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Services / Managed AI operations

AI and platform operations as a service.

We monitor your agents, run your evaluation set, watch cost and token budgets, apply model updates and handle incidents. Every month you receive a report on quality, cost and what changed. A core team leads, and dedicated engineers join where the work needs them.

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01 / Problems

Problems we solve

These are the situations that bring teams to a monthly operations service.

  • Quality drifts unseenData and models change quietly. Without monitoring and a regular evaluation run, the first alert is a complaint from the business.
  • Models change under youA provider releases a new version or retires an old one, and nobody has tested what it does to your agents.
  • Spend has no ownerToken use grows with adoption. Without budgets per use case and a monthly review, the bill is the first sign of a runaway loop.
  • Nobody is on callThe team that built the agent has moved on, and an incident lands on whoever happens to be online.

02 / What is included

What a monthly service covers

Six parts that repeat every month. The cover hours are written per client, because they depend on how your operation runs.

  • Monitoring and alertsRequests, tokens, latency and quality per agent, from system tables and traces. Alerts reach the owner before a cap does.
  • Evaluation runsYour evaluation set runs every month and on every change. A regression gate stops a release that lowers quality.
  • Cost and token budgetsBudgets and rate limits per use case and team through Unity AI Gateway, spend alerts and a monthly review of cost per task.
  • Model updates and swapsA new model runs against the same evaluation set and the same cost test as the current one before it takes traffic. A swap is a configuration change.
  • Incident responseRunbooks written before it happens, a kill switch a person can use at any time and a named channel for incidents.
  • Monthly reportQuality, cost per task, incidents and changes, and the next change to test.

03 / A month with us

The monthly cadence

The same four steps every month, so quality and cost are on record and nothing waits for a complaint.

  1. Monitor

    We watch traces, drift, latency and spend through the month and handle alerts through the runbook.

  2. Evaluate

    We run the evaluation set, compare the results with last month and look at the cases where people and the agent disagree.

  3. Update

    We apply model, dependency and security updates through the same pipelines as the first release, after they pass the gate.

  4. Report and review

    You receive the report, and a short review with the use-case owner ends in the next change to test.

04 / How we start

How we start

An onboarding month comes first. Plan and quote follow a first conversation.

  1. Review what runs

    We inventory the agents, models, endpoints and the platform around them, and read the existing traces.

  2. Agree scope and budgets

    We agree what we operate, the budgets per use case, the alerts and the cover hours.

  3. Write runbooks and the test set

    We write the runbooks and build or extend the evaluation set from your own cases.

  4. First monthly report

    The first report sets the baseline for quality and cost per task.

05 / Built on

Built on our AI engineering

The service uses the same harness, evaluation and governance as our build work.

Start with a product

Start with a fixed-scope product

These packages fit this service. Each has a defined scope, fixed steps and a result you keep.

All products

FAQ

Questions we hear first

What is in a month?

Monitoring, one evaluation run, a review of budgets and cost per task, model updates when they are due, incident response and the monthly report.

Do you operate systems you did not build?

Yes. The onboarding month reviews what runs today, and we agree in writing what we operate.

What are the cover hours?

They are written per client in the agreement, because they depend on what your operation needs. We do not publish standard response times.

Can we take it back?

Yes. Everything is code and documentation in your repositories, so your own team can take over at any time.

How do we start?

With a first call and a written scope, followed by the onboarding month.

Next step

Who keeps your agents healthy?

Tell us what you run in production. We will say what a monthly service covers and what the onboarding month involves.

Book a callSend a messageor email info@nexops.nl directly

Currently accepting projects for Q4 2026