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
AI voice agent deployments in contact centers usually fail because teams underestimate what production readiness actually requires. This post covers the common mistakes to avoid when deploying AI voice agents into live contact center environments.
Sierra is one of the platforms emerging in conversational AI, positioned to manage customer interactions across voice, chat, messaging and email. This guide compares the best Sierra AI alternatives to help teams find the right fit.
Schedule adherence is one of the most important workforce management metrics in modern contact centers. It measures how closely agents follow their assigned schedules, and this guide covers best practices to improve it.
How AI voice agents write call outcomes, entities and follow-ups straight into the CRM, the four integration paths (native connectors, APIs, middleware, webhooks) and what to check before you pick a platform.
When companies evaluate AI agent platforms, pricing is often one of the first questions buyers try to answer. This guide explains how Sierra AI pricing works, the main cost drivers and what to confirm first, since its plans are not publicly listed.
Voice AI introduces regulatory complexity that many text-based AI systems do not face. This checklist covers what CX and compliance teams should review before deployment, including data residency, consent management, subprocessor disclosures and security reports.
Modern support operations are under constant pressure to do more with fewer resources while customers expect quick answers. This post explains what first call resolution is and why it matters for customer support and sales teams.
Customer engagement rarely happens on a single channel anymore, as customers move between chat, SMS and phone calls. This post explains how omnichannel voice AI keeps context across those channels so customers stop repeating themselves.
Many CX teams assume that building their own AI voice agent will provide greater flexibility or cost advantages. This decision guide compares building and buying on cost, ROI and the effort required to reach production.
See how CX teams turn these AI strategies into resolved conversations, on the stack they already run.
