Key takeaways
- 83% of the 6,000+ consumers in AnswerConnect surveyed said they'd still rather speak to a real person than a bot.
- The real cost of automation rarely shows up on a budget spreadsheet. It shows up later, in reputation, retention, and referrals.
- Automated support breaks down hardest exactly where it matters most: calls involving emotion, tension, complexity, or trust.
- AnswerConnect has run fully remote since 2007, holding its culture together through core values instead of a shared office.
- Regulations targeting synthetic AI voices are catching up to something business owners should already be doing voluntarily: never pass off a bot as a person.
- The next five years likely belong to a hybrid model, where technology handles the repetitive work so people can do the human work.
There's no line item on a budget that says "cost of the customer who never called back." No alert when a warm, easy relationship quietly turns cold because a bot handled what a person should have.
That's the case Natalie Ruiz, CEO of AnswerConnect, made on a recent episode of the Goodfirms Podcast. Natalie joined AnswerConnect as a temporary employee in 2006 and worked her way to the top job. The company went fully remote in 2007, more than a decade before the rest of the world was forced into it. And while most of the corporate world races to automate every customer interaction to shave off pennies, her team surveyed over 6,000 consumers and found that 83% would still rather speak to a real person.
Who Is Natalie Ruiz?Natalie Ruiz is the CEO of AnswerConnect, a live answering and virtual receptionist company built on a fully remote, human-first model since 2007. On this episode of the Goodfirms Podcast: Conversations That Matter, Natalie breaks down why the human voice has become a financial asset rather than a sentimental one, where automated support does the most damage, and the one question every small business owner should ask before automating a single customer touchpoint. |
Two Decades in the Making
Natalie doesn't point to one single moment that made her a believer in human-first service. It built up over two decades of watching her team show up for small and midsize businesses on some of their clients' hardest days.
"Getting to see how we showed up in that way over and over again just really galvanized me, knowing that the right people make all the difference."
That belief shapes how she talks to business owners weighing AI against headcount. Her pushback was financial. Labor costs are easy to measure. Reputation isn't. Neither is the ripple effect of one call that goes badly. "You can't really measure the value of a call that goes really well and causes someone to evangelize your brand," she said, "or the cost of a call that leaves somebody feeling cold or unhappy."
The Real Cost of Automation
Natalie's data points to something past a generic AI-frustration headline. A human voice protects both immediate satisfaction and long-term retention, because most of what reaches a live agent has already failed self-service.
"You have to think about what propels somebody to actually pick up the phone," Natalie said. By the time a caller reaches a person, they've usually already tried the FAQs, the chatbot, and the automated menu. What breaks down the most and costs the most behind the scenes is exactly the kind of call automation is worst at handling.
Natalie points to a clear pattern: cases involving emotion, tension, complexity, or a need for trust are exactly where an algorithm-driven response isn't built to hold up. It's a distinction that matters whether you're running an in-house team or working with call center services companies to handle overflow.
Is Human Support Becoming a Luxury Signal?
As generic bots become the default baseline everywhere, it's tempting to assume live human support is drifting toward a luxury feature, something only premium brands bother paying for. Natalie pushed back hard on that framing.
"I don't dream of a world where only the biggest, most expensive transactions or brands have people," she said. Her comparison is retail self-checkout. Fine for three items and nothing complicated. Not fine the moment there's a return, a question, or a full cart.
That's also how she draws the line on what should never reach a bot, regardless of how advanced the technology gets. AnswerConnect's clients include healthcare providers, attorneys, and after-hours veterinary lines. "I think it should almost always be human. That's what people are craving when they pick up the phone," she said.
Culture Without a Building
AnswerConnect went remote in 2007. "People thought we were bonkers," Natalie said. What she learned early, and still leans on now, is that culture was never about sharing a room.
"Culture is the way you treat each other and how you care for each other, the way things are done here," she said. For AnswerConnect, that's a small set of core values, learning, sharing, and giving back, embedded into every touchpoint rather than absorbed by osmosis in a shared office. Scaling past one building forced the team to be intentional about culture instead of assuming it would just happen.
The Disclosure Problem Nobody's Waiting On
New FCC proposals are pushing toward required disclosures for synthetic AI voices. Natalie's take is that regulation is playing catch-up to a standard that businesses should already hold themselves to.
"What we're really clear on is that companies should never try to pass off a bot or an AI, an automated system, whatever you want to call it, as a person," Natalie said. She'd rather see businesses lead on transparency than wait for a rule to force it, a standard that applies just as much to in-house teams as to any of the customer support outsourcing companies a growing business might bring in.
There's a second, less-discussed cost worth raising too: the environmental footprint behind every automated interaction. AnswerConnect has planted over two million trees through its giving-back program, a reminder, in Natalie's words, that "any time the carrot is that something is cost-saving or free, there is usually a cost there."
Rapid Fire With Natalie Ruiz
- One word for the current state of automated customer service? Messy.
- Better first impression, a fast bot or a slower human? Slower human.
- A brand whose support line you would happily call again? Nordstrom.
- Would you rather have a perfect script or a great listener? Great listener.
For the rest of the rapid-fire answers, check out the full episode on YouTube.
The One Question Before You Automate Anything
Natalie's tough-love advice for business owners isn't a checklist. It's a single question to ask before turning on any automation.
"Ask yourself why you're doing it, and then if what you're doing will make the experience better for your customers," she said. "If it doesn't make it better for your customers, I think you're on the wrong track."
Conclusion
AnswerConnect isn't anti-technology; it uses AI for call summaries, live transcription, and real-time knowledge access. What Natalie is against is treating automation as a default rather than a tool. The businesses winning the customer experience conversation five years from now, in her view, will be the ones using technology to make the human connection stronger, not to replace it.
You don't need a call center background to apply this. Ask what a bad call actually costs your business. Ask which conversations in your business involve real emotion or complexity. Ask if your customers can tell the difference between a person and a script. The answers usually tell you everything.
Where to Find Natalie Ruiz and AnswerConnect
Website: AnswerConnect
LinkedIn: Natalie Ruiz
Conversations That Matter is the Goodfirms podcast featuring the practitioners, founders, and operators behind some of the most interesting companies in the world. Subscribe wherever you listen.
