Making Sense of Data: AI-Powered Medical Insights at the Speed of Thought
Challenge Medical affairs teams thrive on data—but not just numbers. They need insights, trends, and clarity. Our client’s existing AI…
Read the case studySame HR platform, same Azure infrastructure, no rebuild. Targeted work across .NET, Azure SQL, and React took logins from over 30 seconds to under 5.
The challenge
A healthcare organization ran its everyday HR operations on a web-based platform. As usage grew, logins started running past 30 seconds during peak periods, and employees filed support tickets convinced the system was down.
The cause was spread across every layer: inefficient database queries, unnecessary API calls, and heavy frontend rendering. Fixing any one alone would have left most of the wait in place.
Before
The approach
One decision shaped the engagement: no rebuild. A rebuild would have cost more, taken longer, and introduced exactly the operational risk the client needed to avoid.
We started from Application Insights because the telemetry already held the answer. It showed which operations were burning the most time, so the work was ranked by user impact and started with the most heavily used workflows.
The outcome
Logins that ran past 30 seconds now complete in under 5, and dashboards load more than 60% faster. Support tickets about system slowness fell, and with Application Insights wired into production, the client now sees problems forming instead of hearing about them from employees.
Logins that ran past 30 seconds now complete in under 5, on the same platform and the same infrastructure.
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