AI Managed Services. Keeping AI systems running.

AI in production. Continuously optimised.

1. 01

   The challenge

   AI systems don't run themselves once implemented. Models change their behaviour, prompts lose precision, new requirements emerge, and without active monitoring you only notice once the quality of the results has visibly dropped. Anyone who implements AI once and then leaves it to its own devices loses the value they invested.
2. 02

   Our approach

   We take over the ongoing operation of AI solutions: performance monitoring, prompt optimisation, model updates and ROI reporting are part of the monthly standard scope. In concrete terms, prompt optimisation means we continuously measure whether the AI's answers still deliver the desired quality and adjust the AI's control logic when deviations occur. It sounds technical, but it's the decisive factor for the long-term value of an AI solution. Monthly strategy calls ensure that new requirements are identified and incorporated early. Billing is on a monthly retainer basis. Not a one-off setup, but continuous operation with defined service levels. This service is the direct continuation of our AI implementation.
3. 03

   Deliverables

   —

   Ongoing performance monitoring with defined quality thresholds

   —

   Prompt optimisation and systematic quality assurance

   —

   Model updates and evaluation of new versions and providers

   —

   Monthly ROI reporting with traceable metrics

   —

   Monthly strategy calls with actionable recommendations

   —

   Incident response for quality deviations or system outages

In practice

1. 01

   Industry

   Enterprise / financial services
2. 02

   Challenge

   AI chatbot left unsupported after going live. Answer quality dropped measurably within two months, and internal capacity for monitoring and optimisation was entirely missing. User complaints rose, but no one had the instruments to diagnose the cause.
3. 03

   Approach

   Took over AI Managed Services, ran a full baseline assessment of prompt quality, set up a monitoring dashboard and introduced monthly optimisation cycles with documented changes.
4. 04

   Result

   Prompt quality stabilised and improved by 23% (measured against internal quality criteria); monthly reporting enables budget decisions based on data.

Frequently asked questions

• What do AI Managed Services cost?

  The retainer is billed on a monthly basis, with defined service levels for monitoring, optimisation cycles and response times. The scope depends on the complexity of the AI solution and the number of systems operated. Concrete terms after an initial system briefing.

• Do you also support AI systems not implemented by MOKOM 01?

  Yes, after an audit of the existing setup (architecture, prompt logic, monitoring situation). On that basis we define the scope and terms of support.

• How does onboarding work?

  System briefing and baseline assessment: we analyse the current state of the AI system, define quality thresholds and set up the monitoring. No onboarding needed for MOKOM 01's own implementations, for external systems with a defined onboarding sprint.