A woman playing Go against a robotic arm, illustrating the human-and-machine operations behind running AI systems in production.

Overview

What this work looks like

AI in production is mostly operations. We set up the evaluation harnesses, monitoring, cost controls, and incident playbooks that turn a clever prototype into a system the business can actually trust.

Illustration of dark cubes falling into a golden funnel and emerging as a few refined golden cubes, representing AI operations transforming chaos into reliable production systems.

What's included

Deliverables

  • Observability and tracing setup
  • Automated evaluation and regression tests
  • Cost, latency, and quality dashboards
  • Safety, abuse, and content controls
  • Incident response and on-call playbook
Oak Theory deliverables kit shown as a branded cardboard box with acorns.

How we work

Our process

We start with a working session to understand your goals, audience, and constraints — so every recommendation traces back to a real outcome.

  • Stakeholder interviews
  • Competitive landscape
  • Goals & success metrics

We translate inputs into a tight brief and a clear direction. You leave this phase knowing exactly what we're making and why it will work.

  • Working brief
  • Direction & references
  • Scope & timeline

We build in tight iterations, share work early, and hand over assets and documentation your team can run with.

  • Iterative reviews
  • Final deliverables
  • Handoff & enablement
We ship in weeks, not quarters — and hand you work your team can keep building on.

From the Journal

Further reading

Claude AI interface during a service outage, illustrating why production AI needs fallback and monitoring.
AI Operations

Claude Is Down: What Happened and When It Started

When an AI provider goes down mid-shift, the difference between a graceful degrade and a full stall is the incident playbook you wrote last month.

March 2, 2026
A person working alongside AI tools, representing the ongoing operations behind a production AI system.
AI Operations

Your AI Did Good. Here’s What to Bring to the Table Next.

A prototype that performs is only the start. What keeps it trustworthy is the data, feedback loops, and operating discipline you bring next.

June 22, 2026

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