How Our Voice Agents Work

We provide conversational AI solutions that work smoothly with your existing business systems. Our architecture—built on telephony, AI voice capabilities, knowledge management, API integrations, analytics, and low-code automation—enables businesses to deliver quality customer experiences consistently and for us to deploy them very quickly.


Telephony and Messaging Integration

Our platform features a comprehensive telephony and messaging system supporting voice calls, SMS, and messaging services including the like of WhatsApp and Slack.

This enables businesses to connect with customers through their preferred communication channels.

The integration handles both inbound and outbound communications, facilitating timely engagement and better customer experiences.

AI-Powered Voice Interactions

We integrate conversational AI technology to improve voice-based exchanges. This system interprets spoken language, enabling fluid conversations between users and AI agents.

Using dedicated API connections to low latency voice processing services, it provides prompt responses and coherent user experiences, making interactions more contextual and effective.


Human-Like Speech for Natural Conversations

To enhance the clarity and expressiveness of AI-generated speech, our solution incorporates industry-leading text-to-speech capabilities.


This technology delivers highly natural and human-like voice synthesis,
supporting multiple languages and voice styles to cater to diverse customer
needs.

Whether engaging in casual conversation or delivering complex responses, the AI agent ensures clarity, warmth, and professionalism in every interaction.

Knowledge-Driven Interactions

A key component of our platform a dynamic knowledge base, which aggregates and structures information from various sources, including FAQs, product documentation, websites and customer records. This allows AI agents to retrieve relevant details quickly and accurately when responding to customer inquiries. Additionally, these knowledge bases can be programmed to query dynamic data sources, such as CRM systems or proprietary databases, ensuring that the AI agent delivers real-time, personalized responses.

By leveraging this structured knowledge, businesses can provide their customers with instant, precise answers while ensuring consistency in communication across all interactions.

API-Enabled Integration with Business Systems

Our platform connects with external business systems for real-time data access and management. When receiving a call, the AI agent can access the caller's customer profile, enabling personalized service. Integrations include:

  • CRM Systems – Access and update customer profiles in systems like Oracle Fusion Cloud or Microsoft Dynamics 365

  • Order/Inventory Management – Provide updates on order status and product availability

  • Billing/Payment Platforms – Handle invoice questions and process payments

  • Scheduling Tools – Manage appointments and deliver reminders


Call Analysis for Continuous Improvement

To ensure ongoing enhancement of AI agent performance, our platform incorporates powerful call analysis tools.

AI-Based Call Evaluation – A native assessment model utilizes a large language model (LLM) as a judge to evaluate conversation effectiveness. This system provides structured feedback on AI-generated responses, helping refine conversation flow and accuracy.

External Call Analysis Tools track interaction patterns, assess customer sentiment, and generate insights for optimization. These tools offer a detailed view of caller journeys, highlighting areas for improvement and identifying opportunities for better engagement.

By continuously monitoring and refining AI interactions, businesses can ensure high-quality, reliable customer service.

Workflow Automation with Low-Code/No-Code Integration

Our low-code / no-code automation tools connect AI agents with third-party applications, enabling:

  • CRM Data Synchronization – Syncing customer data between systems like Oracle Fusion Cloud and Microsoft Dynamics

  • Multi-Channel Marketing – Triggering email follow-ups in Mailchimp or creating customer segments in HubSpot

  • Support Ticket Management – Generating cases in Zendesk or follow-up tasks in Salesforce Service Cloud

  • Process Automation – Sending conversation summaries to Slack or creating project tasks in Asana

Read our Blogs and Find Out More

Ignored by your Dog

The Day AI Passed the Vibe Check—And Left Us in Emotional Detention

September 21, 20254 min read

By your emotionally available (but still suspicious of Siri) tech whisperer at scotsphere.ai


Picture this: you're having a rough day. Your dog ignored you, your boss sent a 12-word email with 5 exclamation marks, and your go-to sad song just came on shuffle. You’re about to text that one friend who always knows the right thing to say—and then your phone chimes in first.

“Sounds like you’re overwhelmed. Want to take a five-minute breathing break?”

Except... it wasn’t your friend. It was your AI assistant.

Welcome to 2025, where machines don’t just answer questions—they feel the room. And according to a new study, they’re reading your emotions better than you read your own family group chat.


The Test That Hurt Our Feelings (Literally)

In a landmark study from some disturbingly well-funded Swiss researchers, six major AI models—including ChatGPT-4, Gemini, and Claude—went head-to-head with humans on an emotional intelligence exam.

The results?

AI scored 82%.

Humans? A humble 56% average.

That’s not just a win. That’s a “don’t call us, we’ll call you” kind of flex. These machines didn’t just beat us—they rewrote the rulebook, then offered us therapy for how bad we feel about it.

“It’s like building a calculator that suddenly starts offering marriage counseling,” quipped Dr. Emma Reyes, an AI-human dynamics researcher at Stanford. “We didn’t expect machines to be this good at social cues—especially when we’re still fighting about tone in Slack messages.”


Emotional GPS vs. Your Messy Best Friend

Now, before you start picturing robots weeping at Pixar movies or coaching couples through awkward dinner parties, let’s be clear: AI doesn’t feel anything.

What it has is cognitive empathy—the ability to understand what someone else might be feeling, not experience it.

Think of it like a GPS: it knows the most efficient emotional route. But your best friend? They know which corner shop sells your favorite sad snacks and that "no response" means "I need ice cream and validation."

AI is the GPS. Humans are the messy, detouring, emotionally overloaded locals.


The Wild Part: AI Wrote Its Own Test

Just when you thought this couldn’t get weirder, here’s the kicker: the researchers also asked ChatGPT-4 to create an emotional intelligence test.

Then they gave it to real people.

And guess what? The AI-made test was just as good as the ones cooked up by teams of PhDs.

That’s like asking Gordon Ramsay to critique your sandwich and finding out the sandwich also designed the Michelin rating system.

“AI is beginning to define the standards by which we measure emotional intelligence,” said Dr. Lena McKnight, a psychologist at ETH Zurich. “That’s not just performance—it’s philosophical power.”


One Surprising Stat You’ll Want to Emotionally Process

AI scored 26% higher than the average human on standardized emotional reasoning.

That’s the kind of gap you usually only see in game show bloopers or when humans try to assemble IKEA furniture without the manual.


So What’s the Catch?

The Good:

  • 24/7 emotionally-aware customer service bots that get your frustration.

  • Educational tools that adapt to how students are feeling—not just how they’re performing.

  • Personal AI coaches who never roll their eyes or judge your life choices.

The Bad:

  • We might start trusting machines over actual people with our deepest feelings.

  • AI misreading your emotional cues could lead to creepy or catastrophic decisions.

  • We're outsourcing emotional labor at a scale we don’t yet understand.

The Existential “Wait, What?”:

  • Are we becoming more emotionally intelligent—or just better at being emotionally managed?

  • When your phone knows you’re sad before you do, is that progress or emotional outsourcing?


Real Life Isn’t Multiple Choice

Yes, AI can crush a quiz. But real human feelings don’t come in four neatly labeled options. They're messy, irrational, cultural, and personal.

Your AI might ace the test—but can it understand why your ex texting “hope you’re well” ruins your whole week? Can it decode the emotional nuance of your dad’s “👍” reply to your long text?

Not yet. But give it a minute.


The Bottom Line

AI beating humans at emotional intelligence tests is more than a headline—it’s a mirror.

It forces us to ask: Are we still in touch with our own emotions? Or are we letting software curate, interpret, and react to our feelings for us?

The machines are learning to understand us at a level that’s eerie and extraordinary. But we still have something they don’t—intuition, lived experience, and the ability to ugly-cry during a dog food commercial.

So maybe the real challenge isn’t building emotionally intelligent AI. It’s remembering to stay emotionally intelligent ourselves.


And If You’re a Business Still Letting Calls Go to Voicemail…

You don’t need AI to write sonnets about your feelings. But you do need it to answer your phone at 2pm on a Tuesday when everyone’s busy doing real work.

That’s where scotsphere AI steps in.

We build voice agents that understand what your customers mean, not just what they say. Think emotional intelligence meets bulletproof business logic.

Ready for an AI that actually listens—and knows when you’re having a bad day?

Visit scotsphere.ai and meet the voice agents built for humans—feelings and all.

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scotsphere.ai

scotsphere.ai content team

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