## Saniflow Corp. Reinforces Commitment to Exceptional Customer Service with Expanded Support Channels

![Saniflow Corp - Manufacturer of Washroom Solutions](https://d2c0db5b8fb27c1c9887-9b32efc83a6b298bb22e7a1df0837426.ssl.cf2.rackcdn.com/24003637-saniflow-corp-manufacturer-of-300x300.jpeg)

*Saniflow Corp - Manufacturer of Washroom Solutions*

![Horizontal ADA compliant baby changing station](https://d2c0db5b8fb27c1c9887-9b32efc83a6b298bb22e7a1df0837426.ssl.cf2.rackcdn.com/21692155-babymedi-render-on-wall-single-300x168.jpeg)

*Saniflow's 'Babymedi' Horizontal Changing Station*

![Compliant hand dryer with water collecting tank](https://d2c0db5b8fb27c1c9887-9b32efc83a6b298bb22e7a1df0837426.ssl.cf2.rackcdn.com/23890603-render-dualflow-plus-2-with-300x300.jpeg)

*Dualflow Plus Hand Dryer from Saniflow*

![ADA compliant electric hand dryer](https://d2c0db5b8fb27c1c9887-9b32efc83a6b298bb22e7a1df0837426.ssl.cf2.rackcdn.com/23883587-render-u-flow-surface-mount-wi-300x168.jpeg)

*U-Flow Hand Dryer from Saniflow Corp.*

*Saniflow has announced new customer service initiatives to further enhance response times, support accessibility, and overall user satisfaction.*

**Saniflow Corp.**, a leading U.S. manufacturer of high-performance commercial **hand dryers** and **baby changing stations**, is reaffirming its dedication to delivering not only premium restroom products but also **unmatched customer service** and technical support.

Although Saniflow's hand dryers are built to last—with durable components, advanced filtration systems, and vandal-resistant designs—occasional technical assistance may still be required. To ensure every customer receives prompt, expert care, **Saniflow's certified service technician is on standby daily from 7:00 a.m. to 8:00 p.m. EST**, ready to provide fast, reliable solutions for any service or technical inquiry.

In addition to extended service hours, Saniflow has implemented a **website chatbot, providing 24/7 assistance** for general inquiries, product recommendations, and troubleshooting guidance. During business hours (8:30 a.m. to 5:00 p.m. EST), **chat responses are guaranteed within 1–2 minutes**, ensuring customers receive the help they need—without the wait.

Furthering its commitment to a superior customer experience, **Saniflow's sales team also guarantees a two-hour quote turnaround**, helping contractors, architects, and facility managers stay on schedule without unnecessary delays.

"Our products are known for their performance and reliability, but equally important is the support behind them," said Tyler Rose, the Digital Marketing Manager for Saniflow Corp. "We know our customers rely on us to keep their facilities running smoothly, and we take that responsibility seriously. From rapid quoting to real-time support, we're setting the standard for service in our industry."

With these initiatives, Saniflow continues to distinguish itself not only through its eco-friendly, ADA-compliant hand dryers and baby changing stations but also through its **unwavering dedication to customer satisfaction**.

For more information or technical assistance, visit **www.saniflowcorp.com** or contact **sales@saniflowcorp.com**

### About Saniflow Corp.

Saniflow Corp., a division of Mediclinics S.A. (Barcelona, Spain), has been supplying high-performance, energy-efficient restroom solutions to North America since 2003. With nearly five decades of innovation behind its products, Saniflow offers a wide range of eco-friendly hand dryers and ADA-compliant baby changing stations designed for modern, high-traffic facilities. Every Saniflow product is engineered for performance, sustainability, and style—backed by industry-leading service and support.

Tyler James Rose
Saniflow Corporation
sales@saniflowcorp.com
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Saniflow Corp. Reinforces Commitment to Exceptional Customer Service with Expanded Support Channels

How Saniflow Corp. is Redefining Customer Service Excellence with 24/7 Support and Lightning-Fast Response Times

Artificial intelligence may be the future of customer service, but some early consumer reviews suggest that, at least for now, you should prepare to be annoyed.

**AI-powered chatbots** can act as virtual concierges steering wayward customers to the right resolution, but many customer service chatbots still deflect rather than resolve issues. Outright request refusals — or sending customers into a maze of AI-powered ambiguity that leaves them too exasperated to continue a complaint — are still common in the chatbot playbook.

“I hate AI customer service chatbots,” said Carmen Smith of Campo, California, who said she often ends up in an endless loop when dealing with the technology. “It seems that no matter what, they all will either point you to some type of FAQs list or repeat information you’ve already tried and found lacking,” Smith said. “I hate dealing with them, but a lot of companies use them nowadays, alas. I’d rather speak to a human being.”

Smith is not alone. **Nearly one in five consumers** who have used AI for customer service saw no benefit from the experience, according to the Qualtrics 2026 Customer Experience Trends Report. That figure — a failure rate almost four times higher than for AI use in general — points to something specific about customer service that makes it harder for AI to get right. Consumers rank AI applications for customer service among the worst for convenience, time savings, and usefulness. “Too many companies are deploying AI to cut costs, not solve problems, and customers can tell the difference,” said Isabelle Zdatny, head of thought leadership at Qualtrics XM Institute and the author of the report.

There’s a simple business reason why the experience for many customers has not been a positive one. “AI doesn’t change corporate incentives — it scales them,” said Ben Wiener, global head of Cognizant Moment, the digital experience practice of global technology and consulting firm Cognizant.

## ‘Relentlessly optimize’

Companies have always shaped customer service around what they measure and what they reward. Inside many customer contact centers, human agents operate within tightly scripted flows designed to limit discretion. In others, brands empower employees to do what it takes to keep customers happy.

“If leadership prioritizes minimizing refunds, reducing escalation to humans, or shortening call times, you can expect AI agents to reflect that philosophy in the experience — in the same way a human agent would. These were always business choices, and AI systems will enforce those choices too,” Wiener said, adding that AI can do it more consistently and at higher volumes. “AI will relentlessly optimize whatever metric it is given,” Wiener said. “Businesses need to be explicit about what outcomes they want their AI systems to prioritize, because those systems will deliver exactly what they are trained and measured to achieve,” he added.

“What bothers them is automation that traps them in a loop,” said Shannon McKeen, professor of practice and executive director of the Center for Analytics Impact at Wake Forest University School of Business. Research on support automation shows that many conversations with AI still eventually escalate to humans. But when systems cannot resolve the issue or clearly explain a decision, customers often experience the AI layer as an additional barrier rather than a solution, McKeen said.

![Qualcomm CEO: Consumers are going to see better AI agents](https://image.cnbcfm.com/api/v1/image/108272883-17725570131772557010-44330297202-1080pnbcnews.jpg?v=1772557013&w=750&h=422&vtcrop=y)

Deflection has its advantages for humans that work in customer service.

According to Terra Higginson, principal research director at Info-Tech Research Group, AI deflection is justified when it is used to protect workers in jobs that have high burnout rates and turnover, and are associated with mental health issues.

And in some cases, saying no is the right decision.

“If two people are arguing about a refund and the law says it is not available, a judge would adjudicate rather than argue continuously back and forth. That is often what happens in agent-to-unhappy-customer scenarios,” Higginson said. “This makes the process about enforcing rules and regulations rather than making refunds difficult,” Higginson said, adding that AI can enforce rules consistently across the board in a way humans may not be able to do, “without the arguing and back-and-forth strain of being yelled at for following company rules.”

Making legitimate refunds hard to secure, on the other hand, is just bad business, and always has been. “That is obstruction, not service,” Higginson said. It is an especially bad business model in a competitive market where digital opinions can spread quickly through forums and social media, Higginson added.

## Consumer-facing chatbots are here to stay

Tom Eggemeier, CEO of Zendesk, says too many companies define “resolved” interactions in ways that includes deflections and non-answers. Zendesk only counts a resolution if the customer, the business, and the employee all agree the problem was actually solved. “AI is a means, not an end,” Eggemeier said.

One solution that he thinks is likely in the not-too-distant future is for consumers to have a personal AI agent to deal with company chatbots, allowing the AIs to duke it out to resolve low-level issues.

Consumers may need the help.

Eggemeier estimates that within three years, 50 percent of digital customer service interactions will be handled by AI and that will rise to 80 percent within five years.

Jesse Zhang, CEO of customer service chatbot creator Decagon — which tripled its valuation to $4.5 billion in a recent funding round after it signed over 100 enterprise deals in 2025 across consumer-facing industries — says that companies aiming to deflect customers will lose money in the long run.

“We have not come across a single customer with the intention of deflection,” Zhang said. “People are very aggressive about optimizing for resolution,” he added.

Sierra, the conversational AI platform founded in 2023 by former Salesforce co-CEO Bret Taylor and ex-Google executive Clay Bavor, says that its business model uses “outcomes-based pricing” and it thinks that is a key way to approach these new interactions. “If we are not resolving the issue, if it doesn’t work for customers, then it doesn’t work for us,” said a Sierra spokeswoman.

Zhang conceded that from the customer side there can be subjectivity around the topic, and one person’s resolution is another’s deflection. But he said it is a company’s job to have AI that is smart enough to make a judgment call. “You can’t say no to everything, you can’t say yes to everything. You want to have a solution,” Zhang said.

What there should never be is a dead end, but rather, an “escalation path” for customers who aren’t getting what they need from AI answers.

![Sierra CEO Bret Taylor on the future of AI: We're at the beginning of the curve](https://image.cnbcfm.com/api/v1/image/108255596-17690853581769085354-43626580108-1080pnbcnews.jpg?v=1769085357&w=750&h=422&vtcrop=y)

There are circumstances in which a clear, quick path to a human agent should always exist, for example, elderly customers, VIP customers, or particularly complex problems.

A widely cited example of AI chatbot implementation is at fintech Klarna, where AI played a significant role, though was not the only factor, in a recent headcount reduction of 40%. But the AI-first policy shift ultimately resulted in the company deciding to rehire some workers in customer service after lower-quality performance from AI technology on some more complex tasks. A company spokeswoman recently told CNBC in a statement that Klarna remains committed to AI usage, having launched an AI assistant which did the work of 700 customer service agents at launch, and which has now increased to 800 agents. The AI assistant is now picking up more customer enquiries and its customer satisfaction scores are on par with human agents, the spokeswoman said.

The market is evolving quickly, and that can lead to a range of customer experiences. “Sometimes consumers don’t know the difference between an old-fashioned chatbot and AI. Old-fashioned chatbots can’t do things and resolve problems,” the Sierra spokeswoman said. There are also some brands that are “super cautious” in introducing new AI chatbot tec and put so many guardrails on AI agents the judgment needed to resolve issues isn’t even available. “They do that because they are nervous that it will make mistakes, but the guardrails have to be reasonable,” she said.

More complex AI use cases exist at the sector by sector level as well, like in health care. At NotifyMD, AI has been used in customer service to deal with some of the simpler issues, like responding to customer calls about billing. But Jodi Miller, senior vice president of sales, said with anything complex and emotional, humans still count. “There’s just no way for the AI to bring the kind of understanding and empathy that a human being can bring to the table, especially if the customer is upset or has a legitimate problem,” Miller said. “I think the key for all of these companies, going forward, will be to be very mindful of the use of AI and make sure that it’s helping, not hindering, the people who need the help the most,” Miller added.

Zhang is convinced that the future of customer service will be AI, and that AI agent will have memory and will be able to handle customer service inquiries of all types. “At a very high level, every business will have AI on the front end with one unified agent across all channels,” he said.

Generative AI is designed to please humans, but maybe not in the case of customer service chatbots dealing with angry consumers looking for refunds.

Why AI Chatbots Are Failing Customers: The Shocking Truth About Refund Requests

## The AI Revolution in Contact Centers

As artificial intelligence (AI) adoption accelerates across industries, contact centers are emerging as one of the areas experiencing the most significant operational change. Organizations are leveraging AI to **improve efficiency**, **reduce agent workload**, and **enhance customer experience**.

![Fikile Sibiya, Chief Information Officer at e4](https://d2c0db5b8fb27c1c9887-9b32efc83a6b298bb22e7a1df0837426.ssl.cf2.rackcdn.com/24821782-fikile-sibiya-200x300.jpeg)

According to **Fikile Sibiya**, Chief Information Officer at e4, AI is increasingly being implemented to support both customer service delivery and internal operations in high-volume, multi-channel environments.

### Key AI Applications Transforming Contact Centers

**Automation of Routine Tasks**
One of the primary applications of AI in contact centers is the automation of routine and repetitive tasks. This allows human agents to focus on more complex interactions that require judgement and problem-solving.

**Real-Time Contextual Information**
AI is being used to provide real-time contextual information to agents, including customer history, knowledge base insights and suggested responses. This enables more accurate and consistent service delivery.

**Natural Language Processing and Sentiment Analysis**
Technologies such as natural language processing and sentiment analysis are being deployed to help identify customer intent and emotional tone during interactions. This allows agents to respond more effectively and improve overall engagement.

**AI-Driven Personalization**
AI-driven personalization is another area of focus, with organizations using data and predictive analytics to tailor customer interactions, recommendations and service experiences at scale.

**Seamless Self-Service Integration**
The integration of automated self-service tools, such as chatbots, with human-assisted support is improving service continuity. When interactions are escalated, relevant context is transferred to agents, reducing repetition and improving the customer experience.

### The Shift to Proactive Service Models

"AI is also shifting contact centers from reactive to proactive service models. By analysing data patterns, organisations can anticipate potential issues and engage customers before problems arise."
— Fikile Sibiya

Beyond reactive support, AI is enabling more proactive service models. By analyzing patterns in customer data, organizations can anticipate issues and engage customers before problems arise.

### Additional Benefits of AI Implementation

**Quality Assurance and Compliance**
AI is supporting quality assurance and compliance by enabling organizations to monitor a larger volume of interactions and identify areas for improvement. This includes recognizing opportunities for agent training and development.

**Multilingual Support**
In global contact center environments, AI-powered language tools are helping organizations provide multilingual support, enabling agents to engage with customers across different regions more effectively.

### The Broader Impact on Business Strategy

According to Sibiya, these developments are contributing to a broader shift in how contact centers are positioned within organizations.

"Contact centers are increasingly being viewed not only as service functions, but as contributors to customer retention, revenue growth and overall business performance," he says.

### Future Outlook

Looking ahead, continued advancements in AI, including more autonomous systems, as well as supporting technologies such as omnichannel platforms, predictive analytics and the Internet of Things (IoT), are expected to further enhance contact center capabilities.

As organizations continue to adopt AI, the focus is expected to remain on improving operational efficiency, supporting employees and delivering more consistent and personalized customer experiences.

e4 highlights how AI is transforming contact centres to improve efficiency and customer experience

How AI is Revolutionizing Contact Centers: Boost Efficiency and Transform Customer Experience

**GetVocal has launched a groundbreaking governance layer designed to scale human-AI customer service operations, enabling enterprises to automate over 90% of customer conversations while maintaining compliance and quality.**

### The Gist
- **Hybrid operations launched**: GetVocal introduces Control Center for real-time human-AI collaboration.
- **Governance and oversight**: Supervisors can monitor, validate, and guide AI-driven customer interactions.
- **Enterprise impact**: Customer service teams gain scalable automation without sacrificing compliance or quality.

Paris-based conversational AI provider GetVocal launched its Control Center on March 31, a human-AI operations interface designed to help enterprises scale **customer experience (CX) automation** while maintaining compliance and human oversight.

According to the company, the Control Center introduces a **governance layer** for real-time, two-way human-AI collaboration. AI resolves most customer interactions independently while humans step in for judgment, validation, or exception handling.

Brands including Glovo, Terrapin, and Altis Hotels already use GetVocal's hybrid platform. The company asserts that enterprises on its platform have increased automation coverage, improved response times, and reduced operational costs while maintaining satisfaction and compliance standards.

"While many organizations are investing in AI agents, most existing tools can only automate the first five to 10 percent of customer journeys. This is because they were built either for human-only teams or for black-box decision-making," said Roy Moussa, co-founder and CEO of GetVocal.

Founded in 2023, GetVocal targets mid-market and enterprise organizations with high-volume customer interactions, especially in regulated sectors such as ecommerce, telecom, and hospitality. The platform offers hybrid human-AI agents with real-time oversight, escalation controls, and compliance support for GDPR, SOC 2, and HIPAA.

### AI-First Is All About Trust
> "Becoming AI-first requires more than automation, it requires a system you can trust. The Control Center gives us that: the AI stays in charge of the conversation, pulls in human expertise only when needed, and then completes the task independently. That's how you scale without losing control."
> **- João Cunha, transformation executive VP, Teleperformance**

### GetVocal Control Center Feature Breakdown
*The Control Center gives enterprises a governed interface for hybrid human-AI customer operations.*

| Capability | Description |
|------------|-------------|
| Control Center | Human-AI operations interface for real-time CX oversight |
| Real-time governance layer | Enables human monitoring and validation of AI actions |
| Two-way collaboration | AI can request human guidance on edge cases or escalations |
| CX tool integration | Connects with existing workflows across voice and digital |
| Deterministic context graphs | Makes every AI decision visible and traceable |

### The Problem GetVocal Is Trying to Solve
As enterprises push AI deeper into customer journeys — beyond simple, transactional requests — they run into a familiar tension: let AI act independently and risk increases; require human review of everything and the efficiency gains disappear. GetVocal is positioning the Control Center as a middle path, a **hybrid workforce model** in which AI handles the bulk of interactions autonomously while humans step in for judgment calls, exception handling, and validation of sensitive actions.

The company argues that most existing AI agent tools are built for one extreme or the other — either human-only teams or fully autonomous, opaque decision-making — limiting their practical automation coverage to roughly five to 10% of customer journeys. GetVocal's stated goal is to push that figure past 90% through what it calls a "**governed hybrid workforce platform**."

### What the Control Center Does
The platform gives supervisors and operators real-time visibility into both AI and human agent performance, including escalation patterns, sentiment shifts, and emerging operational risk signals. AI agents can request human validation for sensitive actions, flag edge cases, or surface high-value moments — all while retaining full conversation context. Human operators, in turn, can instruct AI agents, take over conversations, or approve requests without leaving their existing tools.

GetVocal says the Control Center integrates with **Zendesk and other CX platforms**, allowing customer service teams to work within familiar workflows. Underpinning the system are what the company calls **deterministic context graphs** — a structured approach to AI decision-making designed to make every action visible, auditable, and traceable over time.

### Early Customer Deployments
GetVocal says brands including Glovo, Terrapin, and Altis Hotels are already running its hybrid human-AI platform for complex customer conversations. The company reports that these deployments have improved automation coverage, response times, and operational costs while maintaining **customer satisfaction** and compliance standards, though it did not release specific performance figures.

Corinne Ripoche, CEO of Capita Experience, said in a statement that GetVocal's approach of placing humans in the loop as validators and auditors is what differentiates the platform. João Cunha, Transformation Executive VP at Teleperformance, described the Control Center as enabling AI to pull in human expertise only when necessary before completing tasks independently.

The Control Center is available immediately as part of the GetVocal Conversational AI Platform, spanning both voice and digital customer experience channels.

### GetVocal Gets Richer in 2025
GetVocal, founded in 2023, has raised $30 million to date. The company first raised €2.7 million in seed funding in June 2025, led by Speedinvest and Elaia, alongside a strategic partnership with Capita. Five months later, it secured a $26 million Series A led by Creandum. The company reported serving 23 markets with a 60-person team, counting Vodafone, Glovo, and Movistar among its customers.

The company cited results including **31% fewer escalations** and **70% deflection** within three months of deployment. Glovo scaled from one to 80 AI agents in under 12 weeks.

GetVocal's growth comes amid consolidation in the CX software market, including Zendesk's acquisition of Forethought and Thoma Bravo's $2 billion purchase of Verint Systems.

### Governed AI Agents in the Era of Compliance
Governed AI agents are delivering measurable productivity gains in customer experience while maintaining compliance under the EU AI Act, GDPR, and SOC2.

Unified oversight platforms enable supervisors to monitor both human and AI interactions from a single hub, introducing **AI Supervisor roles** where human experts guide automated conversations requiring judgment or compliance oversight.

Organizations using generative AI-enabled customer service agents saw a **14% increase** in issue resolution per hour and a **9% reduction** in handling time. Companies deploying AI in contact centers report **20-30% reductions** in operational costs.

Enterprise conversational AI is projected to grow **192%** from $17.05 billion in 2025 to $49.8 billion by 2031. Gartner expects generative AI to resolve **40%** of customer service issues by 2027.

GetVocal ships a governance layer for scaling human-AI customer service operations.

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