Use Cases
Use Cases for AI Teams
Explore how teams use ChatInfer to build reliable AI applications — from customer support to enterprise deployment.
Use case 1
AI Customer Support
The problem
Support teams spend hours answering the same questions. Customers expect instant, accurate responses — but building AI support from scratch is complex and time-consuming.
How ChatInfer helps
ChatInfer lets you deploy an AI support assistant that answers customer questions from your docs, help center, and product knowledge. The assistant handles common inquiries, escalates complex issues, and reduces repetitive tickets.
Example workflow
Connect your documentation and knowledge base
Configure the chatbot for your support workflow
Deploy the assistant on your website or app
Monitor conversations and improve responses over time
Use case 2
Internal Knowledge Assistant
The problem
Employees waste time searching across documents, policies, and tools for information. Knowledge is scattered and hard to access.
How ChatInfer helps
ChatInfer helps teams build an internal AI assistant that searches policies, documentation, and company knowledge through a secure conversational interface. Answers include source references for verification.
Example workflow
Upload internal documents and knowledge articles
Configure access controls for sensitive content
Deploy the assistant for your team
Update knowledge bases as your content evolves
Use case 3
Developer AI API
The problem
Engineering teams managing multiple LLM providers deal with different SDKs, authentication, and rate limits. Switching models requires rewriting integration code.
How ChatInfer helps
ChatInfer provides a unified API for chat completions across multiple providers. Use one request format, one authentication method, and one dashboard for monitoring usage and cost.
Example workflow
Get your API key through early access
Send chat completion requests with a single API call
Monitor usage, latency, and cost from the dashboard
Route traffic across models without changing code
Use case 4
Model Routing and Cost Optimization
The problem
Different AI use cases need different models. Using expensive models for simple tasks wastes budget. Teams lack visibility into cost and performance across providers.
How ChatInfer helps
ChatInfer's model gateway lets you route requests to the best model for each use case. Configure routing rules based on cost, latency, or capability. Monitor usage patterns and optimize spending.
Example workflow
Connect multiple model providers to ChatInfer
Configure routing rules for your use cases
Monitor cost and latency from the dashboard
Adjust routing to balance performance and budget
Use case 5
Enterprise AI Deployment
The problem
Enterprises need secure, compliant, and scalable AI infrastructure. Evaluating vendors, managing access controls, and planning deployment takes months.
How ChatInfer helps
ChatInfer provides enterprise-grade AI infrastructure with SSO/SAML, data retention controls, security reviews, and dedicated support. Early access users get deployment consultation and private beta discussion.
Example workflow
Schedule a deployment consultation
Review security and compliance requirements
Plan your AI workflow architecture
Onboard your team with dedicated support
Not sure which use case fits your team?
Book a demo and we'll help you find the right approach.