Flowstack was handling hundreds of support tickets daily with a small but dedicated team. As the product grew, so did the volume of incoming requests, and the team was struggling to keep up. Response times were slipping, customers were frustrated, and support staff were spending the majority of their day on repetitive, low-value questions that could easily be handled automatically.

We started with a full audit of their existing support workflow, categorizing ticket types, identifying the most common questions, and mapping out how requests moved through the team. From there we designed an AI system that automatically categorized every incoming ticket the moment it arrived, routed complex issues to the right team member based on expertise and availability, and handled the most common questions with intelligent automated responses trained on their existing knowledge base.

The rollout was phased to allow the team to build confidence in the system before fully relying on it. Within the first two weeks the volume of tickets requiring human attention had dropped significantly. By the end of the first month the support team was spending 70% less time on repetitive tickets, average response time had dropped from hours to minutes, and customer satisfaction scores reached their highest point in company history. The system continues to learn from new interactions and improves automatically as new ticket patterns emerge over time.