REGAL

🚀 The future of CX: Voice AI Agents! Meet the Regal Voice AI Agents. They can autonomously handle millions of calls using AI that acts human around the clock. Whether it's 2 AM or 2 PM, it’s all about delivering instant, personalized responses. ⚡ For you: Lower wait times, better CSAT. ⚡ For your customers: Seamless support anytime. 👉 Want to experience it yourself? Demo our AI Phone Agent today: https://lnkd.in/eviTKFmj

🚀 Exciting news! Regal was featured in Built In's roundup of Artificial Intelligence in Business! Our AI voice agents are built for impact, from powering real-time insights with RAG to helping enterprises achieve measurable results at scale. See the full list here: https://lnkd.in/efBum6xc 👉 We’re also growing! Open roles span Customer Success, Marketing, Product, and Sales: https://lnkd.in/gMcUizYH #AI #VoiceAI #AIagents #Hiring

If this is how your queue feels, it’s time for a system built to handle the chaos

One more campaign shouldn’t break your support team — that’s why the right platform matters.

Bad customer support is expensive for everyone. Alex Levin shares how Regal’s custom AI agents cut costs by 50%+, unlock billions in revenue, and deliver the fast, human-like support today’s customers expect.

📣 We’re Hiring a Product Marketing Associate! We’re looking for a detail-obsessed, technically curious product marketer who’s excited about the AI space and ready to move fast. This isn’t a “watch from the sidelines” role — you’ll be hands-on driving Regal.ai’s go-to-market strategy, storytelling, and enablement for our AI voice agent platform. This is a great opportunity to: ✅ Shape how Regal positions and launches products to the market ✅ Create content — from blogs to videos — that establishes Regal as the category leader in voice AI ✅ Translate complex features into clear, compelling value for both technical and non-technical prospects 👉 Apply here: https://lnkd.in/e4-nPSFp #Hiring #ProductMarketing #MarketingJobs #SaaS #JoinUs #RegalAI

We are excited to announce that Regal will be at HLTH Inc. 2025 next month. As leaders in transforming healthcare experiences with AI agents, we’re driving innovation that makes patient and member interactions smarter, faster, and more human. Stop by our booth to: ➡️ Explore how we’re helping the healthcare industry transform with AI agents ➡️ Partake in live demos on how to build an AI Agent ➡️ Take part in fun activations designed to engage Our team Lex Sivakumar, Yael Goldstein, Stephanie Sociedade, Ethan Goldberg, and Eliza Loftus will be on site and ready to connect. If you’ll be at HLTH, come say hi and see firsthand how AI is reshaping patient and member experiences. #HLTH2025 #HealthcareInnovation #AI #VoiceAI #RegalAI

You’ve built. You’ve tested. You’ve launched. But here’s the question: is your AI agent actually working? Unlike human agents, your AI won’t give you a gut check on how the day is going. AI agents communicate performance through data alone. So, how do you know how your AI is performing right now? In aggregate? How is it impacting your KPIs? The three layers of monitoring AI agent performance in Regal include: 1️⃣ Monitoring deployments live with real-time visibility So you don’t run the risk of real-time call degradation going unnoticed. Live stats refresh every 10 seconds—tracking dispositions, task completions, call durations, and transfers across all agents, queues, and campaigns. 2️⃣ Tying AI Agent impact directly to key KPI trends So you don’t deploy updates without understanding downstream impact. Track performance over time in Looker dashboards tailored to your goals (conversion, callback rates, short hangups, sentiment shifts). Validate A/B tests. Compare human vs. AI outcomes. 3️⃣ Uncovering deeper patterns and insights with Custom AI Analysis So you don’t miss high-signal patterns like compliance misses, objection themes, or common drop-off topics. Use Custom AI Analysis to extract structured data from LLM-reviewed transcripts. Combine with Regal Improve’s unsupervised clustering to identify new insight categories automatically. 👇 Full breakdown of how to measure AI Agent success with Regal: https://lnkd.in/eS-WFKcT

What an incredible evening at our CX & AI executive dinner last week! We brought innovation leaders together for a private dinner filled with great food, conversation, and insights on where AI is taking the industry next. Thank you to everyone who joined us. Here’s a quick look back at the evening →

Three things that winners do differently when implementing voice AI, according to Jarrod from TaskUs 👇 1. Align Product and Ops more tightly. “Where we see projects fail is when the teams who actually run customer support or sales are not aligned with product or tech teams. You just get this massive gap in terms of ROI realization.” 2. Treat knowledge as a living system. “Clients [don’t] anticipate up front all the care and feeding that’s going to be necessary to manage these systems over time… It’s not because the technology is flawed or high-maintenance. It’s because policies change, processes change, products change… And people don’t manage their in-house knowledge very well to begin with.” 3. Define ROI upfront, and iterate relentlessly. “Is it revenue growth, is it conversion rate, is it cost reduction at scale? You gotta understand [your ROI] up front and then measure it, document it, and go back, otherwise the business gets impatient.” Shoutout to Sahil and Jarrod for an amazing conversation at Ai4. Recap below. Check out the full discussion to see how you can get voice AI right from the start >> https://lnkd.in/g_qbTTiz