2025 Product Recap: Building the Voice AI Agent Platform for Enterprise

Written by:

Jan 6, 2026

•

8 min read

In 2025, we built the platform and tooling that transformed Voice AI agents from novelty trials into enterprise-ready systems – capable of operating within real customer interactions, enterprise constraints, and business-critical workflows. This shift was not simply about adding “AI features”, but about rethinking how customer conversations are designed, operated, and improved when AI agents are first-class participants. That meant moving beyond scripts and automation toward agents that can reason, act, and adapt within complex workflows and guardrails, while heightening the bar for personalized customer experiences.

The platform now includes tooling for the full lifecycle of AI agents, from development to continuous improvement. Across industries like healthcare, insurance, and home services, customers are using these capabilities to scale lead qualification, ensure every inbound call is handled, and automate high-impact workflows that previously required human capacity. In this blog post, we cover the most important product releases of 2025, focusing on the features that became foundational to how AI agents are built, tested, deployed, monitored, and improved.

Design Complex Conversational Flows with the AI Agent Builder

This year, we launched an AI Agent Builder for building and customizing voice, SMS, and chat agents unique to your brand and use cases. The builder gives teams direct control over how AI agents are created, structured, and connected into their customer workflows, without relying on custom code or fragmented tooling.

Key capabilities include:

A self-serve builder for designing AI agents across voice, SMS, and chat without code
Multi-state agent architecture to support complex, branching conversational flows with clear structure
Native retrieval-augmented generation through Knowledge Bases to ground agent responses in approved content
Built-in scheduling, voicemail drop, and custom actions integrated with CRMs and external systems
Native SIP, Twilio, and PSTN transfers to enable seamless AI-to-human handoffs with full context
Expanded LLM and voice support to optimize agents for quality, latency, and cost

‍

By centralizing prompts, customer-level personalization, knowledge retrieval, and real-time actions, the builder enables AI agents to deliver structured, personalized experiences that maintain continuity across multi-step conversations. Agent behavior can be defined with clear structure and live context, then extended into downstream integrated CRM or external systems, supporting critical workflows like lead qualification, scheduling, and inbound handling as volume and complexity scale.

For advanced use cases, the Multi-State Agent Builder provides explicit structure and consistency across multi-step conversational flows, making complex conditional paths easier to test, maintain, and update over time. A drag-and-drop interface lets you define states, transitions, and actions visually, while preserving shared global context so agents can reason coherently across the entire conversation without duplicating logic or prompts.

As our customers pushed the bounds of what AI agents could do, from price negotiation to roadside assistance, the builder evolved to support greater flexibility and control. We introduced multi-LLM support across OpenAI, Claude, and Gemini so agents can be optimized for reasoning depth, latency, or cost, and partnered with leading voice providers ElevenLabs, Cartesia, and Rime to deliver ultra-realistic, low-latency voices adaptable to your brand identity and customer profile.

Experience and Refine AI Agents as You Build

As you build and update your agent’s prompt and settings, the fastest way to assess and improve quality is to experience the agent as a customer would. Test Logic was designed to support this build-time workflow, giving you a direct way to test agents side by side as you adjust prompts, logic, and settings in the Builder.

Through live test chat and voice testing, you can validate the qualitative aspects of the experience that require human judgment—such as tone, pacing, pronunciation, and voice quality—as well as agent speech, action invocations, and dispositioning. This allows you to iterate quickly while maintaining control over how agents sound and behave, ensuring changes translate to the intended customer experience. Test Logic compliments automated testing by focusing on experiential quality early in the build process, helping you catch issues before they propagate into broader testing and production workflows.

Automate AI Agent Validation with Simulations

As AI agents evolve through frequent prompt updates, logic changes, and knowledge base revisions, validating behavior before deployment becomes a continuous requirement rather than a one-time checkpoint. In 2025, we introduced Simulations to give teams a scalable way to test AI agents end to end before changes reach production, without relying on manual review or bespoke test scripts.

With this testing suite, Regal automatically simulates realistic end-to-end conversations between AI-generated contacts and your AI agent based on test cases you define. Tests are reusable and can be rerun instantly as prompts, settings, or Knowledge Bases change, enabling continuous validation as agents evolve, while a built-in test generator can automatically create an initial set of scenarios to reduce setup time and ensure meaningful coverage from day one. Each simulated conversation is evaluated against defined success criteria, producing clear pass or fail results with AI-generated explanations that pinpoint the root cause of failures, from logic gaps to incomplete context or failed data extraction.

Deploy Agentic Workflows With AI-Aware Orchestration

Deploying agentic workflows extends beyond the AI agent itself to how conversations are routed, data is propagated, and calls are orchestrated at scale. This year, we expanded orchestration across the platform so AI agents can drive progressive dialer campaigns, connect directly to calendaring systems, trigger real-time follow-ups based on structured data, and manage outbound pacing.

The AI Decision Node introduced a flexible way to route and control workflows using AI-derived signals rather than rigid rules. You can evaluate message content, sentiment, language, intent, or any field from the triggering event or contact profile, then dynamically route customers based on that analysis. Whether flagging frustrated callers for human follow-up, routing Spanish speakers to bilingual agents, or prioritizing high-intent leads, the AI Decision Node allows workflows to adapt in real time as conversations unfold. Prompts can be refined with live data, making decisioning more precise as agents learn from production interactions.

In many production workflows, AI agents handle the initial interaction but must transfer to licensed or specialized human teams to complete an action, such as closing a sale, updating a policy, or resolving a regulated request. Transfer-Aware Dialing was designed for these scenarios, ensuring AI-driven outreach can scale without overwhelming downstream human capacity. Regal’s dialer continuously accounts for human transfer availability, pacing outbound volume to match real-time staffing. This reduces the risk of abandoned transfers while preserving the efficiency gains of automation, allowing AI and human agents to operate as a coordinated system as call volume increases.

Gain Deep Visibility Into AI Agent Performance

As AI agents handle more customer interactions, understanding conversational outcomes, contact sentiment, and behavioral drift becomes essential. This year, we expanded observability across the AI agent lifecycle to surface those signals through real-time metrics and post-call LLM-driven data extraction.

Custom AI Analysis provides a configurable layer for extracting structured data from AI agent conversations. You can define the specific signals you want to capture such as call reason, objection type, qualification outcomes, or resolution status, and select the LLM used to perform that analysis to maximize accuracy or cost. These signals are extracted automatically from every transcript and made available for reporting, downstream integrations, and post-call workflows, helping you tie conversational behavior directly to business outcomes and personalize follow-up customer interactions. By consistently extracting conversational data at scale, Custom AI Analysis creates a reliable foundation for measuring performance and driving targeted improvements.

We added real-time agent stats to give immediate visibility into agent productivity, effectiveness, and customer reception. Metrics like Receptiveness to AI provide a live signal of engagement and call containment, making it easier to monitor performance right after go-live, spot issues early, validate changes, and refine agent behavior as AI scales into critical customer-facing workflows.

Together, these capabilities make agent performance observable and actionable, enabling faster diagnosis of underperformance and clearer validation as improvements are rolled out.

Improve AI Agents with Automated Insights

Across the agent lifecycle, we’ve found that improvement after initial deployment is often the longest and most challenging phase. It requires identifying the right issue, determining how to address it, and making the change, and the first step alone can feel like searching for a needle in a haystack. Regal Improve was introduced to shorten that feedback loop, giving you a focused, data-driven way to diagnose issues and make targeted updates without digging through biased samples of transcripts or relying on intuition.

The Conversation Insights dashboard surfaces the patterns that are most prevalent across AI agent interactions. Instead of reviewing calls one by one, you can view aggregated themes such as common objections, unanswered questions, or points of confusion that correlate with poor outcomes. From there, you can drill into representative conversations to understand context and agent behavior at the moment issues occur. This makes it easier to prioritize changes based on impact, whether that means refining prompts, adjusting logic, or improving escalation paths.

The Knowledge Base Coverage dashboard breaks down how well agents are retrieving and using available information during conversations. Coverage insights highlight where agents fail to find relevant answers, rely on fallback responses, or retrieve incomplete content, helping you pinpoint gaps in your Knowledge Base. By connecting retrieval performance directly to real conversations, Knowledge Base Coverage makes it clear which updates will improve accuracy and containment rates, allowing you to strengthen agent performance with minimal effort.

We’re Just Getting Started

2025 was the year AI agents moved from promising experiments to dependable production systems. Across building, testing, orchestration, observability, and improvement, we invested in providing the structure, controls, and feedback loops required to run and manage AI agents at scale. Building on that foundation, 2026 will focus on reducing the manual effort required to get agents live and successful, using AI to accelerate iteration, create delightful customer experiences, and drive business outcomes.

Schedule a demo to learn how AI agents can drive better outcomes across your customer conversations.

Latest Blog Posts

SEPTEMBER 2023 RELEASES

September 2023 Releases

SEPTEMBER 2023 RELEASES

September 2023 Releases

SEPTEMBER 2023 RELEASES

September 2023 Releases

How eHealth Elevated the Medicare Experience with Always-On Voice AI

eHealth’s AI agent streamlined Medicare enrollment and support by scaling up for peak call surges, eliminating after-hours wait times, and delivering exceptional experiences for beneficiaries.

2025 in Review

Celebrate a milestone year as Regal customers scaled AI Agents to 350M calls in 2025, and get a preview of Regal's vision for 2026 to help teams build and improve agents faster, with less effort.

Pinpoint Critical Knowledge Base Gaps with Regal Improve

‍Customer conversations are inherently dynamic, and Regal Improve’s Knowledge Base Coverage tracks changes in retrieval performance over time and at scale. This makes it easy to verify that KB updates increase coverage and if your documentation is keeping up with evolving customer requests.

November 2025 Releases

November's releases make it easier to scale your transfer-heavy call flows, with new tools that align dialer pacing to downstream agent capacity and streamline complex handoffs. You’ll also see improved post-call workflow accuracy, with reliable data extraction and disposition outcomes driven by LLM configurability and earlier validation.

How to Make Voice AI Agents Think and Act Like Your Best Human Agents

See how modern AI voice agents can match your best human reps by building five core capabilities into every call: spatial awareness, temporal awareness, sensory perception, proactive retrieval, and real action-taking. This post breaks down what each pillar means in practice and how they turn voice AI from a conversational bot into a fully empowered operator.

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

Building a great AI voice agent isn’t so different from parenting a five-year-old: clarity, examples, and structure make all the difference. This post breaks down proven prompting principles—from positive framing and persona design to conversational guardrails—that help AI agents sound natural, stay on task, and follow directions every time.

Introducing the Multi-State Agent Builder

Introducing Regal’s Multi-State Agent Builder, a purpose-built tool for orchestrating complex, non-linear conversations. Gain full control over prompts, logic, and actions to scale AI agents with accuracy, personalization, and enterprise reliability.

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 Aprende transformed program enrollment for Hispanic students

See how Aprende transformed student enrollment with Regal’s AI Agent—matching human conversion rates, driving 18X more engaged calls, and saving advisors over 100,000 minutes monthly.

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.

AI Agents Make AEP Easy for your Medicare Call Center

See how AI Agents are transforming the Medicare call center by automating AEP, screening, scheduling, and onboarding—with 24/7 support.

October 2025 Releases

October’s releases give you deeper structure and insight across your AI operations—from designing predictable, multi-state conversation flows and delivering seamless human handoffs to uncovering performance insights and strengthening your agents’ knowledge for continuous improvement.

September 2025 Releases

September’s releases give you greater visibility and control across your AI operations—from monitoring agent action invocations, contact receptiveness to AI, and dialing compliance, to experimenting confidently with the latest LLMs and expanded Simulations coverage.

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.

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.

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.

The 6 Testing Capabilities Every Voice AI Platform Should Deliver

Explore the six testing capabilities that ensure voice AI agents deliver consistent, trustworthy customer experiences 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.

The Rise of Voice AI Agents: Real-World Deployments Across the Enterprise

In this AI4 fireside chat, Regal.ai COO Sahil Mehta and TaskUs CCO Jarrod Johnson explore how enterprise organizations are deploying voice AI agents across customer experience, support, and sales. They share real-world deployments, discuss quality and ROI trade-offs, and outline best practices for aligning operations and product teams when adopting AI agents at scale.

Measuring AI Agent Success: An Enterprise Guide

Learn how to measure AI Agent success in Regal with real-time dashboards, KPI reporting, and custom analysis. Get full visibility into performance, customer experience, and business impact—so every deployment drives results.

August 2025 Releases

New features include automated test evaluations, the Regal Improve insights dashboard, PII-safe recording actions, 25 ultra-realistic voice options, bulk Knowledge Base URL upload, and expanded quiet hours compliance—designed to accelerate iteration, improve agent performance, and safeguard customer trust.

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.

Announcing Regal + Rime: Human-Like Voices at Enterprise Scale

Regal is partnering with Rime to deliver ultra-realistic, emotionally nuanced AI voices for enterprise contact centers. Discover new voice options that capture human qualities like pacing, resonance, and subtle expression, and learn how Rime’s technology powers conversations that build trust at scale.

Announcing Regal + ElevenLabs: Dynamic Voices for Every Conversation

Regal and ElevenLabs bring expressive, multilingual AI voices to customer and sales conversations, adapting tone and emotion in real time to boost conversions, trust, and satisfaction at scale.

Introducing Regal Improve: Conversation Insights for Smarter AI Agents

Regal Improve gives enterprises a scalable way to analyze thousands of AI agent calls, uncover conversation patterns, pinpoint knowledge gaps, and improve AI performance and customer outcomes over time.

Regal Improve: How We Turned Transcripts Into Strategic Insights

Learn how Regal turns unstructured AI Agent transcripts into actionable business intelligence. Discover patterns, pinpoint performance gaps, and update prompts or knowledge bases to improve customer experience at scale.

Introducing Simulations: End Manual Bottlenecks in AI Agent Testing

Discover how Regal’s AI Simulations eliminate manual QA bottlenecks for enterprise AI agents. Auto-generate test cases, run bulk end-to-end conversations in seconds, and validate performance at scale before any live calls are made.

Introducing Real-time Agent Stats for Live Performance Monitoring

Introducing five new real-time AI Agent metrics, giving you real-time visibility into transfers, conversation quality, and customer receptiveness to AI.

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.

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.

July 2025 Releases

New features include AI-powered conversation simulations, custom post-call analysis, voicemail configuration options, real-time metrics, and full transcript exports, all designed to improve AI Agent performance and compliance.

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.

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.

Announcing Regal + Cartesia: Expanding Voice Options for Enterprise AI

Regal is partnering with Cartesia to deliver ultra-low latency, high-fidelity AI voices for enterprise contact centers. Explore new voice options, hear them in action, and learn about Cartesia's industry-leading voice AI offerings.

How to Perfect Your Voice AI in Regal

Learn how to tune AI voice agents for sales, compliance, and customer experience. Explore Regal’s voice parameters, like speed, tone, temperature, responsiveness, to optimize conversion, clarity, and trust at scale.

The LLM Matchmaking Guide for Enterprise-Grade AI Agents

This guide outlines the capabilities, trade-offs, and real-world applications of every model currently supported in Regal.

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.

AI Voice 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.

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.

Introducing Knowledge Bases for AI Agents

Regal’s Knowledge Base feature brings Retrieval-Augmented Generation (RAG) to Voice AI Agents, enabling real-time access to proprietary data for smarter, compliant, and brand-aligned conversations at scale

June 2025 Releases

June’s releases give you more control to test, improve, and scale AI agents—while also making life easier for human agent teams. From real-time debugging tools to capacity control and a floating Chrome extension, we’re unlocking faster workflows, better control, and stronger performance across the board.

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.

RAG: The Reason Regal’s AI Agents Are So Smart

Learn how RAG transforms AI Agent performance by retrieving real-time customer and contact data—ensuring every Voice AI Agent response is unique to your business, contextual, and compliant.

Caller ID vs. CNAM vs. Branded Caller ID: What’s the Difference?

Caller ID, CNAM, and Branded Caller ID all help identify an incoming call and, therefore, increase call answer rates. Find out how they differ and how outbound phone sales teams can utilize each to reach prospects and customers effectively.

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 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 to Use SIP to Integrate Regal Voice AI Agents with your Contact Center Software

Learn how SIP integration enables enterprises to connect Regal Voice AI Agents to existing CCaaS platforms, pass call context in real time, and deploy voice AI without infrastructure changes.

May 2025 Releases

May’s releases unlock more conversations with AI Agents through smarter dialing, automatic callback scheduling, and native calendar booking to boost connect rates and accelerate follow-ups.

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.

Debunking AI Agent Fears: "What if my agent says the wrong thing?"

Worried your AI Agent will say the wrong thing? Well, they might. But find out why that's just a natural part of the process, and how to mitigate the risk of it happening.

Measuring Customer Experience: Proven Strategies to Assess and Enhance CX

Learn how you can start measuring customer experience effectively with key metrics, tools, and AI-driven strategies. Discover how to track CX impact, prove ROI, and enhance personalization to drive business growth.

Regal Raises $40M to Bring AI Phone Agents to Enterprise Brands

Regal just raised $40M to accelerate our mission of building the new standard in high-touch customer communication with the rollout of our exceptional AI Phone Agents for contact centers.

The Automated Phone System Revolution: Why 73% of Enterprises Are Getting It Wrong (And How to Get It Right)

Explore how automated phone systems are transforming enterprise communication strategies. Learn how to avoid common pitfalls, optimize customer journeys, and achieve ROI through strategic deployment across industries like healthcare, insurance, and education.

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.

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 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.

April 2025 Releases

Here's our April 2025 product releases, including the early access period for our AI SMS Agents!

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.

How to Choose a Text-to-Speech Provider for AI Voice Agents

Choosing a text-to-speech provider for AI voice agents can make or break your contact center’s customer experience. Discover how to evaluate TTS providers and find the best fit for industries like healthcare, insurance, and more.

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.

What is an AI Voice Agent for CX?

In this article, we’ll answer the question "What is an AI Voice Agent for CX?" and explore the technology behind AI voice agents, their benefits, real-world use cases, and how they are reshaping customer service across industries.

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.

5 Customer Experience Journey Mapping Templates & Examples for 2025

Discover how customer experience journey mapping helps contact center leaders make small tweaks with big impact. Learn dynamic mapping tactics for personalization, optimization, and ROI.

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.

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.

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 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.

5 Must Run A/B Tests for your AI Voice Agent

Maximize your AI Voice Agent’s impact with strategic conversational AI testing. Discover 5 must-run A/B tests to optimize engagement, refine responses, and drive better business outcomes.

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.

February 2025 Releases

Here's our February 2025 product releases, including live progressive dialer performance measurement, support for Outlook signatures, and some new API endpoints for better data access!

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.

January 2025 Releases

Here's our January 2025 (and last December's) product releases, including user profile URLs, deleting unintentional contacts, and early access to our Outlook 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.

20 Questions to Grade Your Personalized Customer Experience

Learn how to create a personalized customer experience using AI and automation. Discover actionable steps to grade your CX, expert insights, and strategies for 2025.

AI Agent Ethics & Disclosure Timing in 2025

Explore the ethics of AI agents and the impact of AI agent disclosure timing on customer trust. Learn best practices for balancing transparency and performance in AI-powered customer interactions.

2025 Contact Center Automation Trends and Tools

Discover the 2025 contact center automation trends and tools to help you grow. Learn how AI-powered tools and best practices can enhance efficiency, customer experience, and cost savings.

Introducing Regal Custom Objects

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

November 2024 Releases

2024 Year In Review

The year Enterprise customers embraced Regal and AI Phone Agents came to contact centers. We look back at major milestones achieved in 2024.

10 Essential Call Center Metrics and KPIs for 2025

Discover the 10 most essential call center metrics and KPIs for 2025. Learn how to measure and optimize your call center's performance with our comprehensive guide.

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.

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.