ASAPP has announced an expansion of its Customer Experience Platform (CXP), introducing a system of purpose-built AI agents designed to manage end-to-end customer service operations.
The move aims to transition enterprises toward an agentic model, where AI handles complex interactions autonomously while maintaining operational oversight.
The updated CXP now features natively integrated agents intended to simplify the development process, enable continuous self-learning, and surface actionable insights. By moving beyond basic conversational tools, the platform seeks to provide a more comprehensive framework for running AI-driven service at scale.
Priya Vijayarajendran, CEO of ASAPP, said:
“The goal was never to build just a conversational agent. It was about delivering reliable AI-powered customer service at scale, end to end, in production . What we’ve built is a true agentic platform—bringing multiple purpose-built agents together to handle every turn of complex, real enterprise customer service interactions.”
As AI agents take on a larger share of customer interactions, many enterprises are finding it difficult to coordinate AI workflows with human judgment and existing policy frameworks. ASAPP’s CXP is designed to bridge this gap by providing a system of five distinct agents, each addressing a specific layer of the customer service journey. This structure is intended to support autonomous resolution while ensuring the governance required for enterprise-level operations.
Vijayarajendran emphasized that the success of AI in the contact center depends on more than just high-level performance in isolated cases. “An AI agent proves its value not in a single brilliant response, but in its consistency across interactions – remaining accurate, safe, responsive, and protective of privacy at every turn,” she added.
According to ASAPP, the deployment of these agents has already led to faster implementation timelines and improved first-contact resolution (FCR) rates. By reducing operational errors and increasing task completion consistency, the platform allows service organizations to shift their focus from managing individual tickets to overseeing a holistic, AI-driven operation.
Operational Reliability
By moving away from isolated tools toward a unified system that handles reasoning, action, and governance, ASAPP aims to address the trust gap that has hindered large-scale AI adoption in the enterprise. This approach suggests that the future of CX will not be defined by how many tasks an AI can perform, but by how well these agents can be orchestrated to maintain brand standards and complex compliance requirements. For the broader market, this raises the bar for CX vendors, shifting the competition from conversational capability to operational reliability.