The AI agent is context-aware. It can read and understand previous conversations, including interactions with human agents. Unlike traditional chatbots that rely on rigid if-else logic, It combines this contextual awareness with your knowledge base, policies, and guidelines to write relevant responses, ensuring a more natural interaction.
The agent continuously learns from various sources, including text files, PDFs, Word files, and websites, to enhance its understanding, improve response accuracy, and provide more relevant and informed answers.
Ensures smooth AI-to-human handoff when needed. It triggers when the AI lacks information, a customer requests a human, or a business policy requires human intervention. Before escalating, the AI gathers key details and summarizes the issue for a seamless transition. Once resolved, the human supervisor can have the AI inform the customer and close the conversation efficiently.
Automated post-interaction surveys and detailed CSAT reports. Businesses can track satisfaction ratings, individual feedback, response rates, and agent performance over specific time periods, gaining valuable insights to improve customer experience.
The AI agent can analyze images received from customers, extracting relevant details to assist with inquiries. Additionally, it can send stored images in the appropriate context, such as product guides, or troubleshooting diagrams.
Simulate customer interactions whenever you update the bot's configuration. Ensure responses remain accurate, relevant, and aligned with brand guidelines. By running automated test scenarios, businesses can maintain high-quality customer interactions.
1CS has been proven to boost CSAT and reduce customer churn. Set it up once, and you’ll never have to worry about customer service again.
Agentic AI for Customer Service.
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