AI Customer Service Agent
LeewayHertz’s customer service chatbot seamlessly integrates your existing knowledge base and automatically resolves half of your support tickets. The AI chatbot leverages advanced large language models, including GPT-4, Mistral, Llama 2 and Gemini, to provide accurate, context-aware responses to customer queries.
Advanced Features of Our Customer Service Agent

Conversational AI

Multisource Answers
The agent can ingest data from multiple sources, such as your CRM system, customer feedback forms, product manuals, public URLs and more, ensuring the agent has access to all the information it needs.

Intelligent Question Routing

AI-powered Inbox
When intricate problems are forwarded to your human support team, representatives can swiftly draft responses and recap conversations for other team members, ensuring a collaborative issue resolution.

Omnichannel Support

Human-in-the-loop

Automatic Multilingual Support
Our customer service agent detects the languages spoken by your business’s customers and resolves their issues, ensuring seamless communication across diverse global markets.

Voice Interaction

Unified Workflow Integration
Why Choose Our AI Agent?
Reduce Support Ticket Volume
Our agent employs advanced LLMs like GPT-4, Gemini, Llama 2 and Mistral to provide accurate answers to customer queries, effectively reducing your team’s ticket volume.
Reliable Responses
Customization Options
Global Reach
Automated multilingual support allows the agent to identify and address issues in the languages spoken by your customers. This facilitates smooth communication across diverse global markets.
Request a Demo
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Insights
Generative AI in construction: Mapping high-value use cases across the operating model
By mapping AI opportunities at the sub-process level, construction firms can move from broad innovation ideas to executable workflows with clear business value, trusted source documents, review responsibilities, governance controls, and implementation paths.
Generative AI Use Cases in Manufacturing: Improving Workflows and Operational Efficiency
Manufacturing is a well-suited field for generative AI and agentic AI because its work depends on engineering documents, shop-floor records, quality evidence, supplier submissions, compliance requirements, and operational decisions.
Generative AI use cases in banking: Enhancing workflows and operational efficiency
Banking is well-suited to generative AI because it operates at the intersection of data, documents, regulations, customer interactions, risk management, and operations.



