Solving the contact center productivity paradox
Contact center business leaders are challenged to equally optimize for operational efficiency, customer satisfaction, employee retention, and risk and compliance, yet are forced to make tradeoffs as improvements to one call center metric results in decrements to the other KPIs

SambaNova Contact Center Intelligence
SambaNova Contact Center Intelligence enables enterprises to overcome the contact center productivity paradox by seamlessly integrating generative AI into existing contact center workflows, with no need to rip and replace existing tools.
AGENT ASSIST
INTELLIGENCE
Enabling agents to focus on customer service
ADVANCED POST
CALL INTELLIGENCE
Scalable, detailed reporting of every engagement
COMPLIANCE
INTELLIGENCE
Additional security for greater protection and compliance
Generative AI to power contact center workflows

Agent Assist Intelligence
Receive detailed, real-time guidance to enable contact center employees to focus on the customer and guide them to deliver a better experience, without the need to worry about administrative overhead

Automatic call summarization
Summarize the conversation transcript at the end of each call for the agent to tweak and save for improved call logging

Input assist (NER)
Automatically extract customer provided information (e.g. email addresses) for manual and automated workflows

Live sentiment
Integrate real-time sentiment classification in agent consoles to guide the agents on the “best way” to respond

Automatic utterance classification
Classify customers’ utterances to improve call routing, provide next-best-action recommendations, and more

Q&A assist
Help agents find answers/procedures to address the customer questions by retrieving relevant document, passage, and answer from internal knowledge base
Advanced Post Call Intelligence
Understand every customer interaction with consistent, scalable, detailed, and accurate reporting of all contact center customer engagements

Call tagging and categorization
Tag each call automatically with attributes such as topics, issues, action items, and sentiment for easy discovery of calls

Customer sentiment
Identify exactly when the customer sentiment changed and analyze root cause

Call transcription with speaker separation
Identify who said what and when, with high accuracy

Agent sentiment
Identify exactly when the agent sentiment changed and analyze root cause

Advanced call insights
Develop complete nuanced understanding of customer conversations such as talk time between agent and customers, nature of dialog, and more
