Agent-assist LLM, Tone Checks, and Auto-tagging
We equipped support agents with AI-assisted workflows designed to draft compliant replies, automate ticket tagging, and improve response speed across high-volume support operations.The platform was built to reduce repetitive manual work and help teams handle growing ticket volumes more efficiently while maintaining consistent, polite, and brand-aligned communication.
Ptera implemented the AI infrastructure behind the workflow, combining intent detection, documentation retrieval, response generation, tone validation, and automated routing to support faster and more scalable customer-service operations.
Challenge & Strategy
- High ticket volumes required consistent, polite responses and accurate tagging to raise throughput.
- Customer support workflows needed to consistently meet sponsor bank MSA requirements.
- Agents were overwhelmed by repetitive queries and manual doc searches, causing delays and inconsistent tone.
Technical Approach & Integration
- Implemented an agent-assist LLM workflow that drafted replies, retrieved relevant documentation, and auto-tagged tickets to support faster and more consistent customer-service operations.
- Tone-validation workflows helped maintain polite, compliant, and brand-consistent communication across high ticket volumes.
