AI Agent Case Study: Eliminating 80 Hours of Wasted Time Weekly

Case Study: One AI agent eliminated 80 hours of wasted time per week at this company.

Gain, a personal injury revenue cycle management platform for attorneys and healthcare providers, was facing a serious issue.

Because of the complexity of this industry, team members constantly interrupted managers with non-routine questions:

→ "How do I handle a refund for X?"

→ "What's the approval process for Y when Z isn't available?"

Despite having comprehensive 100+ page SOPs and customer documentation, employees found it faster and to just ask their managers directly. And understandably, the managers sometimes didn't know the answers themselves.

The data revealed a massive efficiency drain:

→ Each employee spent approximately ~2 hours weekly seeking guidance

→ Managers spent hours researching or consulting other leaders

We built an internal AI agent to solve this problem, but the foundation work was critical:

1. Interviewed process owners to surface hidden knowledge

2. Identified and filled documentation gaps

3. Constructed a domain-specific knowledge base (finance, customer service, etc.)

4. Implemented a feedback loop for continuous improvement

The initial adoption was slow, but after three months of encouragement, feedback-driven improvements, and gradual user buy-in, the results were dramatic:

Manager interruptions dropped by more than half, with one team eliminating 80+ weekly hours of back-and-forth communication. Employees gained the ability to make faster decisions while managers were freed to focus on higher-leverage activities.

Every company has silent drains like this. The question is whether you’ll notice them before they cap your growth.

The good news: the fix isn’t magic. Capture what you know, make it accessible, and let AI do the heavy lifting.