Today’s customer service requires more than just faster responses—it demands precision, personalization, and scalability. AI agents go beyond automating tasks; they help businesses anticipate customer needs, improve agent productivity, and uncover valuable insights that drive continuous improvement. Cobbai’s AI agents offer a dynamic solution designed for long-term growth.
Three key pillars of Cobbai’s AI agents
Autonomous support: Handle routine tasks effortlessly Cobbai’s AI agent Front autonomously manages routine and repetitive customer interactions, such as FAQs, order status updates, and product recommendations. By handling these tasks without human intervention, Front reduces workloads, improves first-response times, and ensures consistent customer experiences.
Agent augmentation: Assist human agents with intelligent support Companion enhances the productivity of human agents by suggesting draft responses, recommending next-best actions, and offering contextual knowledge from internal systems. This real-time guidance allows agents to resolve complex cases faster and seize sales opportunities during interactions.
Actionable insights: Unlock valuable information across interactions Analyst continuously processes customer interactions, detecting patterns, identifying common issues, and surfacing product feedback. These insights are shared across support, marketing, and product teams to help prioritize improvements and optimize processes.
Precision through full control and adaptability
Cobbai’s AI platform is built to adapt to your business needs. Users have full control over their AI agents through Cobbai’s core features: Coach, Test, Activate, and Monitor. These tools ensure that your AI agents stay aligned with your business rules, customer preferences, and performance standards. COACH Train agents with business-specific rules and tailored instructions. TEST Simulate real scenarios in a sandbox environment to fine-tune agent responses.
ACTIVATE Set the boundaries for where and when agents operate. MONITOR Track AI outcomes and CX performance metrics to continuously refine agent behavior.
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