We are excited to announce that our insightful webinar, LLM Orchestration and Contact Center Automation for the Agentless Future, is now available on demand! In this session, our experts Chris McManus and Ramazan Gurbuz explore how Large Language Models (LLMs) and orchestration are revolutionizing the future of customer service and enabling agentless contact centers.
The webinar dives into key topics such as understanding LLMs, the role of AI orchestration in contact center automation, and how these technologies are enhancing scalability and flexibility in operations. Gain insights from real-world examples and expert analysis.
Watch the webinar now to discover how LLM orchestration can transform your contact center! You can find more of our webinars here.
Webinar Outline:
- 00:00 Intro
- 04:20 Understanding Teneo
- 10:20 What is LLM Orchestration?
- 13:00 How does Teneo deliver LLM Orchestration for Contact Center automation?
- 19:20 Benefits of Contact Center automation
- 30:00 Q&A and Closing Remarks
You can watch the webinar on demand here: Webinar Link
FAQs
What is LLM orchestration and how does it enhance contact center automation capabilities?
LLM orchestration coordinates multiple large language models to optimize performance, cost, and accuracy in contact center automation. It intelligently routes queries to appropriate models (reducing costs by 60-80%), combines model strengths for complex tasks, ensures consistent quality across interactions, and provides enterprise-grade security and governance. This approach enables sophisticated AI capabilities while maintaining cost efficiency and regulatory compliance.
Master LLM orchestration: Watch our LLM Orchestration Webinar to understand how intelligent model coordination transforms contact center automation.
How does LLM orchestration improve contact center automation efficiency and cost management?
LLM orchestration improves efficiency by using smaller models for simple queries (90% cost savings), reserving expensive models for complex interactions, optimizing prompt engineering (reducing token usage by 40-60%), and implementing intelligent caching (improving response times by 70%). Organizations typically see 50-80% reduction in AI operational costs while maintaining or improving service quality and customer satisfaction.
What contact center automation use cases benefit most from LLM orchestration?
LLM orchestration excels in multi-language support (50+ languages), complex problem-solving (+90% resolution rate), content generation (personalized responses), knowledge synthesis (combining multiple data sources), and compliance-sensitive interactions (maintaining regulatory standards). It’s particularly valuable for organizations with diverse customer bases, complex products, or strict regulatory requirements, enabling sophisticated automation while managing costs and risks.
Implement LLM orchestration: Schedule an LLM Orchestration consultation to discuss how intelligent model coordination can optimize your contact center automation.