What we monitor
Today’s AI ecosystems span everything from complex data pipelines and predictive models to applications used by end users. To keep these solutions running smoothly and delivering real value, it’s essential to monitor them consistently across three dimensions: health, costs, and adoption. This means making sure systems behave as expected, that spending stays under control, and that users are actually engaging with the tools provided.
Tools and Dashboards
Our AI Operations Center leverages powerful tools like Power BI to create intuitive, actionable dashboards. These dashboards provide centralized visibility into AI performance, operational costs, and user adoption patterns, ensuring that stakeholders can quickly interpret data and take informed actions.
Why it matters
Without structured monitoring, AI quickly loses credibility. Models drift, costs spiral, and users stop engaging. Our approach ensures:
-
Real-time alerts on failures and anomalies
-
Centralized dashboards that consolidate costs across Azure subscriptions (find out about our Acceleration Kits)
-
Embedded feedback loops (like thumbs-up/down, open comments) to measure satisfaction and improve continuously
Examples in practice
-
Weekly monitoring of RAG document pipelines: ingestion failures trigger automatic alerts, with reports shared to key users.
-
Cost dashboards that allocate token usage per project, enabling clear “keep or kill” decisions.
-
Adoption kits that segment users (power users, occasional users, laggards) and drive targeted adoption campaigns.
Ready to optimize your AI operations?
Reach out today to discuss setting up your AI Monitoring and start maximizing the sustained impact of your AI investments.