AI Operations & Optimization

What this is for

AI systems are not software you ship and walk away from. They drift. The world drifts around them. Prompts that worked last quarter degrade. Models get deprecated. Edge cases accumulate in the long tail. Most rollouts do not fail at launch. They fail in month four, quietly, while everyone assumes someone else is watching.

Operate & Optimize is the engagement that puts an adult in the room. The same senior team that built your system stays engaged after launch, tuning it, expanding it, and reporting on it.

What we do every month

• Run the eval suite against the current production model, prompt set, and tool surface. Investigate every regression.
• Review the long tail. Sample real production traces. Find the failure modes that are not in the eval suite yet. Add them.
• Tune. Prompts, retrieval parameters, model selection, tool definitions, rate limits. Small, measured, reversible changes.
• Expand. When an adjacent opportunity surfaces, we scope and ship it on the same retainer.
• Monthly business review. One meeting. One slide. What did this system save, save you from, or earn this month, in dollars or hours. No vanity metrics.

SLAs that mean something

• Quality regression: investigated within 24 hours, root-caused within 72.
• Drift detection: evaluated weekly, reported monthly.
• Provider deprecation: 30-day migration plan from the day of the deprecation notice.
• Senior team continuity: the people who built it are still on it. Not a junior pool.

Most clients sign with us on a project. The reason they renew is this engagement.