Verve, a Credit Union

At Verve, a Credit Union, I worked as an artificial intelligence intern with a mandate that started broad: figure out where AI could actually create value across the organization, and prove it.

That began as a discovery effort spanning more than 12 departments. I conducted over 40 stakeholder interviews — sitting with the people who do the work and mapping where time was being spent on tasks that shouldn't require human effort. Those conversations surfaced 109 distinct use cases, which I consolidated into a scored prioritization matrix weighing impact against implementation difficulty, so leadership could see not just what was possible but what was worth doing first. I presented the findings and my recommendations directly to senior leadership.

From there I built. Using Microsoft Copilot Studio, I deployed agents and automations targeting the highest-scoring use cases: document routing, anomaly detection, and recurring reporting. Each one replaced a manual process that a real person had been absorbing.

The role pushed me to think like a systems designer. Knowing what AI can do is the easy part; the harder work is understanding the human workflow first, finding the genuine bottleneck, and building something the person on the other end will actually adopt. Pairing that build work with executive-level communication has been one of the most practically valuable experiences I've had.