Unified Compliance and Actionable Intelligence for Next-Gen Communications and CRM
Caju AI is a Gen AI Customer Engagement platform designed to help regulated organizations analyze communications and customer data for actionable intelligence and business insights, while enforcing compliance, supervision, security, and privacy mandates across platforms.
Cloud-native Customer Experience
Transforming how you handle customer interactions. Our platform seamlessly manages Caju AI Mobile and Desktop connections, hosts the Customer Experience dashboard, and integrates with your CRM systems. Powered by cutting-edge AI and secure cloud technology, we streamline and safeguard your entire customer interaction process with scalability and privacy in mind.
Leveraging the impressive capabilities of generative artificial intelligence to understand human conversations, Caju AI swiftly analyzes mobile communications and related customer records across the organization on a large scale. It provides call summaries, key metrics, next best response and other actionable customer insights that enables teams to deliver exceptional customer service, build stronger relationships, and achieve superior business outcomes.
Transform Conversation Insights into Actionable Business Intelligence
Mobile messaging channels like WhatsApp, WeChat, SMS, Signal, Telegram and voice communications have become crucial tools for customer-facing communications across industries. However, for regulated sectors such as banking and financial services, these apps present significant compliance and security challenges. Caju AI enables full compliance, and supervision of all mobile conversations. Eliminate the risk of off-channel communications.
Enable your employees and clients to foster digital relationships
Securely capture, archive and retrieve all employee-client communications from all messaging channels while leveraging a generative AI approach that goes beyond lexicon-based policies to recognize events that violate policy intent, greatly increasing the precision of true event detection while minimizing false positives.