[et_pb_section fb_built="1" _builder_version="4.5.2" _module_preset="default" custom_padding="15px|||||"][et_pb_row _builder_version="4.5.2" _module_preset="default"][et_pb_column type="4_4" _builder_version="4.5.2" _module_preset="default"][et_pb_text _builder_version="4.5.2" _module_preset="default"]Knowledge automation not only recommends exact answers, it streamlines and simplifies process navigation, so CSRs can easily take the right action for the situation, each and every time. With Average Handle Times nearly doubling during the pandemic, now more than ever it's critical that contact center leaders take measures to eliminate procedural confusion and simplify things for their agens. 71% of consumers expect their problem to be solved immediately upon contacting customer service. That means no on-hold time, no transfers, no “we’ll get back to you”. Read on to learn how Shelf improves content quality through intelligent guidance and workflow modules that automate feedback, content publication, and announcements.[/et_pb_text][et_pb_divider show_divider="off" _builder_version="4.5.2" _module_preset="default"][/et_pb_divider][et_pb_text _builder_version="4.5.2" _module_preset="default"]
Guided Answers
Approximately 20% of interactions require an agent to follow a specific procedure or take sequential steps through a process. Unfortunately, most organizations require agents to manually scan through heavy documentation and clumsily jump from place to place to get to the next step, which is prone to error. This leads to things that we all wish to avoid - supervisor escalations, irate callers, and lost customers. Knowledge automation solves these problems by powering intelligent content guidance. Stacks of heavy processes and procedures are transformed into decision trees that guide the agent step by step through a complex process. By automating these procedures through intelligent content, agents - regardless of their level of experience - can easily understand what needs to be done and take the appropriate course of action. The customer has their issue solved and the CSR has done things by the book, helping keep the contact center operation in compliance with the relevant rules and regulations. [/et_pb_text][/et_pb_column][/et_pb_row][/et_pb_section]
The terms “AI interpretability” and “explainability” (XAI) are frequently used but often misunderstood. This confusion is an expected part of grappling with a field that is itself in a state of rapid development and debate. This article aims to clarify the distinction...
Data modeling is an important practice of modern data management. It involves creating abstract representations of data to better understand and organize your information. This lets you design databases and other data systems that are efficient, reliable, and scalable. What is Data Modeling?...
Few-shot prompting is a powerful technique that enables AI models to perform complex tasks with minimal data. This method is valuable for organizations looking to leverage AI capabilities without the extensive data requirements and training costs typically associated with traditional AI...
