AI Controls & Monitoring

Control and monitoring of AI solutions: quality, drift, usage, costs, risks, logs, security and operational compliance.

  • RFC SERVICE
  • AI automation at scale
Customer challenge

Control AI solution operations

AI quality, costs and risks are monitored separately. Adjust usage according to alerts and indicators.

  • Starting point

    AI quality, costs and risks are monitored separately.

  • Promise

    Establish operational controls for AI solutions.

  • Decision

    Adjust usage according to alerts and indicators.

AI SHIFT

Integrate AI into business activities

AI monitoring, logs, quality, costs and alerts.

RFC approach

A structured approach to action

Each step specifies the actions, deliverables and decisions to prepare.

  • Measure

    Establish the baseline and indicators useful for decisions.

  • Optimise

    Prioritise adjustments according to impact and dependencies.

  • Monitor

    Compare observed effects with objectives and adjust actions.

Let's discuss your context

Talk to an RFC expert

Describe your priorities, constraints and projects to prepare a discussion with the relevant teams.

Technologies used

Platforms suited to the service's processes, data and integrations.

  • Azure AI Foundry
  • Azure Machine Learning
  • Power Apps
  • Power Automate
  • Power Pages
  • GitHub
  • GitLab
Let's discuss your context

Talk to an RFC expert

Share your context, priorities and constraints. Our experts help you structure an IT journey aligned with your transformation goals.

Tell us about your challenges

Share your priorities to prepare for a focused discussion.