Senso: AI-Powered Knowledge Base for Customer Support Features
Senso is an AI-powered knowledge base platform that improves customer support quality and efficiency for credit unions, banks, and traditional enterprises through self-improving knowledge sharing and real-time insights.
View MoreKey Features of Senso: AI-Powered Knowledge Base for Customer Support
Senso is an AI-powered knowledge base designed for customer support, particularly in the financial services industry. It centralizes enterprise knowledge, leverages large language models to improve information flow, and provides real-time insights from customer interactions. Senso enables faster decision-making, reduces contact time, and enhances service quality through features like self-improving knowledge sharing, digital memory capture, and AI-assisted policy management.
Self-Improving Knowledge Sharing Engine: Continuously updates and refines the knowledge base, improving response quality over time.
Digital Memory from Interactions: Captures insights from customer conversations across various channels to inform decision-making.
AI-Assisted Policy Management: Identifies gaps and conflicts in policies and procedures, suggesting improvements.
Agent Echo and Agent Fetch: Tools for tracking issues, allocating resources, and quickly accessing relevant information.
Customizable Permissions: Allows granular control over access to information based on roles and context.
Use Cases of Senso: AI-Powered Knowledge Base for Customer Support
Credit Union Member Support: Enables credit union staff to quickly answer member queries and improve response times.
Financial Services Compliance: Helps maintain up-to-date policies and procedures in highly regulated industries.
IT Helpdesk Optimization: Provides real-time insights to identify training opportunities and improve support efficiency.
Customer Self-Service: Empowers customers with hassle-free onboarding and access to information.
Pros
Significantly reduces contact time for customer support
Improves decision-making speed and accuracy
Continuously improves knowledge base quality
Integrates with existing workflows and tools
Cons
Initially focused on specific industries like financial services
May require significant setup and integration effort
Potential privacy concerns with capturing and analyzing customer interactions
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