Tag: voice ai
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How Danone’s AI took on 32,000 patient calls without waiting for a perfect business case
In short Gartner predicts 40% of agentic AI projects will be cancelled by 2027, and separately, 95% of enterprise generative AI projects show no measurable return within six months Most of these projects fail because the AI got picked before the problem did A simple grid, plotting business impact against interaction complexity, decides where to…
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How a DIY voice AI stack for your Contact Center becomes mistake one of four.
In short Four infrastructure decisions quietly decide whether a voice AI launch survives contact with real customers Stitching together your own carrier, transcription, voice engine and language model means owning every latency and guardrail problem yourself A single AI layer can be talked into a bad answer, a second independent layer needs to check every…
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The 2026 AI Contact Center Evaluation Guide for Salesforce Orgs
Summary Evaluating AI contact centers for Salesforce requires moving beyond standard feature comparisons. This guide provides a framework for decision-makers to assess vendors based on three critical pillars: Architecture: Choosing 100% Salesforce-native platforms (like Natterbox) means voice data, AI transcription, and analytics are written directly to Salesforce objects in real time. This eliminates the latency,…
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A $41 Billion Market Is Being Built on Voice AI. Here’s Why Financial Services Is Leading the Charge.
We’re proud to be sponsoring MoneyLive Summit 2026 — Europe’s leading event for banking and financial services leaders. Here’s why we’re there, what we’re working on, and why now is the moment for Voice AI in your contact centre. March 9–10, 2026 · London · Published by Natterbox MoneyLive brings together the people shaping the…
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Top 12 Salesforce Contact Center Solutions for 2026: Ranked & Reviewed
In 2026, the question isn’t if you need a contact center solution integrated with Salesforce. It’s how deep that integration goes. When evaluating Salesforce contact center solutions in 2026, the friction points are no longer just about call quality or basic routing. They are about data silos. When your voice data lives in one cloud…
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The Difference Between Generative AI and Agentic AI
Contact centers are facing a math problem they can’t hire their way out of. For years, support teams operated on a model of linear scaling: as customer interactions grew, headcount had to grow with it. Today, that equation is broken. Rising interaction volumes and flat budgets mean leaders must find a way to decouple revenue…
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A Practical Guide to Projecting Your Conversational & Agentic AI ROI
You don’t need another article telling you “AI is the future.” You need a practical way to prove its value to your CFO. This guide cuts through the hype and gives you a simple framework to build a real business case for conversational and agentic AI in your Salesforce contact centre. Executive Summary: Your AI…
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The Agentic Enterprise Arrives: Building Voice AI Agents That Truly Work
The future of customer experience is Agentic — and it starts with Voice. As Salesforce’s launch partner for Agentforce Voice, Natterbox shares its best practices for building Voice AI agents that truly work inside the new Agentic Enterprise. From controlling agent behaviour and embedding context from CRM data to designing fluid, human-like conversations and monitoring…