What I like most is how quickly the Intelligent Virtual Assistant can handle common customer queries without requiring agent intervention. It helps provide consistent responses, is easy to integrate into existing workflows, and can reduce the workload on support teams while still giving customers a quick response.

I use Verint Intelligent Virtual Assistant mainly to automate routine customer-service interactions across chat and voice, which is really helpful for handling repetitive requests and guiding customers through self-service workflows. The AI makes conversations feel more natural and contextual. What really stands out to me is how Verint IVA combines conversational AI with actual self-service workflows, not just answering FAQs. I like the low-code IVA Studio and how it can use approved knowledge sources, making the responses feel controlled and reliable. It’s great that I can deploy the same experience across voice and digital channels. I find the drag-and-drop workflow builder super useful since it makes it easy to design, test, and fine-tune conversational flows without coding everything from scratch. Monitoring performance through dashboards and gradually adding more advanced AI or pro-code customization is valuable. The combination of low-code workflow building, conversational AI, and cross-channel self-service makes it valuable because it saves agent time and gives customers faster answers. Plus, monitoring and refining conversations help us improve the experience over time. The initial setup was very easy for me.

I like that Verint Intelligent Virtual Assistant can quickly handle common customer questions and provide answers without always needing a human agent. It saves time and helps improve the overall customer support experience.