A production support team at a digital-first insurance company was spending significant time on repetitive manual tasks like resolving import failures, investigating logs, and refining tasks. These issues occurred multiple times per week, with import failures taking about an hour each, log investigations around two hours per incident, and task refinement requiring several developer hours weekly. This limited their ability to focus on higher-value work, and AI adoption across teams was initially limited.
Clear Measure helped address these challenges by introducing Cursor for repeated tasks, sharing skills and workflows with the team, and providing training for developers, team leads, BSAs, and QA. Time was also allocated to rebuild workflows using Cursor. As a result, the team saw major efficiency gains: import failures dropped to about 15 minutes, log investigations to around 20 minutes, and task refinement to 1–2 hours per week. Issue investigation time decreased, several production issues were resolved the same day, and AI adoption continued to grow across the organization.
