Customer
Support
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Challenge
Deploying customer-facing LLMs with leading accuracy and safety.
Quality customer support is critical to business success. Automating support with LLMs reduces costs while improving response time and customer satisfaction.
However, even frontier models struggle to provide accurate answers on company-specific topics.
![](https://cdn.prod.website-files.com/6750c47e14882ab5f2ffe035/67552ffa2aaf2141460e8e63_Group%204.avif)
Solution
Use task-specific AI agents for accurate, efficient, and personalized support.
Reinforcement fine-tuned adapters that share a model backbone deliver unparalleled specialization for support use cases, while minimizing GPU requirements.
Agents can be trained on synthetic data, ensuring safety while increasing speed-to-production.
Workflow
Improve support quality
When prompt engineering isn’t enough, tune models to follow your unique customer support guidelines.
Speed to production
Shorten time to production with customizable AI judges that evaluate whether models adhere to your support policies.
Reduce support cost
Reduce cost for agentic workflows with adapters that deliver personalized support while minimizing GPU needs.