With the advent of GenAl, customer support is being radically transformed. The adoption of RAG technology (Retrieval Augmented Generation) in support organizations can unlock a future in which customer support is not a cost center, but a value generator.
Squirro's cutting-edge RAG technology is at the forefront of this revolution, empowering organizations to overcome the hurdles of traditional customer support systems.
Customer Support Challenges
Many support agents face operational inefficiencies: sporadic system outages, improvisation need, multi-tasking challenges, as well as a detachment of information and reliance on multiple systems. All of these cause irregularities in their workflow.
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Repetitive Problems |
Training Employees |
Clumsy Knowledge Flow |
Common queries clog the support pipeline, leading to unnecessary delays. | New hires require significant time to become effective, leading to support requirement from team leads. Re- and up-skilling is also time consuming. | Multiple repositories or detached knowledge hubs hinder agent awareness and proficiency. |
Benefits of Squirro’s RAG Technology
Unlocking the full potential of your support organization requires efficient, responsive information retrieval. Combining LLM and RAG technology empowers your service agents with an optimized response flow and customer service.
Enhanced Focus on Complex Issues
Routine tasks can be automated enabling support staff to focus on more complex issues.
Faster Kowledge Uptake
RAG intuitively identifies and suggests relevant responses for high-context retrieval.
Advantages for Support Agents and Organizational Benefits
By streamlining information retrieval, agents are empowered and supported with the necessary data and answers, leading to organizational benefits such as an 80% reduction in workload for support teams and higher customer satisfaction, alongside a 7% increase in Net Promoter Score (NPS) due to quicker resolutions and more effective responses.
Seamless Integration in Customer Support:
From First Response and Copilot to Automation
Integrating AI across various levels of customer support offers modular solutions, each delivering significant benefits. This flexible approach allows businesses to tailor their support strategies with cutting-edge AI technology, enhancing efficiency and customer satisfaction at every turn.
Starting with First Response to classify and escalate queries efficiently, moving through Copilot for real-time data access and informed interactions, and culminating in Automation for resolving inquiries with minimal human intervention.
- First Response:
- Analyzes, classifies, and escalates inbound request flows to human agents.
- Provides a first draft response for agents to use as a customer reply.
- Copilot:
- Integrates into any data storage setup with full enterprise-wide access control enforcement
- Retrieves information, summarizes, and allows you to chat with your documents, tables, etc, in real-time.
- Automation:
- Integrates seamlessly with your service request flow and all of your company's data, analyzing, classifying, and managing the entire client conversation.
- Move directly from inbound request to resolution!
Ready to redefine your customer support experience with AI?
Book a demo with Squirro today and discover how our solutions can transform your service strategy, driving unparalleled efficiency and satisfaction.
FAQs
What is AI-Powered Customer Support?
Can AI in Customer Support Understand and Respond to Complex Inquiries?
Yes, advanced AI systems, especially those using Retrieval Augmented Generation (RAG) technology, are capable of understanding context, intent, and the nuances of language, enabling them to handle complex inquiries more effectively than ever before.
How Does AI Ensure Privacy and Security in Customer Support?
Squirro's RAG technology is designed with privacy and security in mind, adhering to data protection regulations and using secure protocols to manage customer data. Encryption and access controls prevent unauthorized access to sensitive information, meaning that only permitted content is surfaced.