
04 execute.actionblocked
05 audit.log.commitqueued
no autonomous write without a human checkpoint

01 / Problems

The problems I solve

Alert fatigue killing your on-call rotation

Engineering teams spending 40%+ of on-call hours on noise that should never reach a human.

AI that doesn't hold up in production

Promising pilots that fail when they hit real data, real scale, and real edge cases.

No guardrails on autonomous systems

AI writing to databases, calling external APIs, and making decisions with no human checkpoint.

02 / Services

What I build

S/01

Agentic Workflow Implementation

Multi-agent pipelines with HITL gates — AI that escalates to humans before taking consequential actions. Built for production, not demos.

S/02

Cloud & DevOps Architecture

Kubernetes, multi-cloud IaC, CI/CD pipelines, and observability stacks designed for teams that can't afford downtime.

S/03

AI Security & Governance

Guardrails, audit logging, data boundary enforcement, and compliance-ready AI deployments for regulated environments.

STACK I WORK IN

ORCHESTRATION

LangGraphTemporalMCPAirflow

PLATFORM

KubernetesTerraformAWSAzureGCPArgo CD

OBSERVABILITY

OpenTelemetryDatadogPrometheusPagerDuty

GOVERNANCE

OPA / RegoVaultSOC 2 controlsHIPAA boundaries

03 / Process

How an engagement works

STEP 01 · Submit intake

Answer 8 questions about your stack, your pain, and your timeline. Takes 4 minutes.

STEP 02 · Fit call or proposal

If there's a match, you get a scoped proposal within 48 hours. No generic decks.

STEP 03 · Execution

Async delivery by default. Defined deliverables, no scope creep, no standing meetings unless your tier includes them.

05 / Track record

15 years. Real production systems.

15+ years

enterprise cloud and AI infrastructure

Boeing · Honeywell Aerospace · CorVel

prior employers

Live in production

agentic systems running today

From aerospace manufacturing to enterprise cloud engineering — the systems I build are designed for environments where failure has real consequences.

06 / Operator

Who you're actually hiring

Kelvin Davis / Principal · Phoenix, AZ

I spent the first half of my career in environments where a bad deploy wasn't a rollback — it was a grounded aircraft, a failed audit, or a claim that didn't pay.

Boeing and Honeywell Aerospace taught me that safety-critical systems aren't built by people who are careful; they're built by people who assume failure and design the stop condition first. CorVel taught me what that looks like when the data is regulated and the customer is a claimant, not a developer.

I build agentic systems the same way. The interesting engineering is never the model — it's the gate in front of the consequential action, the audit trail behind it, and the runbook your team uses at 3 a.m. when I'm not there. That's the whole practice.

I work with two clients at a time, asynchronously, in your repositories and your cloud accounts. When an engagement ends, your team owns it — no runtime to license, nothing to unwind.

07 / Fit

Who this is for — and who it isn't

A fit

  • +50–500 employees, an existing engineering org, and production traffic today.
  • +An AI pilot that works in a notebook and breaks under real data.
  • +Autonomous systems touching production data with no approval path.
  • +An on-call rotation drowning in alerts nobody has time to tune.
  • +A budget owner who can sign without a six-week committee cycle.

Not a fit

  • Pre-product or pre-revenue teams looking for a technical co-founder.
  • Staff augmentation — a body in your standups and your ticket queue.
  • Daily synchronous collaboration or fixed onsite hours.
  • Budgets under $10,000/mo, or scope that shifts every week.
  • Demoware — a proof of concept with no intent to run it in production.

08 / Pricing

Engagement tiers

STANDARD

$10,000 / mo

  • 2 active workstreams
  • Async delivery
  • 1 monthly strategy call (45 min)
  • Defined deliverables, no scope creep
  • Slack channel, 1 business day response
Apply for Standard →
Featured

PREMIUM

$15,000 / mo

  • Full scope: cloud + agentic + security layer
  • Async delivery + bi-weekly 30-min calls
  • Architecture ownership
  • You manage internal stakeholders
  • Max 2 clients simultaneously
Apply for Premium →

Scope changes outside defined deliverables require a signed change order. No exceptions.

Work that doesn't map to either tier is quoted individually — email me or note it in the intake form. Custom scope still starts at $10,000/mo. There is no pilot tier, no discounted trial, and no hourly rate.

09 / Risk

What happens if it doesn't work

The questions engineering buyers ask before signing, answered before you have to ask them.

Month to month, 30 days notice.

No annual contract, no termination penalty, no auto-renew clause. If the first 30 days don't produce the deliverables in the statement of work, end it and keep everything shipped to that point.

You own everything.

All code, IaC, prompts, eval suites, and documentation are work for hire — delivered into your repositories and your cloud accounts. No proprietary runtime, no license, nothing to unwind if we stop working together.

Bus factor is handled deliberately.

Every workstream is paired with a named engineer on your team, and runbooks plus architecture decision records ship alongside the code. The goal is that your team operates it without me by the end of the engagement.

No staff augmentation, no ticket queue.

Engagements are scoped to deliverables, not hours or headcount. No standing meetings, no sprint ceremonies, and nothing billed by the hour.

Regulated environments are normal here.

Aerospace, enterprise cloud, and claims systems — least-privilege access, audit logging, data boundary enforcement. MSA, NDA, and BAA signed before any access is granted; SOC 2 evidence supported.

Response time is contractual.

Standard: one business day in a shared Slack channel. Premium: same-day plus bi-weekly 30-minute calls and architecture ownership. If that slips, the month is credited.

Still a question I haven't answered? Put it in the intake form — I answer every submission personally.

See if we're a fit →

10 / Intake

See if we're a fit

Answer 8 questions. If there's a match, you'll get a link to book a 15-minute call.

Do you run Kubernetes?
Have you previously implemented any AI or agentic tooling in your engineering operations?
Are you the decision-maker for this engagement, or are others involved?

Your answers are used only to evaluate fit. Never sold, never added to a mailing list. See the Privacy Policy. Prefer email? kelvin@thdagentic.com