Coaching Bot
With Verint Coaching Bot your agents receive in-the-moment real-time guidance when they need it — elevating their performance by offering next best action suggestions and delivering significant ROI.
Wrap Up Bot uses generative AI to summarize interactions between customers and agents, dramatically reducing after-call work.
An insurer with 30k agents reduced average call duration by 30 seconds with AI-powered wrap up.





With Verint Coaching Bot your agents receive in-the-moment real-time guidance when they need it — elevating their performance by offering next best action suggestions and delivering significant ROI.
The Smart Transfer Bot uses AI to choose the next best action and provides agents with the context they need to help reduce call duration by 30 seconds.
Deliver the right knowledge at the right time with a revolutionary AI-powered approach that increases agent capacity and drives business outcomes.
An AI call summary is an automatically generated written record of a customer interaction, produced by analyzing the conversation transcript and extracting the reason for contact, the actions taken, the outcome and any follow-up required. It replaces the notes an agent would otherwise type manually after the call, and it is written to the system of record within seconds of the interaction ending.
Using industry-leading Verint Da Vinci Real-Time Transcription API Service,™ the Interaction Wrap Up Bot turns the audio of an agent and customer’s interaction into a highly accurate transcript and then uses generative AI to quickly produce a summary of the conversation. This summary is automatically delivered to your system of record in a matter of seconds.
The manual call summaries that agents are required to complete in many call centers, take considerable after-call time and these call notes may often be prone to errors and inconsistency. The Interaction Wrap Up Bot uses generative AI to automatically summarize the essential information of the interaction to generate a consistent, accurate, and secure summary.
After call work, manually creating post interaction summaries, is both time-consuming and tedious work — requiring the agent to remember the various aspects of the conversation and accurately and succinctly document them before moving on to the next, often more important tasks such as helping other customers. The Interaction Wrap Up Bot AI automatically creates call summary that provides key points in a consistent, accurate, and secure summary of the interaction upon its completion. Agents can then move on to tasks that provide them with more job satisfaction while providing their organization with valuable insights into each customer interaction.
Most of it. Verint customers report roughly 60 seconds saved per interaction, which at scale is the difference between a contact center absorbing volume and adding headcount. One insurer with 30,000 agents reduced average call duration by 30 seconds using AI-powered wrap up, worth $70 million.
Accuracy depends first on transcription quality, which is why Verint Wrap Up Bot runs on Da Vinci AI transcription rather than a generic speech engine. Summaries are generated consistently against the same structure every time, which removes the variability of manual notes. The AI agent also trains on your own fresh interaction data, so quality improves as it processes more of your conversations.
Yes. Wrap Up Bot covers both voice and digital interaction channels in more than 80 languages, and runs in on-premises, cloud and hybrid environments. Voice audio is captured in your existing ACD, transcribed in real time, summarized, and delivered to your system of record.
The completed summary is delivered to your system of record within seconds of the interaction ending, embedded in the existing agent workflow rather than as a separate application the agent has to visit. That placement matters: a summary that lives outside the CRM does not remove the copy-and-paste work it was meant to eliminate.
Because the next agent or Conversational AI agent handling that customer reads them. Manual summaries vary in quality and completeness, so context is lost between interactions and customers repeat themselves. Consistent, structured summaries give the next handler accurate history, which reduces handle time on repeat contacts and improves the quality of downstream analytics and quality review.