Adaptive Engine - Customer Support

Customer Support

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.

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.

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Use Cases

Use Case: RAG Knowledge Retrieval

Enable access to enterprise knowledge at scale. Achieve best-in-class retrieval accuracy and eliminate hallucinations.

Use Case: Text to SQL

Create specialized AI agents to accelerate business analytics. Interface with databases using only natural language.