The customer
Operations teams monitoring production, assets or high-volume transactions
The problem
Anomalies are found late, usually by a person noticing a number that looks odd. By then the cost is already incurred and the trail has gone cold.
What we built
Operational signals are scored continuously for anomalies. Each flag arrives with the evidence behind it, the likely cause and a recommended resolution, routed to the team that owns it and closed out in the same workflow.
What changed
- Issues caught in the moment rather than at month-end
- Every flag arrives with evidence and a proposed resolution
- Less rework and fewer escalations downstream
Built with
- Azure AI Foundry
- Azure OpenAI
- Microsoft Fabric
- Power Platform