Revolutionize Customer Experience
and Empower Agents with AI Assist

Turbocharging Agent Responses with ChatGPT & Generative AI-powered Recommendations

Boost Agent Performance with Accurate and Real-time Recommendations

Aisera’s AI Assist, powered by ChatGPT and Generative AI, enables agents to resolve customer requests quickly. With the help of accurate recommendations, agents can promptly resolve incoming requests, resulting in timely inquiry resolution. This not only enhances customer satisfaction but also elevates the agent experience and boosts overall productivity. Aisera’s AI Assist includes Ticket AI Assist and Conversational AI Assist.

reduce support cost

Reduce Support Costs

Provide significant cost savings by automating routine and repetitive support tickets with recommended solutions from similar and previously solved tickets

Optimize Agent Performance

Increase efficiency with automated ticket classification, routing, and correlation, optimizing processes and saving valuable time and resources

Resolution times

Reduce Resolution Times

Empower your agents to deliver fast service with helpful suggestions based on context, customer intent, and sentiment

AI Recommendations for Ticket Resolution

Leverage Ticket AI Assist to provide agents with targeted suggestions and coaching based on knowledge articles, similar tickets, resolution notes, and next best actions via an embedded UI widget in ticketing systems like Salesforce and Zendesk

AI recommendation ticket resolution

Real-time Assistance for Agents

Elevate customer interactions with Conversational AI Assist by capturing real-time conversational insights such as sentiment, emotion, context and priority to deliver real-time recommendations during live conversations

Real-time assistance

Auto-Triage and Prediction

Classify and route tickets to the right support agent based on category, sub-category, case type, root cause and urgency

Auto triage

Auto-Resolve Tickets

Resolve user requests across multiple channels without any agent intervention based on a confidence threshold for increased efficiency

Auto resolve ticket

Semantic Search Using Large Language Models (LLMs)

Enable real-time, automatic, and agent-invoked searches using large language models within the enterprise knowledge base for accurate and relevant search results

Semantic search using LLMs

Continuous AI Learning

Improve prediction accuracy and recommendations by learning from historical conversations, user activities, tickets, knowledge base articles, and agent interactions

Continuous AI learning