Customer support · Production
AiseraGPT Generative AI for Customer Service: Conversational Self-Service and Agent Assist
The problem
Customer service teams face ever-rising consumer demands, agent burnout from repetitive tasks, and pressure to scale support while cutting costs and reducing resolution times.
Workflow diagram · grounded in source
1
Customer submits request
trigger
“allowing customers to interact in a human-like, conversational way to automatically receive order tracking support, an answer to a question, or help with an issue”
2
AI auto-resolution
ai_action
“Aisera's ability to reduce ticket volumes through auto-resolution and self-service for repetitive tasks”
3
Agent AI assist via Ticket AI
ai_action
“Aisera's Ticket AI provides resolution notes and next-best actions for agents to streamline the support experience”
4
Self-learning improvement
feedback_loop
“continuously learning from the customer environment”
Reported outcome
Aisera claims to reduce ticket volumes through auto-resolution, cut resolution times and costs, and increase both agent productivity and customer satisfaction.
Reported metrics
Resolution timesreducing resolution times
Support costscutting costs
Ticket volumesreduce ticket volumes
Customer wait timesreduce wait times
Show all 5 reported metrics
resolution timesreducing resolution times
support costscutting costs
ticket volumesreduce ticket volumes
customer wait timesreduce wait times
agent productivityimprove the productivity of customer support agents
Reported stack
AiseraGPTChatGPT Generative AIConversational AITicket AI
Frequently asked questions
What did this team achieve with this AI workflow?
Aisera claims to reduce ticket volumes through auto-resolution, cut resolution times and costs, and increase both agent productivity and customer satisfaction.
What tools did this team use?
AiseraGPT, ChatGPT Generative AI, Conversational AI, Ticket AI.
What results were reported?
Resolution times: reducing resolution times; Support costs: cutting costs; Ticket volumes: reduce ticket volumes; Customer wait times: reduce wait times (source-reported, not independently verified).
How is this customer support AI workflow structured?
Customer submits request → AI auto-resolution → Agent AI assist via Ticket AI → Self-learning improvement.