Author
Urza Dey (She/They) is a content/copywriter who has been working in the industry for over 5 years now. They have strategized content for multiple brands in marketing, B2B SaaS, HealthTech, EdTech, and more. They like reading, metal music, watching horror films, and talking about magical occult practices.
94 articles
Conversational AI is software that talks with people through voice or text and completes tasks during the conversation. This guide explains how it works for customer service, the main use cases and the best practices for deploying it.
SynthFlow AI is a well-known and capable platform that delivers strong results for many teams. This guide compares Synthflow.ai alternatives for teams that weigh reliability, voice quality, pricing predictability and scalability.
In a contact center, staffing plans often look solid at the start of the day, yet service levels decline as agents spend time away from live calls. This guide explains what shrinkage is and how to minimize it with AI.
The AI use cases that pay off in contact centers, from self-service and agent assist to sentiment analysis, QA automation and fraud detection.
Vapi is a popular choice for teams exploring voice AI during early prototyping and experimentation. As organizations move toward production use, this guide compares Vapi alternatives on operational stability, predictable scaling, integrations and support.
Even short hold times can quickly turn into customer frustration, abandoned calls and a negative view of the brand. This guide explains how long is too long on hold and covers strategies and best practices to reduce hold time.
An eight-step path to putting AI voice agents into production: define the use case, pick the platform, wire the integrations, design the conversation, test, pilot, measure, scale. With what Orvera runs for you in 3 to 6 weeks.
Traditional and AI contact centers compared on cost structure, scalability, data and ROI, with where humans still add the most value.
How AI voice agent pricing actually works: the three models vendors use, the cost drivers behind the per-minute rate, the fees that surface after signature, and how to estimate a realistic budget.
See how CX teams turn these AI strategies into resolved conversations, on the stack they already run.
