Three ways to work together — mid-incident or well before launch. Each one ends with a system your team can stand behind.
Whether you are mid-incident or pre-launch, the work follows the same arc: understand it, fix it, and make it defensible.
Something is on fire in production. We drop in as your AI SOS response team: investigate the failure, contain the blast radius, and ship a fix that holds.
Fixing the symptom is not enough. We install the evaluation systems, guardrails, and workflows that turn a fragile feature into a dependable one.
Best case, we never meet in a crisis. Before you launch, we pressure-test the idea, choose the right model, and design flows that protect users and data.
Teams mid-incident
A model is producing bad outputs in production and you need a calm, expert hand on it today.
Features that "mostly" work
It works often enough to ship but breaks often enough to worry. Time to make it dependable.
Teams about to ship AI
You have one shot at a good launch. Pressure-test the idea before it becomes a liability.
Every engagement runs the same disciplined loop — so you always know what comes next and when.
A 30-minute call to understand the failure, the stakes, and who is affected. You leave with an honest read on severity.
We instrument the system, reproduce the failure, and trace it to a cause — model, prompt, data, or architecture.
A fix ships fast, paired with evals so we can prove it works and catch regressions before your users do.
Guardrails, monitoring, and a runbook hand the system back to your team — defensible and built to last.
Book a 30-minute SOS call. You’ll leave with an honest read on severity and a clear next step — whether or not we end up working together.