Contact Center Therapy | AI Voice Agents

Dialing into silence

“My team spends most of their day calling people who don't answer. That's a third of their day spent on voicemails. Honestly, it's the one thing that keeps me up at night.”

- Real words from a real customer conversation.

The number that’s not on your dashboard

Your dashboard tracks dials. It doesn’t show what each real conversation costs you. Take what a rep costs you per hour and divide it by how many real conversations they have in that hour.

That’s your true cost per conversation. It’s the number that explains why the budget keeps growing and results don’t.

What you’ve tried

Hired more reps

More salaries, same cost per conversation.

Bought more leads

More leads nobody reaches.

Bought a power dialer

More dials, same number of conversations.

Take people off the dial

An AI agent makes the call, gets through the voicemails and no-answers, and hands your rep someone who’s already on the line. Your team’s time only goes to real conversations. That’s what brings your cost per conversation down.

One thing to watch

Phones now screen unknown callers before they ring. A lot of AI tools treat screeners like voicemail and hang up on people who were about to answer.

96%

Of iPhone and Google screeners caught by Regal’s Voicemail Detection model

43%

Caught by Twilio’s AMD, for comparison

Regal’s model tells a person, a voicemail and a call screener apart in seconds.

See how we built it

Mutual of Omaha Mortgage’s loan officers used to spend their day on a progressive dialer. Now an AI agent makes first contact and hands the borrower off live.

70%+

Of handoffs connect to a licensed loan officer

5,000

Leads a week worked by the AI agent

“Our loan officers spend their time in conversations rather than on a dial list.”

Kevin Griffith, VP, Sales Technology & Intelligent Platforms, Mutual of Omaha Mortgage

Read the full case study

Regal data, 30 days, not independently verified by Mutual of Omaha Mortgage.

Let’s get your team off the dial list

Bring us one list your team is dialing through and we’ll show you what an AI agent does with it.

Paying experts to chase paperwork

“I've got some of my best people spending hours a day on calls that don't even need them. Contact info. Information. Status updates. The same five questions.
I'm thinking, is this really what we're paying them for?”

- Real words from a real customer conversation.

The hours nobody’s counting

Ask your three most experienced people to track one week: every hour spent on reminders, follow-up calls, and missing information. Multiply that by what they cost you per hour.

Senior rates for junior work

And it’s usually the work that makes your best people start looking somewhere else.

What you’ve tried

Hired a junior team to chase

More headcount, more handoffs, same delays.

Automated reminder emails

People ignore them until someone calls.

Told your team it’s part of the job

They believed you, then updated their LinkedIn.

Split the chasing from the expertise

An AI agent makes the follow-up calls, tells people what’s missing, texts them a link to finish, and logs what happened. Your experienced people only step in when something actually needs their judgment. That’s how their hours go back to the work you hired them for.

One thing to watch

Automating the chasing only helps if what the AI learns lands in your systems. If someone still has to listen to calls and retype notes, you’ve just moved the busywork.

Regal AI Agents write updates straight back to your CRM during the call, and every call outcome is captured as structured data automatically, not buried in a transcript. Your team sees what happened without having to go find out.

At a360inc, when a notary didn’t reply to a text, staff had to follow up with manual calls, which drove up costs and ate into limited capacity. Reps couldn’t reach every notary, so some orders went unfilled. Now an AI agent handles the outreach and negotiation, logging every bid in a structured format.

80%

Lower cost per call

$400K

Saved on bid collection

95%

Positive contact sentiment

“Regal’s AI transforms outreach into a true competitive advantage.”

Henry Davidson, EVP of Sales and Business Development, a360inc

Read the full case study

Let’s give your best people their hours back

Show us one week of your senior team’s follow-up work, and we’ll show you what an AI agent would take off their desk.

Not a lead problem

“I don’t have a lead problem. I have a time problem. My closers spend half their day figuring out who’s even worth talking to. By the time they find the good ones, they’re out of day.”

- Real words from a real customer conversation.

Where your closers’ time actually goes

Pull last month’s calls for your closers. Count how many ended as not qualified: wrong fit, wrong timing, can’t afford it. Multiply by your average call length.

Sorting instead of selling

That’s how many hours your most expensive people spent sorting instead of selling. Now imagine those hours going to leads who actually fit, at your normal close rate.

What you’ve tried

Bought better leads

They cost more, and you still have to sort them.

Added lead scoring

A score isn’t a conversation, so closers still call to find out.

Built a qualifying team

Another team to hire and manage, and leads wait between handoffs.

Let AI do the sorting

An AI agent calls every lead right away, asks your qualifying questions, and only transfers the ones who meet your criteria, with their answers already captured. Your closers start every call with someone who fits. That’s how they get their day back.

One thing to watch

AI qualification only works if it’s as good as your best rep. It has to ask the right questions every time, handle real answers instead of forcing people through a form, and keep up when your criteria change.

Regal AI Agents follow your qualification criteria on every call and capture each answer as structured data, so your closer sees exactly why a lead qualified before saying hello. When your criteria change, you can test the update against simulated calls before it goes live, and A/B test different approaches to see which qualifies better.

National Energy Equipment’s team was spending hours calling each lead multiple times over several days, only to find many weren’t a fit. Now AI agents reach new leads within seconds, qualify them, and keep following up automatically when there’s no answer.

8 sec

To reach a new lead

85%

Qualification rate, consistent with human agents

97%

Customer satisfaction

Read the full case study

Give your closers their day back

Show us a month of your closers’ calls, and we’ll show you which ones an AI agent would have sorted first.

The spike

“Every busy season, the phones start blowing up. We hire the seasonal team. We spend weeks training them, and by the time they're actually good, it's like the busy season's already over. We do it every year and somehow the queue is still my fault.”

- Real words from a real customer conversation.

WHAT BUSY SEASONS COSTS YOU

Add up what the seasonal team cost you: recruiting, the weeks of training, the ramp time before they could take calls on their own, and the ones who left before the season ended.

Then look at how many weeks they were actually up to speed.

That's what you're paying every year for a few good weeks. And you're paying it again next year, from scratch.

What you’ve tried

Scheduled overtime

A burned out team, and a queue.

Kept extra people on standby

You pay for them on all the days nothing happens.

Started hiring earlier

Now you're paying for training before the rush.

WHAT CAN HELP

Stop staffing for spikes. Put an AI agent at the front of the queue instead. It's ready to scale the moment volume jumps, whether that's the first day of your busy season or a promo nobody planned for, and it answers every call at once, however many come in. It handles the common questions, qualifies people, and sends the ones who are ready straight to your team.

Your team stays the same size, and the queue never forms.

One thing to watch

Scaling up fast is the easy part. Staying accurate while you do it is hard. When a thousand people call at once, every required disclosure still has to be said right, and every record still has to land in your system.

Regal AI Agents can deliver required language word for word, so compliance holds up no matter the volume. They write call details back to your CRM as they go, and when they transfer to your team, the context comes with them, so nobody asks the caller to start over.

Every year during Medicare’s Annual Enrollment Period, eHealth’s inbound calls surge, and they used to hire and train hundreds of agents in a matter of weeks to keep up. They launched an AI agent to screen calls, qualify prospects, and transfer them to licensed agents.

100%

Answer rate on after-hours calls

77%

Rated the experience exceptional

27%

Increase in purchase interest versus human screeners

“The screener agent scales instantly when demand surges.”

Ketan Babaria, Chief Digital and AI Officer, eHealth

Read the full case study

Internal eHealth analysis of after-hours Medicare calls served by AI agents, 2025.

Next time there’s a spike in volume, be ready for it

Tell us what your last campaign day looked like, and we’ll show you how the queue behaves with an AI agent at the front of it.

one call, then hope

“We know that outbound works. The problem is we just don't have enough reps who are able to get to all the leads. So if we don't get to them on the first day, we typically don't hear from them at all. And we just hope that they call us back when we have an agent available.”

- Real words from a real customer conversation.

What’s waiting for a phone call

Count the people last month who started something and didn’t finish: a quote, an application, a sign-up. Now take your close rate on people your team actually talks to, and apply it to that list.

Already interested, waiting for a call

It’s also the business case for outbound that you’ve been meaning to write.

What you’ve tried

Relied on texts and emails

Easy to send, easy to ignore.

Planned to build an outbound team

Hiring, training, managing, compliance. Pushed to next year, again.

Asked inbound to call when it’s slow

It’s never slow.

Start outbound without building a department

An AI agent calls automatically when something happens, like a quote that didn’t get finished or a renewal coming up, sends a text alongside it, and hands anyone ready to buy to your team. Start with one list, prove it works, then grow from there.

One thing to watch

Outbound comes with problems inbound teams never had to think about. New numbers get flagged as spam fast, and every call has to follow consent, quiet hours, and state rules.

Regal shows your company name on outgoing calls with Branded Caller ID, so people know who’s calling before they pick up. And every call is checked before it’s placed against do-not-call lists, opt-in status, quiet hours, holidays, and state rules, across all 50 states.

American Standard generates tens of thousands of leads a month, but many were never contacted because their team didn’t have the capacity. Follow-ups were inconsistent or missed entirely. Now AI agents follow up instantly on every lead, including older ones that would have been missed, and hand off to human agents with full context.

$1.7M

Revenue from AI-led interactions in under 5 months

95%

Containment on inbound calls

88%

Positive sentiment

“With Regal, we’ve created a more responsive, seamless experience for homeowners.”

Michael Coker, Director, Digital Marketing & DTC Commerce, American Standard

Read the full case study

Let’s make the calls you’ve never had time to make

Pick one list you’ve never had the people to call, and we’ll show you what an AI agent would do with it.

The voicemail pile

“So we leave a voicemail, it goes in the voicemail pile and the voicemail pile keeps growing. And then three weeks later, we finally get a call back. And guess what? They already went with someone else.”

- Real words from a real customer conversation.

What’s sitting in your pile

Pull every lead from the last 30 days that never talked to a person. Multiply that by what you paid per lead.

Money you already spent

It’s sitting in a list nobody has time to work. And every day it sits there, more revenue goes to whoever called first.

What you’ve tried

Built a follow-up cadence

Works until new leads come in and bury it.

Sent a text instead

Easy to send, easy to ignore.

Gave old leads to new hires

They’re still learning, and the leads keep going cold.

Follow-up that doesn’t depend on anyone remembering

An AI agent calls every new lead within seconds, keeps trying on a schedule when nobody answers, and hands your rep anyone who’s ready to talk. New leads get called first, and old leads never fall off the list. That’s how the pile gets back to zero.

One thing to watch

More follow-up can create new problems: fresh leads waiting behind old ones, or calls that break quiet hours and state rules.

Regal handles both. Fresh leads automatically move to the front of the line in multi-attempt campaigns, so working the pile never slows down speed to lead. And every call is checked against state rules, quiet hours, holidays, and daily call limits at the moment it’s placed, so more attempts don’t mean more risk.

Embrace Pet Insurance’s team couldn’t keep up with every lead, which meant missed sign-ups and lower policy conversions. Now their AI agent, Ava, follows up with pet parents who start a quote, handles objections, and transfers qualified leads to a human agent.

17%

More tasks completed than their human agents

96.5%

Customer satisfaction

Hours saved every month

“We’re automating a significant amount of tasks away from our human agents.”

Maggie Vetrovsky, Director of Sales, Embrace Pet Insurance

Read the full case study

Let’s get your pile down to zero

Tell us what your follow-up looks like now, and we’ll show you what an AI agent would reach in the same month.