By embedding reusable GenAI agents into support operations, the client not only streamlined ticket handling but also unlocked system-wide analytics to improve classification and resolution at scale.
An enterprise client in financial technology was struggling with rising support volumes, slow ticket resolution, and inconsistent classification across its internal systems.
We implemented a modular GenAI agent framework that classifies, routes, and drafts responses to support tickets with precision. These agents were built on reusable architecture from past deployments—enabling rapid time-to-value.
The system is live in production and scaling horizontally—showcasing our ability to deliver reusable, production-grade GenAI systems for enterprise support environments.
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