Cresta has announced the launch of Cresta Knowledge Agent, a next-generation AI assistant designed to support contact center professionals with real-time, proactive intelligence. Designed to integrate flawlessly with human agents, the system offers pinpoint accuracy in answers during real-time customer engagement – without the need to prompt the system manually – which is a major breakthrough in agentic AI technology in the context of customer experience operations.
The development of the Knowledge Agent is particularly relevant at a time when contact center operations are increasingly challenged to effectively handle the intricacy of customer engagement with the need to juggle multiple systems and fragmented data sources.
“Contact center agents have a hard job. They’re constantly juggling multiple tools to find the information they need, all while speaking to the customer at the same time,” said Ping Wu, CEO of Cresta. “Knowledge Agent is a second brain for contact center agents. It hears what they hear and sees what they see, handling all of the searching for them and giving them the answers they need, right when they need them.”
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Cresta Knowledge Agent is designed to bridge the gap between conversation context and system data. By analyzing not only the spoken interactions but also the on-screen activities of the customers in real time, the assistant provides very contextual and highly personalized responses for each customer situation. It also uses browser context-data such as customer account status, order history, and loyalty information in order to provide instant and accurate answers and point to relevant sources of knowledge.
Apart from the support tools that depend on a manual search, Knowledge Agent is a proactive tool that works silently behind the scenes. It keeps on listening to live conversations and discovers the best moments for showing relevant insights, thereby freeing agents from having to step away from their workflows in order to get information. Besides speeding up response times, this also helps increase first call resolution rates and reduce the time it takes to train new agents.
This product comes with a browser-based interface that is accessible persistently even as the user moves between tabs and systems allowing them to have access to knowledge at all times. No matter if the agents are moving between CRM platforms, billing tools, or internal knowledge bases, the assistant is always there within their workflow thus avoiding the inefficiencies that arise from constant context switching.
The other defining capability of Knowledge Agent is its ability to unite conversational and on-screen contexts. This is enabled by the agent’s ability to recognize contexts, whereby the Knowledge Agent reads key pieces of information from the agent’s screen, such as the tier of the customer, booking details, status of accounts, etc. This level of contextual intelligence replaces FAQs with precise and specific information, improving the quality of interactions with the customer.
As enterprises continue to deal with fragmented data ecosystems, Cresta Knowledge Agent addresses what is often referred to as the “toggle tax”—the productivity loss and cognitive strain caused by switching between multiple tools. By centralizing knowledge delivery into a single, intelligent layer, the platform enhances agent productivity while reducing mental fatigue.
The launch of Knowledge Agent also signals the beginning of a broader evolution in agentic AI within contact centers. Cresta positions this solution as the first in a series of intelligent assistants designed to transform how human agents operate, collaborate with AI, and deliver customer service.
Wu added, “With Knowledge Agent, generalists can handle a wider range of issues without transferring the customer or putting them on hold. And without the need to multi-task to find the information they need, they can focus on what they do best: serving the customer.”
With this launch, Cresta continues to strengthen its role in shaping the future of AI-driven customer experience, enabling organizations to deliver faster, smarter, and more personalized support at scale.