Teaching Voice AI to Behave: Prompting Principles Every Parent Already Knows

Written By:

Rukmani Sivaramakrishnan

Published

Nov 26, 2025

•

Last updated

•

5 min read

Anyone who’s spent time with a five-year-old knows the pattern: tell them what not to do and they'll do just that. Tell them what not to do along with what to do instead, and they might just listen. The same dynamic exists when you’re building and guiding an AI voice agent.

Just like that five-year-old who interprets "don't run in the house" as an invitation to speed-walk at Olympic pace, AI agents take your instructions quite literally. The difference is that — with the right prompting and guardrails — AI will actually listen. The same way a child would. And once you understand how to communicate with it effectively, you can build voice agents that sound natural, stay on task, and deliver consistently high-quality experiences. Of course, designing a dependable AI voice agent takes more than good intentions. It needs clear instructions, concrete examples, and guardrails shaped by thousands of hours building and refining voice agents in production and seeing what actually works (or doesn’t). In this article, we’ll share our learnings from the field — the prompting principles that have consistently held up in live customer conversations: how to guide tone, structure interactions, model good behavior, and give your agent the clarity it needs to sound natural, stay on track, and do what you meant all along.

The Golden Rule: Show, Don't Just Tell

Just as with a 5-Year-Old, the smallest ambiguity can send your AI voice agent in an unintended direction, which is why demonstrating your intended behavior is crucial to creating predictable logic and consistent performance. Negative instructions like “don’t be rude” or “don’t interrupt” leave too much room for interpretation, and the agent fills that gap with whatever logic it can find. Instead, it performs best when you describe exactly what good behavior looks like.

Bad instruction: "Don't be rude to customers."

What the AI hears: "Rude? How do we define rude? Should I avoid directness? Or soften every response? Time to improvise!"

Better instruction: "Always greet customers warmly by name. When delivering disappointing news, start with empathy: 'I understand this is frustrating. Here's what I can do to help.'"

Just like with kids, vague directives lead to creative interpretations you didn't intend. The solution is the same in both cases: be specific, be concrete, and show exactly what “good” looks like. When you paint the picture, your AI voice agent can follow it — predictably, consistently, and without improvising its own version of the rules.

Use Examples (Lots of Them)

Five-year-olds don’t learn from abstract rules — they learn by example. "Be gentle with the cat" becomes crystal clear when you show them how to pet it softly. AI voice agents follow the same pattern: the more concrete examples you provide, the more reliably they generalize the behavior you want.

High-level instructions like “handle objections professionally” sound clear to you, but to an AI voice agent they’re wide open to interpretation. Instead, give the agent actual examples of the tone, structure, and language you expect.

Instead of saying: "Handle objections professionally," give your agent an example like:

Customer: "This is too expensive."

Agent: "I understand budget is important. Many of our customers felt the same way initially. What they found is that the time saved pays for itself within the first month. Would you like to see a breakdown of the ROI?"

Examples work because they do two jobs at once:

They anchor the behavior in real conversational context.
They teach the nuance — empathy, pacing, tone, transitions — that’s hard to capture in pure instructions.

‍

Just like demonstrating the right way to pet the cat, examples show your agent how to act, not just what to avoid. The more specific and varied scenarios you provide, the better your agent will generalize to similar situations.

The Power of Positive Framing

Tell a five-year-old, “Don’t touch that,” and you’ll watch their hand move toward it like it’s magnetized. AI voice agents aren’t much different. When you frame instructions around the behavior you don’t want, the agent still anchors on the very concept you were trying to avoid — hold times, interruptions, jargon — and may accidentally reproduce it.

Negative rules create ambiguity. Positive framing creates clarity.

Here's what happens with negative instructions like "Don't put customers on hold without asking", "Don't interrupt customers", and "Don't use jargon".

The AI focuses on the concept you mentioned — hold, interrupt, jargon — and might do exactly what you're trying to avoid.

Try positive framing instead:

"Always ask permission before placing someone on hold: 'May I put you on a brief hold while I look that up?'", "Let customers finish their complete thought before responding", "Use simple, conversational language like you're talking to a friend."

Positive framing works because it gives the agent a specific, repeatable action to follow. Just like asking a child to “walk, please” instead of “don’t run,” you’re directing the behavior you want, not the problem you’re trying to eliminate.

Give Them a Character, Not Just Rules

Remember playing pretend as a kid? Tell a five-year-old, "You're the doctor, and I'm the patient," and suddenly everything clicks. AI voice agents respond to persona cues the same way. This framework helps the AI make thousands of micro-decisions about tone, word choice, and approach without you having to specify every single scenario.

Rules alone can make your agent sound robotic or inconsistent. A persona gives it context, and context shapes instincts.

Rules-only approach:
“Be friendly. Stay professional. Explain things clearly.”

How the agent interprets it:
Friendly how? Professional to what degree? How simple is “simple”? Time to guess.

Persona-driven approach:

"You're a knowledgeable, friendly insurance advisor who genuinely cares about helping people protect what matters most. You're patient with questions, never pushy, and you explain complex topics using everyday analogies. Think of yourself as a trusted neighbor who happens to know a lot about insurance."

A persona anchors tone, intent, and conversational style. It helps the AI decide how to break bad news, how much detail to offer, when to ask clarifying questions, and how to maintain rapport — all without relying on rigid scripts. Just like a child slipping into character, the agent instantly has a mental model to operate from. And that model becomes the foundation for consistent, natural-sounding interactions across thousands of calls.

Structure Creates Freedom

Paradoxically, kids thrive with structure. "First we clean up toys, then we have snack time" works better than "go clean your room... at some point." AI voice agents work the same way. Without structure, conversations wander or collapse into awkward transitions. With it, the agent suddenly knows where it is in the flow, what comes next, and how to move the interaction forward.

For AI voice agents, create clear conversational flows:

Opening: Greeting + Identify reason for call
Discovery: Ask 2-3 qualifying questions
Solution: Present relevant option(s)
Handling concerns: Address questions with empathy
Next steps: Clear call-to-action

Within this structure, your agent can be flexible and sound natural. Without it, conversations meander or feel unnatural. Just like a routine helps a kid stay grounded, structure gives your voice agent room to be conversational — without losing the plot.

Teach Them When to Ask for Help

A wise five-year-old knows when to get a grown-up. Your AI agent needs the same wisdom.Even the best-designed agent shouldn’t power through every scenario — it should recognize when it’s out of bounds and escalate gracefully.

Define clear, simple escalation triggers like:

Repeated frustration: "If a customer uses angry language more than twice, offer to connect them with your supervisor"
Out-of-scope topics: "If you're asked about pricing outside our standard packages, say 'That's a great question. Let me connect you with someone who can create a custom quote for your specific needs.'"
Missing context: "If you don't have information after checking your knowledge base, admit it honestly and offer an alternative"

‍

Knowing limitations is a superpower, not a weakness. It’s what makes your agent dependable, safe, and trustworthy in production.

Common Mistakes (That We've All Made)

Even with the best intentions, it’s easy to give an AI voice agent instructions that sound clear to you but land very differently for the LLM. These are the pitfalls we see most often — and the fixes that consistently help.

These mistakes happen to everyone, but recognizing them early makes your agent more consistent and far easier to manage in production.

The Power of Conversational Guardrails

Here's what makes voice agents at Regal AI particularly challenging and interesting: they're having real-time conversations. Unlike with chatbots where customers can think and reread through responses, voice is immediate and linear.

That’s why conversational behaviors matter. A few simple patterns go a long way toward keeping interactions natural and grounded:

Acknowledgment: "Got it," "That makes sense," "I hear you"
Clarification: "Just to make sure I understand, you're looking for..."
Transition phrases: "Based on what you've told me," "Here's what I'd suggest"

‍

These behaviors aren’t fluff — they’re the signposts that make voice interactions feel human and keep the conversation moving in the right direction. Think of them as the social skills you teach a kid so they don’t accidentally derail a playdate. Add the right guardrails, and the agent sounds thoughtful rather than mechanical.

The AI Advantage

A five-year-old will never be more patient than a well-rested adult. But an AI agent? It's always patient, never has a bad day, never gets frustrated, and treats the 500th caller with the same enthusiasm as the first.

This consistency is where AI quietly outperforms even top human agents. It delivers empathy on command, follows process perfectly, and keeps its cool no matter how tough the conversation gets. When you prompt effectively, you're not just avoiding mistakes – you're creating consistently delightful experiences that can scale infinitely.

From Kindergarten Logic to Enterprise Performance

Prompting an AI voice agent requires the same skills as explaining the world to a curious, literal-minded five-year-old: patience, specificity, examples, positive framing, and lots of iteration.

But here's the best part: once you nail those prompts, your AI agent will consistently deliver those instructions at scale, following best practices in every interaction. Your five-year-old will eventually grow up and stop listening. Your AI agent just gets better at listening the more you teach it.

So embrace your inner kindergarten teacher. Be specific. Use examples. Show them what good looks like. Ready to put these best practices to use? At Regal, we pair you with a Forward Deployed Engineer to expertly guide you through every step of the process, from designing prompts to deploying your agent and refining with real conversations. Schedule a demo with us to get started.

‍

Frequently Asked Questions

Founded in 2020, Regal is an enterprise voice AI agent platform for contact centers. Regal helps businesses build, deploy, and manage autonomous AI agents across sales, support, and operations teams.

Latest Blog Posts

SEPTEMBER 2023 RELEASES

September 2023 Releases

SEPTEMBER 2023 RELEASES

September 2023 Releases

SEPTEMBER 2023 RELEASES

September 2023 Releases

March 2026 Releases

In March, we made it faster than ever to build, launch, and continuously improve AI agents with Copilot, Regal's AI agent for building AI agents. Together, these updates lessen the time needed to launch and maintain agents, so you can focus on understanding your customers, unlocking new use cases, and driving faster business outcomes.

Contact Center Automation Trends 2025 | AI, Voice & Omnichannel Guide

The 8 contact center automation trends defining 2025—from AI voice agents to event-driven journeys. Data from 350M+ calls on Regal's platform. Read the report.

How to Improve Agent Productivity with AI | Regal

7 proven ways AI agents improve contact center productivity. Regal customers report faster handle times, higher FCR, and 40% cost reduction. See how it works.

Announcing Copilot: Continuous Agent Improvement

Regal is announcing Copilot, our agent for building AI agents. Create, test, deploy, monitor, and improve your Regal AI agents faster than ever by managing an agent instead of going through each step yourself.

How American Standard Helps Homeowners Start Remodeling Projects with Ease

American Standard’s AI agents streamlined the home remodeling journey by responding instantly to every homeowner inquiry, capturing demand in real time, and creating a faster, more seamless path from interest to installation.

Why “Sounding Nice” Fails: Engineering Empathy in AI Agents

How to build an AI agent that balances empathy with control, and drives real results in production.

Support Customers Directly on Your Website with Chat AI

Now, you can embed Chat AI directly into your site, providing customers with dynamic, contextual responses that move them toward a decision.

From Bottleneck to Breakthrough: Creating Delightful Experiences with Voice AI Agents

At the AI Summit New York, Regal Director of Product & Product Marketing, Yael Goldstein shared how enterprise organizations are moving beyond theory to deploy Voice AI agents that transform customer experiences.

Introducing WebRTC Voice: Click to Talk, Right From Your Website

WebRTC Voice enables real-time voice conversations: instead of dialing phone numbers or switching applications, customers can enable voice conversations directly in your website widget.

How Kin Insurance & a360inc Achieved Faster Outreach and Better Customer Experiences with AI Agents

In this fireside chat, Regal Co-Founder & CEO Alex Levin sits down with Kin Insurance’s Austin Ewell and a360inc’s Henry Davidson to share how their organizations are using AI agents to transform outreach, customer experience, and operational efficiency. They discuss real-world deployments—from qualification and human agent handoffs to complex negotiation workflows—break down the results, and offer practical guidance for leaders adopting AI agents at scale.

How a360inc automated notary outreach and negotiation

See how a360inc automated notary outreach and negotiation with Regal’s AI Agent, cutting costs by 80%, saving money on bid collection, and boosting coverage with unlimited outreach, structured negotiations, and reliable data capture.

Single vs Multi-State: How to Pick the Right AI Agent for the Job

Learn about the difference between single-state and multi-state AI agents, and how each impacts speed, scale, and reliability. Discover when simplicity is enough and when enterprise workflows demand structured orchestration, so you can choose the right design for your use case.

The Evolution of AI Agents: From Chatbots to Multi-State

Trace the evolution of AI agents, from scripted chatbots to IVR systems to single-state GenAI, and now to multi-state agents that unlock true end-to-end orchestration at scale.

From Pilot to Scale: How to Test AI Voice Agents in Regal

See how to test AI Voice Agents in Regal with simulation-based suites, manual checks, and end-to-end validations. Ensure logic, voice, and telephony all perform reliably so every deployment scales with confidence.

Automatically Evaluate Test Suites with Simulations

Discover how you can use Simulations to evaluate scenario-specific conversational flows that pinpoint AI Agent failures before launch. Speed up regression testing, validate prompts, knowledge bases, and custom actions at scale, and deploy reliable AI Agents with confidence.

Apple iOS 26 Caller Screening: An Enterprise Guide

Apple’s iOS 26 introduces new call-screening controls that will reshape outbound performance. This guide explains what’s changing, how adoption may impact enterprise contact centers, and the proactive steps leaders can take now to protect answer rates and customer trust.

RAG Hygiene: How to Scale and Maintain AI Agent Knowledge

Learn how to maintain a clean, reliable RAG system for AI Agents. Discover best practices for structuring source docs, chunking content, titling for retrieval, avoiding redundancy, and keeping knowledge bases fresh to ensure accurate, scalable performance.

Introducing Custom AI Analysis: Extract Data from Every Conversation

Regal’s Custom AI Analysis transforms post-call transcripts into actionable, structured data points, so you can personalize follow-ups, analyze trends in-aggregate, and scale improvements across every interaction.

Inside Regal’s H2 Roadmap Reveal: The Future of AI Agents

If you missed our H2 Roadmap Reveal, here are the biggest takeaways, including real customer wins and a preview of what’s coming in the second half of the year.

Context Engineering for AI Agents: When to Use RAG vs. Prompt

Master context engineering by choosing the right method for AI agent knowledge—prompts for behavioral control, RAG for long-form, unstructured data, and custom actions for precise lookups.

Building AI Voice Agent-Ready APIs: Lessons from the Front Lines

Lessons from the frontlines on how to build AI Voice Agent-ready APIs.

Anatomy of an AI Voice: What Makes It Sound Human

This article outlines the core characteristics that influence how voice AI is perceived on live calls. From mechanical traits like speed and volume, to more emotional and conversational behaviors, we’re going to look at what those characteristics mean, why they matter, and how they impact your bottom line.

Voice AI Customization 101: Settings That Work Best

Learn how to configure your AI Voice Agent for real performance. This guide covers the most important voice settings in Regal, what ranges top brands use in production, and how adjusting speed, tone, and responsiveness impact cost, containment, and overall customer experience.

Introducing Progressive Dial for AI Voice Agents

Discover how you can now staff Regal’s progressive dialer with AI Voice Agents—to run high-volume outbound campaigns with smarter pacing, instant call connection, and voicemail detection—boosting efficiency and eliminating abandoned calls.

How to Use SIP Headers in Regal to Route and Personalize AI Voice Calls

Learn how to use SIP headers with Regal AI Voice Agents to personalize routing, enrich transfers, and integrate with your existing telephony stack—no backend changes required.

Build AI Agents Without Code, Directly From Regal’s Platform

Discover how Regal's AI Agent Builder lets enterprises create and deploy custom Voice AI Agents without code, integrate with existing systems, and scale workflows to deliver human-like customer interactions at scale.

How AI Appointment Setter Technology is Redefining CX at Scale

Discover how AI appointment setter technology is being adopted by enterprises in industries like healthcare, insurance, and education as a strategic advantage for scaling operations and improving customer satisfaction.

How to Best Combine Voice and SMS AI for Omnichannel Support

The best customer experiences are seamlessly omnichannel. In this guide, see how Regal enables seamless, AI powered omnichannel support across voice and SMS.

Staying Compliant with the New TCPA Rules: A Guide for Enterprise Contact Centers

New TCPA updates require interpreting opt-out intent and suppressing outreach across all channels. See how you can use Regal's AI Decision Node to stay compliant.

Debunking AI Agent Fears: "Will humans get frustrated talking to AI?”

Learn how to design AI phone agents that prevent frustration, earn trust, and actually help customers—by getting the voice, logic, and data right from the start.

Debunking AI Agent Fears: "Will the AI lack empathy?"

With the right design and controls, AI agents can be built to deliver empathetic, human-like interactions for all of your routine contact center interactions.

Debunking AI Agent Fears: “What if the AI crashes mid-conversation?”

You're not crazy for worrying about AI crashing out of the blue. Here, see why you shouldn't concern yourself over that happening.

AI Agents vs. Answering Services: 13 Essential Questions Answered by Contact Center Experts

Discover how AI Agents vs. Answering Services stack up and why modern businesses are replacing outdated systems with emotionally intelligent, revenue-driving AI voice agents.

What is the true cost of AI Voice Agents?

Wondering about the true cost of AI Agents? Discover how Regal’s AI Agents compare to human labor and why the cost of implementing AI Agents delivers scalable, predictable ROI.

What Makes Regal AI Agents So Good?

See why leading companies trust Regal’s AI Agents for better conversations, real outcomes, and HIPAA-compliant customer experiences.

Introducing the AI Decision Node: Smarter AI Workflow Automation for Contact Routing

Introducing Regal's AI Decision Node—a new way to auto-route contacts in journeys based on the context of each customer interaction.

Debunking AI Agent Fears: "What if my AI Agent takes too long to respond?"

Worrying that an AI agent will take too long to respond is not a valid reason not to adopt AI. Here, we'll show you why.

AI Collections: How Top Lenders Automate Growth in 2025

Automate follow-ups, reduce delinquencies, and boost ROI with AI Collections. Discover how Regal’s AI Agents are changing the future of loan servicing.

AI-Based Workflow Automation: How to Personalize and Scale Customer Journeys

Discover how AI-based workflow automation and customer journey automation can streamline operations, personalize customer interactions, and boost revenue.

How to Deliver a Unified Customer Experience with Regal in 2025

The more lines of communication you open with your customers, the more likely you’re starting the conversation on the right foot. Regal helps you unlock a more unified customer experience in a matter of days. See how.

Maximize Agent Throughput with Regal's Predictive Dialer

It’s critical for call center managers to understand how their power dialers work and to measure if they’re performing as intended. With Regal’s new Predictive Dialer, You can do just that, and much more.

8 AI Agent Use Cases for Home Service Companies

Explore 8 powerful AI Agent use cases for home service companies that drive speed, increase capacity, and create predictable, high-converting customer workflows.

8 Healthcare AI Agent Use Cases for Better Patient Outcomes

Discover how healthcare AI Agents are transforming patient engagement from intake to billing. See 8 powerful use cases driving higher adherence, faster scheduling, and better outcomes.

The Benefits of AI in Insurance: How AI Agents Are Reshaping the Industry

Discover the game-changing benefits of AI in insurance. Learn how AI Agents improve customer experience, reduce costs, and boost efficiency in claims processing, underwriting, and customer interactions.

6 Strategies to Optimize Phone Number Inventory Management

Discover effective strategies for phone number inventory management and learn how to maintain a stellar phone number reputation. Explore best practices, expert insights, and innovative solutions to optimize your communication operations.

Your Policyholders Hate You... File That Under "Totally Preventable Losses"

Not everyone gets excited about buying insurance. Learn how AI Agents improve the experience for policyholders, bring down your cost to serve, improve your response times, and help you get rid of the hold music for good.

AI Agents for Education: 8 Use Cases for More Meaningful Student Outcomes

AI Agents for Education are transforming student engagement—boosting enrollment, improving retention, and making support more human. Discover 8 game-changing use cases that free up your staff while delivering better student outcomes.

Click Your Heels, Ditch the Guesswork: Start Winning with A/B Testing

Many contact center leaders still wander through customer journeys as if they're in the Land of Oz. Dive in to see why and how A/B testing is your shortcut to unlocking provably, repeatably, and scalably better CX.

Regal Named One of Forbes America’s Best Startup Employers 2025!

Regal is officially one of Forbes America’s Best Startup Employers 2025, ranking #164 out of 500. This recognition is a testament to our incredible team, our innovative work culture, and our unwavering commitment to advancing AI technology.

AI in Education: The Future of Student Engagement & Enrollment

AI in education is helping to streamline admissions, automate student engagement, and enhance higher ed outreach. Discover key education technology trends to boost enrollment and learn why automated student engagement tools are the future.

Measuring AI Agent Success: Key KPIs for AI Agents in Your Contact Center

Discover key KPIs for measuring AI agent success in your contact center. Learn how to track performance, improve efficiency, and optimize AI-driven conversations for better business outcomes.

How to Build AI Agents for Beginners: A Step-by-Step Guide

Learn how to build AI agents for beginners with this step-by-step guide. Discover key skills, tools, and no-code AI agent builders to get started today!

How are Generative AI Voice Agents Different from AI Voice Assistants?

When it comes to comparing AI Agents vs. AI Assistants, Siri & Alexa handle simple tasks, but Gen AI Voice Agents—like Regal’s AI Phone Agent—drive real business impact with human-like conversations, automation, and seamless integration.

Regal’s Q1 Product Roadmap: Webinar Highlights & Recap

Regal’s Q1 2025 product roadmap brings AI Agents, Intelligent Orchestration, and Enterprise Functionality to the contact center. Discover what’s coming next!

AI Agent Assist: Real-Time Insights for Smarter CX

Discover how AI Agent Assist transforms CX by boosting agent efficiency and customer satisfaction. Get real-time insights, automate tedious tasks, and empower your team to drive revenue.

A No-BS Guide to Rescuing Your Contact Center with AI

Discover how AI in customer experience can revolutionize your contact center. Learn to replace legacy tools, scale personalized outreach, and drive better outcomes with modern CX platforms like Regal.ai.

Introducing Regal Custom Objects

Build your own data model and keep your agents in one tool with Regal Custom Objects.

8 Ways AI Sales Tools Assist in the Success of Call Centers

Discover how AI sales tools enhance call center performance, improve efficiency, and increase customer satisfaction with these 10 powerful strategies.

10 Proactive Outreach Strategies to Build Loyalty with Personalization

In order to build loyalty, it’s essential to create proactive outreach strategies that demonstrate your awareness of your customers' challenges and show that you’re taking action before they even need to ask for help.

7 Best Use Cases for AI Voice Agents in Your Contact Center

As AI technology continues to evolve, the use cases for AI Voice Agents in contact centers will only increase. By answering these six key questions, you can identify where AI agents fit best today in your contact center and plan for future integrations.

5 Outbound Call Center Strategies to Connect with Customers

Learn five game-changing outbound call center strategies that’ll help you reach the right people, at the right time, with the right message.

7 Tips for Building AI Agents That Perform

Explore tips for building AI Agents that perform for your business - Spoiler: It's a lot like coaching human agents.

AI Emotional Intelligence: How AI Agents Keep Calm

Learn more about how AI emotional intelligence allows artificially intelligent voice agents to create emotion-regulated interactions using empathy, while keeping their cool even in heated situations, ensuring calls stay on track and productive.

Introducing Custom Events in Agent Desktop Activity Feed

Improve agent context with a synthesized view of the buyer's journey -- leading to more personalized conversations.

AI for Contact Centers: Insights from Industry Leading CEOs

Explore how AI for contact centers is transforming businesses and how leveraging AI can enhance customer interactions and improve retention.

Power vs. Progressive vs. Predictive Dialers

There is no one "best" auto dialer. There's just the right auto dialer for your campaign goals. We compare the capabilities of each and outline a framework for how you can make the right choice.

Outbound Abandon Rate: Why It Matters & 5 Strategies Master It

Explore 5 actionable strategies to keep your outbound abandon rate low, optimize your dialer efficiency, and maintain customer trust.

What Are the Best Use Cases for Branded Caller ID

Branded Caller ID is a great tool to increase call answer rates. Find out the best use cases for Branded Caller ID, and learn when it's not the right solution.

Regal Journey Builder Now Available for 8x8 Customers

Regal and 8x8 launch a joint offering, through the 8x8 Technology Partner Ecosystem, making Regal the only Journey Builder provider for 8x8’s outbound contact center customers.

4 Essential SMS Campaigns for Home Insurance Companies

The fastest growing Home Insurance brands are using SMS in intelligent ways to drive higher customer engagement and more revenue. Get started with these 4 essential campaigns.

Introducing REGAL AI

Improve agent efficiency and win more customers with REGAL AI.

Introducing Regal Live

Monitor intraday call center metrics in real-time to adjust staffing, campaigns or coaching on the spot.

Introducing Regal IVR

Regal’s IVR leverages unified customer profiles to personalize inbound caller experience – delivering better customer experiences and business outcomes.

5 Essential SMS Campaigns for Home Services Companies

Use these 5 essential SMS campaigns for home services drive higher customer engagement and more revenue for your business.

The Next Step Forward in AI will come from Consumer Businesses

Consumer businesses are implementing AI-enabled customer experiences without any change in behavior on the part of consumers, which is leading AI to become common with more speed than past transitions like the internet and the smartphone. And it means that the next step in AI will not come from the LLM providers. The next big step forward in AI rests in the hands of consumer businesses.

Beyond CCaaS: From Customer Data Dips to Customer Data-Driven

Modernizing your Contact Center to drive personalization and more revenue requires a new tech stack you won't get with legacy CCaaS.

Innovating on Patient Care | B2C Sales Podcast Episode 7

Explore Eric Hauser's remarkable career journey from GovTech to healthcare disruption at Cadence, highlighting the transformative power of innovation, collaboration, with a special focus on the pivotal role of Regal in driving patient engagement and outcomes.

The Future of Conversation AI | B2C Sales Podcast Episode 6

Discover the transformative power of AI in conversations and how Regal's cutting-edge technology is reshaping call analysis and optimization for enhanced customer experiences with Balto's Marc Bernstein on our B2C Sales Podcast.

How SoFi, Perry Health & Allstate Personalize CX at Scale

Discover how Regal.io's AI-powered personalized outreach solutions are revolutionizing outbound sales and customer experience across industries like healthcare, finance, and insurance in our latest eBook, "Modernizing Outbound Contact Centers: How to Treat Millions of Customers like One in a Million."

Introducing Collaboration-Native Features to CCaaS

Combining collaboration functionality into CCaaS workflow tools invites more cross-functional users from a company to participate in designing the end-customer experience, leading to better omni-channel orchestration and customer outcomes. Learn more about Regal's collaboration features.

Introducing QA Scorecards: Uplevel Agent Performance

Uplevel agent performance with Regal's QA Scorecards. With QA Scorecards, managers can ensure that all interactions meet the criteria and standards of excellence established by your company.

How Regal.io is Turning the $40B CX Industry on Its Head

Jon Heaps, former VP, Channel at Observe.ai, Talkdesk, and inContact interviews Alex Levin, Co-Founder & CEO of Regal.io, about the history of the contact center industry and some of the key challenges teams making outbound calls face as customers demand more online experiences.

New SMS & Branded Caller ID Rules Are Enhancing Customer Experience

Are you using Branded Caller ID for outbound calls or SMS? New SMS and Branded Caller ID regulations rolled out in Q2 2023 that you MUST KNOW ABOUT. The new regulations require that every company register their SMS campaigns and Branded Caller ID campaigns before being allowed to send texts or brand calls.

4 Essential SMS Campaigns for Life Insurance Companies

The fastest growing insurance brands are using SMS campaigns in intelligent ways to drive higher customer engagement and more revenue. You can too with these 4 essential SMS campaigns.

Need to Boost Call Center Productivity? Switch to a Power Dialer

Discover how a power dialer can revolutionize outbound calling and enhance sales team productivity. Schedule a consultation with our experts to explore Regal.io's power dialer.

The Financial Impact of Working with Regal.io: 547% ROI

Discover how working with Regal.io led to a 547% ROI for businesses. Learn more about the financial impact and success stories in our comprehensive case study.

Announcement: Regal Conversation Intelligence

Regal’s Conversation Intelligence drives higher conversion rates for B2C sales teams. We use both the traditional QA/coaching tools, and brand new conversational triggers that allow you to update customer profiles and send automated follow up messages based on what is said in a conversation.

Announcement: Regal SMS Suite

Regal’s SMS Suite allows brands to actually drive revenue from SMS. Drive cross-channel engagement using our comprehensive Triggered & Scheduled SMS Journeys (aka SMS Marketing), 1:1 SMS Conversations (aka 2-Way SMS), and AI SMS Bot.

Announcement: Regal Segment Builder

Regal’s powerful, no-code Segment Builder enables any business user to segment, target, suppress, and send blasts of cross-channel communications (SMS, calls or webhooks) to their customers – all based on a real-time unified customer profile.

Friends don’t let friends buy CCaaS

Learn when event-driven sales systems like Regal will disrupt the $40B Contact Center Software and CCaaS industry, by improving customer experience and increasing revenue.

Meet Regal Call Branding™: Branded Caller ID for 400M+ US Devices

We are excited to announce Regal Call Branding™ including Branded Caller ID. Available on all 400M wireless devices in the US (as well as most of Canada and the UK), Regal Call Branding™ puts you in control of what people see when you call their cell phone – including showing your brand and/or logo.

Q&A with Perry Health’s Scott Chesrown

Get behind-the-scenes insights about Perry Health’s 23% revenue increase with Regal.io. Perry Health’s Scott Chesrown sat down with Regal.io and discussed how they implemented outbound sales technology, integrated new capabilities into their process, and built on their early success.

Drive More Contact Center Revenue With These 6 Holiday Tips

It’s the holiday season and you’d like to hit your December revenue goals. Outbound B2C sales during the holidays can be a major performance driver – if you're prepared and you have the right tools in place. Use these seven tips to get your outbound B2C sales in shape for holiday success.

Regal.io Raises $38.5M in Series A Funding

Today we are excited to announce that based on the success our customers are seeing using Regal.io, we have raised $38.5 million in Series A funding led by Emergence Capital to continue to invest in our teams and products.

Announcing our Integration with mParticle

Our integration with mParticle enables you to create a unified customer profile and connect other first party customer data.

What is a Journey Builder?: A Complete Guide

Say goodbye to batch processing, complicated SQL queries or custom engineering to decide who to call. Journey builders help B2C create more timely, relevant and personalized outreach to customers.

Goodbye Regal Voice, Hello Regal.io

Friends and supporters, We are excited to announce our updated branding and website. It better captures what we stand for.

Announcing our Integration with Twilio Segment

We are excited to announce our integration with Twilio Segment, allowing you to seamlessly connect your first-party customer data with Regal.io and 200+ other integrated tools.

Milestone: $1 Billion Revenue Driven for Our Customers

We are thrilled to announce that Regal.io has driven over 20M conversations between our customers and their end users, leading to $1 billion in revenue driven to date.

The RAG Playbook: Structuring Scalable Knowledge Bases for Reliable AI Agents

Learn how to structure a knowledge base that keeps AI Agents accurate and on-script. Discover why human-style KBs fail, and apply best practices like single-topic chunking, concrete instructions, and explicit outcomes to reduce hallucinations and scale reliable RAG performance.

Treat your customers like royalty

Ready to see Regal in action?
Book a personalized demo.

Thank you! Click here if you are not redirected.

Oops! Something went wrong while submitting the form.