Revolut deployed conversational AI voice agents across the UK and Europe, cutting ticket resolution time by 8x and serving over 4 million customers in 31+ languages — without sacrificing compliance or control.
There is a particular grief that comes with losing your voice as a musician — one that goes beyond illness. It is the silencing of how you have always told the world who you are. AI voice technology is beginning to change that. Not by replacing what was lost, but by finding it again — buried in old recordings, rehearsal tapes, and fragments of a life before diagnosis. Patrick Darling's story is one of the first of its kind. It will not be the last.
The way we learn is changing – and it starts with a conversation. Voice AI is turning static classrooms into interactive experiences, making education more accessible, and letting history's greatest thinkers speak for themselves. The future of learning isn't just smarter. It's louder.
Guests expect instant answers at midnight, across every channel, with no hold music and no repetition. Here's how conversational AI is helping hospitality brands meet that bar – and what to look for when choosing a platform.
Patients today expect the same seamless experience from their healthcare provider that they get from their bank or their favorite retailer. Voice AI is how healthcare organizations are finally starting to close that gap — without adding headcount or overhauling legacy systems.
Generative AI responds. Agentic AI acts. Understanding the difference between these two technologies – and knowing when to combine them – is quickly becoming a core business competency.
Escalation rate is one of the most telling metrics in any customer support operation — yet it's often underutilized. When too many conversations get handed off to senior agents for the wrong reasons, the cost shows up in longer resolution times, higher operational overhead, and customers who feel passed around rather than helped. In this post, we break down what escalation rate actually measures, what drives it up, what a healthy benchmark looks like, and the practical steps support leaders can take to bring it down — without sacrificing the quality of customer interactions.
Deliveroo is deploying AI voice agents across its operations — re-engaging lapsed rider applicants, verifying restaurant status in real time, and accelerating partner onboarding. The results across three pilots reveal what intelligent automation looks like when it actually works at scale.
Agentic AI has moved well past the hype stage. Unlike conventional AI tools that respond to single prompts, AI agents autonomously execute multi-step workflows — reasoning through tasks, pulling the data they need, and self-correcting over time. In this post, we break down 10 real-world deployment patterns across industries like healthcare, financial services, retail, and more, and explain why organizations are prioritizing agentic AI to scale operations without scaling headcount.
In regulated industries, an AI that confidently states the wrong policy term isn't a quirky bug — it's a compliance risk. A joint study by SINTEF and boost.ai found that factual inconsistency is the single most trust-destroying error an AI can make, and better prompting won't fix it. The solution is architectural: AI orchestration keeps generative models where they excel, and rule-based systems where accuracy is non-negotiable.
Healthcare contact centres are fielding more calls than ever with fewer staff to answer them—and patients are paying the price in hold times, repeat calls, and missed care. Voice AI, when done right, changes the equation. It won’t replace the clinical judgement at the heart of good care, but it can make sure every patient who picks up the phone gets through, gets understood, and gets to the right place.
From AI-powered drive-thrus to smart kitchen systems, restaurant automation has moved well beyond novelty. Here's what the shift actually looks like in 2026 — and how operators can implement it without losing the human touch.
The era of basic chatbots is over. As consumers grow more comfortable with AI-driven support—particularly younger generations, more than half of whom no longer insist on human interaction—businesses must move beyond scripted answers. Conversational AI-powered virtual agents can authenticate users, execute transactions, and resolve issues within a single chat, transforming customer service from a cost centre into a loyalty engine.
As inflation climbs, labor costs swell, and customer demand grows harder to predict, enterprises are being pushed to fundamentally rethink how they deliver service.
Your AI agent might be smarter than ever — but is it actually delivering? From losing context mid-conversation to exposing sensitive data, these five common conversational AI mistakes silently erode customer trust and drive up support costs. Here's how to spot them and fix them before your competitors do.
A comprehensive guide to conversational artificial intelligence, how it works, and why it matters for modern businesses.
One broken chatbot interaction can quietly cost you a customer. And 70% are ready to leave after just one bad experience. The era of deflection-first automation is over. The brands that win loyalty today are those building Resolution-first AI—systems designed to understand, adapt, and actually resolve.
Many restaurants are losing thousands in revenue from missed or mishandled phone orders. Between staff shortages, busy rush hours, and human error, phone ordering is broken. Discover how AI voice agents solve this problem by answering every call, capturing accurate orders, and boosting profits.