Managed AI Operations
We run it in production, so your team does not have to.
What it is
We run your Claude workloads in production as a managed service — monitoring, incident response, tuning, and agreed service levels.
Who it's for
Organizations running production AI without an internal team to operate it, and teams that would rather their engineers built features than watched dashboards.
What we deliver
Four phases, no surprises.
Discovery
We map your workflows, identify what is worth doing, define success metrics, and audit what we will be working with. No assumptions.
Design
We design the approach in full — including model selection, integrations, and controls — before a line of code is written.
Delivery
We build with regular demos and continuous feedback. You see progress, you give input, we adjust.
Handover
Documentation, training, and a clean handover to your team — with ongoing support available if you want it.
Every engagement is scoped to your situation, so timelines and investment depend on what you actually need. We will tell you honestly what we think makes sense — including when a smaller scope is the right answer.
Frequently Asked Questions
What does managed AI operations include?
Nisco AI Systems runs client Claude workloads in production as a managed service: monitoring and alerting, incident response against agreed service levels, ongoing prompt and workflow tuning, model version management and upgrade testing, output quality and drift monitoring, monthly performance and cost reporting, and a continuous improvement backlog.
What is model drift and why does it matter?
Model drift is the gradual change in an AI system’s output quality over time as models are updated, inputs shift, or usage patterns change. It matters because it is invisible without measurement — a system that worked at launch can degrade quietly. Nisco AI Systems monitors output quality continuously as part of managed AI operations.
Do you support systems you did not build?
Yes, after a technical review. Nisco AI Systems assesses an existing system’s architecture, monitoring, and failure modes before taking on operational responsibility, and will be direct about anything that needs remediation before service levels can reasonably be committed to.
Talk to an Anthropic-credentialed team.
30 minutes, no sales pitch. Bring the problem, not a feature list.