#conversational automation

[igtsolutions]

Embrace the power of Artificial Intelligence (AI) and Machine Learning (ML) with our cutting-edge solutions. Revolutionize your business operations, drive informed decision-making, and stay ahead in the digital age. Our AI and ML solutions offer advanced analytics, automation, and personalized insights, empowering you to achieve remarkable efficiency and innovation.

[naomiknight-17]

Had a phone call with the bank just now to activate a replacement credit card and the lady was trying to get me to sign up for payment insurance, which would cover my payments temporarily if I 'became disabled or unable to work'

And I was like. I'm already disabled and unable to work. And I can't afford the premiums anyway

'Oh no, no, the premiums are very affordable, only $0.99 per $100 of your credit card balance'

'Yeah but my balance is (insert shockingly high number here)'

She was like. Oh. Oh okay. Have a nice day

[manmishra]

🚀 Explore how AI can transform your B2B marketing strategy! Discover actionable tactics to enhance buyer engagement and create personalized experiences. Dive into AI-driven buyer-centric strategies today! #B2BMarketing #AI #BuyerEngagement #DigitalMarketing

[pixelizes]

How AI & Machine Learning Are Changing UI/UX Design

Artificial Intelligence (AI) and Machine Learning (ML) are revolutionizing UI/UX design by making digital experiences more intelligent, adaptive, and user-centric. From personalized interfaces to automated design processes, AI is reshaping how designers create and enhance user experiences. In this blog, we explore the key ways AI and ML are transforming UI/UX design and what the future holds.

For more UI/UX trends and insights, visit Pixelizes Blog.

AI-Driven Personalization

One of the biggest changes AI has brought to UI/UX design is hyper-personalization. By analyzing user behavior, AI can tailor content, recommendations, and layouts to individual preferences, creating a more engaging experience.

How It Works:

AI analyzes user interactions, including clicks, time spent, and preferences.

Dynamic UI adjustments ensure users see what’s most relevant to them.

Personalized recommendations, like Netflix suggesting shows or e-commerce platforms curating product lists.

Smart Chatbots & Conversational UI

AI-powered chatbots have revolutionized customer interactions by offering real-time, intelligent responses. They enhance UX by providing 24/7 support, answering FAQs, and guiding users seamlessly through applications or websites.

Examples:

Virtual assistants like Siri, Alexa, and Google Assistant.

AI chatbots in banking, e-commerce, and healthcare.

NLP-powered bots that understand user intent and sentiment.

Predictive UX: Anticipating User Needs

Predictive UX leverages ML algorithms to anticipate user actions before they happen, streamlining interactions and reducing friction.

Real-World Applications:

Smart search suggestions (e.g., Google, Amazon, Spotify).

AI-powered auto-fill forms that reduce typing effort.

Anticipatory design like Google Maps estimating destinations.

AI-Powered UI Design Automation

AI is streamlining design workflows by automating repetitive tasks, allowing designers to focus on creativity and innovation.

Key AI-Powered Tools:

Adobe Sensei: Automates image editing, tagging, and design suggestions.

Figma AI Plugins & Sketch: Generate elements based on user input.

UX Writing Assistants that enhance microcopy with NLP.

Voice & Gesture-Based Interactions

With AI advancements, voice and gesture control are becoming standard features in UI/UX design, offering more intuitive, hands-free interactions.

Examples:

Voice commands via Google Assistant, Siri, Alexa.

Gesture-based UI on smart TVs, AR/VR devices.

Facial recognition & biometric authentication for secure logins.

AI in Accessibility & Inclusive Design

AI is making digital products more accessible to users with disabilities by enabling assistive technologies and improving UX for all.

How AI Enhances Accessibility:

Voice-to-text and text-to-speech via Google Accessibility.

Alt-text generation for visually impaired users.

Automated color contrast adjustments for better readability.

Sentiment Analysis for Improved UX

AI-powered sentiment analysis tools track user emotions through feedback, reviews, and interactions, helping designers refine UX strategies.

Uses of Sentiment Analysis:

Detecting frustration points in customer feedback.

Optimizing UI elements based on emotional responses.

Enhancing A/B testing insights with AI-driven analytics.

Future of AI in UI/UX: What’s Next?

As AI and ML continue to evolve, UI/UX design will become more intuitive, adaptive, and human-centric. Future trends include:

AI-generated UI designs with minimal manual input.

Real-time, emotion-based UX adaptations.

Brain-computer interface (BCI) integrations for immersive experiences.

Final Thoughts

AI and ML are not replacing designers—they are empowering them to deliver smarter, faster, and more engaging experiences. As we move into a future dominated by intelligent interfaces, UI/UX designers must embrace AI-powered design methodologies to create more personalized, accessible, and user-friendly digital products.

Explore more at Pixelizes.com for cutting-edge design insights, AI tools, and UX trends.

[tryslat]

Difference Between Manually Humanizing AI Text vs Using an AI To Human Text Converter

AI-generated content has become increasingly prevalent. Whether for academic writing, blog posts, or content marketing, AI-generated text can serve as a quick starting point for various writing tasks. However, there’s a clear distinction between manually humanizing AI text and using a reliable AI to human text converter. AI To Human Text Converter offers an efficient, free tool to convert AI-generated text into human-like content without compromising meaning, making it a must-have resource for content creators, students, and professionals.

What is AI to Human Text Conversion?

AI to human text conversion refers to transforming machine-generated content into natural, human-readable text. AI-generated text is often monotonous, lacks engagement, and reads robotically, making it necessary to humanize it for professional use.

When it comes to humanizing AI text, there are two approaches:

Manual Humanization: Manually refining the content by rewriting it, adjusting tone, and improving readability.

Using an AI To Human Text Converter: Automating the process with a specialized tool that instantly converts AI-generated text into a more natural-sounding format.

Let’s explore the differences between these two methods.

Manual Humanization of AI Text

Manually humanizing AI text can be effective but comes with its own set of challenges.

Speed: Manually editing and rewriting AI-generated content is time-consuming. It requires a keen understanding of tone, context, and structure to make the text flow naturally.

Complexity: Manually humanizing text demands a high level of effort and expertise. You need to rephrase sentences, break down robotic language, and ensure that the text makes sense while retaining its original meaning.

Security Risks: When manually humanizing AI text, especially if it's sensitive content, the risk of human error increases. There’s always a chance that important details could be misrepresented or misunderstood.

Limitations: Manually refining large volumes of AI-generated text is often overwhelming. This method is not ideal for those who need to process substantial content within tight deadlines.

Using an AI To Human Text Converter

Conversely, an AI To Human Text Converter automates the entire process and offers several benefits over manual humanization.

Speed: Converting AI-generated text into human-readable content is nearly instantaneous with a tool like AI To Human Text Converter. Instead of spending hours manually editing content, users can generate human-like text in seconds.

Simplicity: The tool’s user interface is straightforward, requiring no prior knowledge or expertise to use effectively. Just paste the AI-generated text, click convert, and you’re done!

Security: Since the conversion happens without the need for third-party apps or plugins, security risks are minimized. The tool allows users to safely convert any content while ensuring confidentiality.

No Limitations: With AI To Human Text Converter, there are no usage limits. You can convert as much AI text as needed without worrying about word counts, logins, or subscription fees.

Completely Free: Unlike many online tools that charge for premium access or impose restrictions on free versions, AI To Human Text Converter is entirely free with unlimited usage. No login, signup, or subscription is required.

Key Features Comparison

FeaturesManual Humanize AI TextAI To Human Text ConverterConversion of AI-Generated ContentAvailableAvailableUser InterfaceNot ApplicableStraightforwardSpeedSlowerExtremely FastSecurity RiskRisk-proneSecureUsage LimitationsLimitedUnlimited

Why Use AI To Human Text Converter?

If you’re tired of spending hours trying to manually humanize AI-generated content or need a quick, efficient way to transform robotic text into something engaging and natural, AI To Human Text Converter is the perfect solution. Here’s why it’s the best choice for you:

Free of Cost: The tool is 100% free with no hidden charges. Convert as much text as you need without worrying about subscriptions or limits.

No Authentication Required: There’s no need to sign up or log in. The tool is ready for immediate use.

Unlimited Usage: Whether you’re working on a single article or hundreds of pages, AI To Human Text Converter allows you to convert unlimited content.

Quick and Accurate: Get your AI-generated content humanized in seconds, with natural flow and readability.

Ideal for Multiple Applications: Whether it’s for assignments, essays, marketing materials, or blog posts, this tool ensures your text is suitable for any professional setting.

Why Manual Humanization is Not Always Practical

While manually humanizing AI-generated text can yield good results, it’s often impractical. Here’s why:

Time-Consuming: If you have large volumes of text, manually refining it will take too long. For students or professionals working on tight deadlines, this isn’t a viable solution.

Inconsistency: Manually humanizing content introduces the risk of inconsistencies. What may seem like a minor adjustment to one part of the text might lead to inconsistencies in tone or style.

Increased Effort: Editing AI content manually requires considerable effort, especially for non-professionals who may struggle with rewriting sections effectively.

Choosing between manually humanizing AI text and using an AI to human text converter depends on your needs, time constraints, and the volume of content you’re working with. For anyone looking to save time and effort, AI To Human Text Converter is an invaluable tool. It simplifies the process, delivers human-like text instantly, and comes with no cost or limitations.

Try AI To Human Text Converter today, and discover how easy it is to humanize AI-generated text with just a few clicks!

[ladyhusle]

Cut Through the Noise: Embrace Authentic Marketing to Build Lasting Connections

Discover the secrets to authentic marketing with Chelsey's latest post: Cut Through the Noise! Dive into the power of authenticity, transparency, and real connections to build lasting relationships in the digital age. 🌟 #MarketingTips #DigitalMarketing

Chelsey’s blog post emphasizes returning to marketing basics—authenticity, transparency, and genuine connections—to cut through digital overload. Using examples like Patagonia and TOMS Shoes, she illustrates how these principles build trust and loyalty, creating lasting impacts in the digital age. BY Chelsey’s Curations July 28,…

[paalove]

a sense of overwhelming peace and joy and goodwill descends upon you 🌇

[ennuidays]

😂😂 so like 😂😂😂😂😂 when am i going to get the instructions for making friends and talking to people everyone else got 😂😂 its a little late 😂😂😂😂😂😂😂😂😂

[tortoisesshells]

229.

[humanmorph]

man. the kentucky road zero intermissions are probably some of my favourite things in a video game ever

[xploreitcorp5]

Canva vs Adobe: What’s Better for Marketers?

1. Intro to Design Tools for Marketers  

These days, design is super important in digital marketing. Whether you're making social media posts or website banners, tools like Canva and Adobe are key. So, which is better for marketers: Canva or Adobe? This comparison helps both newbies and pros make the right choice. Adobe has a lot of advanced features, while Canva is easier to use. With more people wanting to learn design, students signing up for digital marketing course in Coimbatore are keen to pick up both tools. Let’s find out which one suits you best.

2. Usability and Learning Curve 

How easy a tool is to use matters a lot. Canva is great for beginners with its simple drag-and-drop functions, perfect for those not familiar with design. Adobe has powerful software like Photoshop and Illustrator, but you need training to use them well. Students in digital marketing training in Coimbatore usually start off with Canva before moving to Adobe. Learning Adobe takes a bit longer, but it lets you create more customized designs, which is great for those in the field.

3. Features and Functionality

When looking at what Canva and Adobe offer, Adobe gives you more precise control and endless customization options. Canva is great for quick designs using its templates and assets. Adobe shines in making complex and brand-specific designs, while Canva is perfect for eye-catching visuals in no time. Both tools are important for modern digital marketing course in Coimbatore, helping marketers create engaging campaigns.

4. Cost and Affordability

Cost can be a big deal when choosing tools. Canva has a free plan that works well for small businesses or freelancers. Adobe, on the other hand, needs a monthly subscription which can add up for beginners. In digital marketing training in Coimbatore, trainers often introduce Canva first because it’s free. But pros and bigger marketing agencies usually lean towards Adobe for its powerful features. In the end, it really comes down to your budget and design needs.

5. Collaboration and Sharing

Teamwork is essential for digital campaigns. Canva makes it easy for teams to collaborate in real-time, which is perfect for social media groups and students working on projects. Adobe has options like Creative Cloud but is more suited for individual designers. So, in the canvas vs Adobe debate, Canva is better for teamwork and sharing, while Adobe is stronger in design depth.

6. Mobile and Web Accessibility 

In a mobile-focused world, design tools need to be accessible. Canva works smoothly on both desktop and mobile, so you can create designs anywhere. Adobe’s mobile apps aren’t as strong, making it better for desktop use. This gives Canva a solid lead for those who are often on the go. During digital marketing course in Coimbatore, Canva is often recommended for its flexibility online, especially for content creators.

7. Branding Capabilities

When it comes to creating a complete brand identity, Adobe really stands out. It's fantastic for making logos and complex designs. Though Canva is great for keeping brand consistency, it lacks some of the detailed customization Adobe provides. Still, students in digital marketing training in Coimbatore learn both tools for branding. So, whether to choose Canva or Adobe depends on whether you want quick branding or more control over design.

8. Integration with Other Tools 

Being able to integrate with other digital marketing tools can really boost productivity. Canva works smoothly with platforms like HubSpot and Mailchimp. Adobe connects well with professional software for more complex workflows. Students learning digital marketing in Coimbatore often find Canva’s integrations simpler, especially when they’re just starting out. Meanwhile, those who need in-depth publishing may prefer Adobe.

9. Which One Should You Learn First?  

Beginners often wonder which tool to start with. Most experts say to go with Canva first because it’s easy and free. Once you get the hang of basic design, moving to Adobe can really expand your creative skills and job prospects. That’s why course like the one in Coimbatore cover both tools, making sure students are ready for different marketing roles.

10. Conclusion: Final Thoughts

So, Canva vs Adobe: which is better for marketers? It all boils down to your skills, needs, and what you want to achieve. Canva is great for beginners and quick content, while Adobe is better for advanced work. Anyone taking digital marketing training in Coimbatore should try both tools to stay versatile in the job market. At Xplore IT Corp, we teach both tools to ensure students leave with practical skills that employers want.

FAQs 

1. Is Canva good enough for professional marketing?  

Yes, Canva works well for professionals, especially for social media and smaller brand projects.

2. Why do marketers still use Adobe tools?  

Adobe provides advanced design options and creative freedom, making it vital for those needing complete design control.

3. Can I learn both Canva and Adobe in a digital marketing course?  

Definitely! Good programs, like the one in Coimbatore, include both tools for a well-rounded marketing education.

4. Which tool is easier for beginners?  

Canva is more beginner-friendly with its straightforward drag-and-drop features and ready-made templates.

5. Where can I get training in both tools for digital marketing?  

You can enroll in the digital marketing training at Xplore IT Corp in Coimbatore, where both Canva and Adobe are part of the hands-on curriculum.

[precallai]

How Automated Phone Conversations Are Revolutionizing Customer Support

Introduction

In an age where customer expectations are rising and businesses are striving for efficiency, automated phone conversations have emerged as a game-changing solution. Leveraging artificial intelligence (AI), businesses can now provide seamless, round-the-clock customer service that is efficient, consistent, and scalable. This article explores how automated phone conversations are revolutionizing customer support, the benefits they bring, and how companies can successfully implement this technology.

The Evolution of Customer Support

Traditional customer support has relied heavily on human agents managing phone lines, responding to emails, and handling support tickets. While human interaction remains valuable, this approach has limitations, including long wait times, inconsistent service quality, and scalability challenges.

The digital transformation of customer service began with the introduction of chatbots and self-service portals. However, voice remains a preferred communication channel for many customers, especially in complex or urgent scenarios. This is where automated phone conversations powered by AI voice technology step in. https://www.precallai.com/

What Are Automated Phone Conversations?

Automated phone conversations involve the use of AI-powered voice agents or systems that can interact with customers through natural language. These systems use natural language processing (NLP), machine learning, and speech recognition to understand customer inquiries and provide accurate responses without human intervention.

Whether it’s answering FAQs, processing orders, scheduling appointments, or providing technical support, automated phone systems can handle a wide array of tasks traditionally performed by human agents.

Benefits of Automated Phone Conversations

1. 24/7 Customer Support

One of the most significant advantages of automated phone conversations is the ability to provide round-the-clock support. Unlike human agents who work fixed shifts, AI-powered systems are always available to handle customer queries, even during weekends and holidays.

2. Scalability

AI phone systems can manage thousands of concurrent conversations, making them highly scalable. This is particularly useful during peak hours or promotional periods when customer inquiry volumes surge.

3. Reduced Operational Costs

By automating routine and repetitive tasks, businesses can significantly cut down on customer service costs. AI reduces the need for large customer support teams, allowing human agents to focus on complex and high-value tasks.

4. Consistency in Service Delivery

Automated systems provide consistent responses, minimizing errors and variations that can occur with human agents. This ensures a more uniform customer experience across interactions.

5. Faster Response Times

With AI, there’s no waiting time or call hold. Customers receive instant responses, which improves satisfaction and reduces frustration.

6. Actionable Insights

AI phone systems can analyze call data to provide insights into customer behavior, frequently asked questions, and service trends. These insights help businesses optimize their support strategies and improve customer satisfaction.

Real-World Use Cases

- E-commerce

Retailers use automated phone conversations to confirm orders, handle returns, and answer product-related queries. AI systems can manage high call volumes during sales and holiday seasons without compromising service quality.

- Healthcare

Hospitals and clinics leverage AI voice agents to schedule appointments, send reminders, and provide information about services. Automated phone conversations reduce the burden on administrative staff and enhance patient experience.

- Banking and Financial Services

Financial institutions use automated phone systems for balance inquiries, fraud detection alerts, and customer authentication. This improves security and reduces wait times for critical services.

- Telecommunications

Telecom companies use voice AI to troubleshoot network issues, manage account settings, and promote new plans. Automated systems ensure customers receive timely assistance without navigating long IVR menus.

Implementing AI in Customer Support

1. Choose the Right Platform

Businesses must select an AI voice platform that aligns with their industry needs and customer expectations. Platforms like PreCallAI offer customizable solutions tailored to specific use cases.

2. Define Clear Use Cases

Start with clear, high-impact use cases such as order tracking, appointment scheduling, or password resets. Gradually expand capabilities as the system matures.

3. Integrate with Existing Systems

Seamless integration with CRM, ticketing systems, and other backend tools is critical for delivering personalized experiences and maintaining data continuity.

4. Monitor and Optimize

AI systems require continuous monitoring and training to ensure accuracy. Regularly review performance metrics, customer feedback, and conversation logs to identify improvement areas.

5. Train and Support Human Agents

Rather than replacing human agents, AI systems should complement them. Train agents to handle complex issues and escalate calls from the AI system when needed.

Addressing Common Concerns

- Loss of Human Touch

While automation can feel impersonal, advanced AI voice agents are becoming increasingly human-like. They can recognize emotions, modulate tone, and engage in natural conversations, enhancing the customer experience.

- Security and Privacy

AI platforms must comply with data protection regulations such as GDPR and HIPAA. Secure call recordings, encryption, and authentication protocols are essential to maintain customer trust.

- Customer Acceptance

Transparent communication and user-friendly interfaces encourage customer adoption. Let users know they’re speaking to an AI agent and provide options to speak with a human when needed.

The Future of Automated Phone Conversations

With continuous advancements in AI, NLP, and voice recognition, the future of automated phone conversations looks promising. We can expect more intelligent, context-aware systems that not only respond but anticipate customer needs.

Voice AI will likely integrate with other channels—email, chat, and social media—for an omnichannel support experience. Predictive analytics, sentiment analysis, and real-time personalization will become standard features.

Conclusion

Automated phone conversations are not just a trend—they represent a significant shift in how businesses interact with customers. By embracing AI voice technology, companies can deliver faster, smarter, and more efficient customer support.

From 24/7 availability and cost savings to improved customer satisfaction, the benefits are compelling. As technology evolves, automated phone conversations will become an integral part of every customer service strategy.

Now is the time to invest in AI-powered customer support and stay ahead in the competitive digital landscape.

[jcmarchi]

Hakob Astabatsyan, Co-Founder & CEO of Synthflow – Interview Series

New Post has been published on https://thedigitalinsider.com/hakob-astabatsyan-co-founder-ceo-of-synthflow-interview-series/

Hakob Astabatsyan, Co-Founder & CEO of Synthflow – Interview Series

Hakob Astabatsyan, Co‑Founder and CEO of Synthflow, is leading the development of cutting-edge voice AI technology that helps businesses automate customer calls with human-like responsiveness. Based in Berlin, Hakob co-founded Synthflow in 2023 with the goal of making advanced conversational AI accessible to companies of all sizes.

Under his leadership, Synthflow has rapidly scaled across Germany and the U.S., enabling clients in real estate, healthcare, finance, and other industries to deploy custom no-code voice agents in just weeks. These AI agents handle inbound and outbound calls, integrate with 200+ apps and CRMs, and operate at low cost with exceptional accuracy. With rapid revenue growth and a growing global team, Synthflow is becoming a leading voice automation platform—and Hakob is at the forefront of its expansion.

What inspired you to start Synthflow, and how did your background as a strategist and serial entrepreneur influence the company’s mission?

When we started Synthflow, voice AI was still in its infancy, limited to robotic IVRs and hard-coded scripts. But having worked across multiple startups and tech ventures, I could see a deeper opportunity. My background as a strategist taught me to spot moments when a shift in infrastructure reshapes an industry, and that’s exactly what large language models did for voice.

We knew that if we could combine cutting-edge AI with real-time voice interaction we could transform customer communication. That mission to democratize voice AI wasn’t just a tagline; it was a response to a market gap. Our north star has always been to build human-like automation that is easy to deploy, scalable, and secure.

Your mission is to “democratize access to AI voice automation.” What does that look like in practical terms for small and mid-sized businesses?

Democratizing voice AI means removing the technical and financial barriers that have historically limited access to this technology. Whether you’re a fast-scaling startup, a mid-sized operation, or an enterprise team looking to modernize customer engagement, our goal is to make human-like voice automation deployable in days.

This is why we built Synthflow as a no-code platform. Instead of relying on engineering resources or lengthy integrations, teams across sales, support, and operations can design and launch voice agents through a simple browser-based interface. It’s a shift from AI being a back-office R&D project to a frontline business tool.

Can you walk us through what it takes to build and deploy a voice agent from scratch using your tools?

It’s remarkably intuitive. Our no-code, browser-based interface lets users drag and drop elements to design a complete call flow conversation from greetings to follow-ups. You can define tone, fallback behaviors, and integrations with your existing systems like CRMs or calendars.

We take care of everything behind the scenes—transcription, speech synthesis, LLMs, and call setup—so teams can focus on the experience, not the plumbing. That’s how we earned G2’s Fastest Implementation badge for AI Agents globally, because most of our customers go from zero to live in under two weeks.

What breakthroughs allowed you to achieve human-like latency of <500ms and near-perfect uptime?

Achieving sub-500ms latency was a major technical milestone. It required a combination of edge computing, real-time streaming architecture, and model-level optimization. We decoupled our speech-to-text and text-to-speech layers from the LLM inferences to ensure parallel processing wherever possible.

On the infrastructure side, we designed for reliability from day one—leveraging redundancy, failover routing, and distributed cloud systems to maintain uptime even at high volumes. Today, we process over 40 million calls per month, and our customers benefit from that battle-tested scale.

How does Synthflow’s AI avoid hallucinations and stay within brand-safe “guardrails” during conversations?

Unlike general-purpose chatbots that try to handle anything and everything, our voice agents are built to be goal-driven. That focus dramatically reduces the chances of hallucination. If an agent is designed to schedule calls, it simply won’t respond to unrelated prompts like “tell me a joke” or “what’s the weather.” It sticks to the task it was created for, keeping the conversation purposeful and on track.

On top of that, our platform includes a built-in knowledge base that lets you define exactly what the agent should know—and more importantly, what it shouldn’t. This makes it easy to keep conversations brand-safe, accurate, and relevant, while giving you full control over how the AI handles information.

What makes users trust an AI voice agent, and where do things typically go wrong in customer experience?

Trust comes down to speed, relevance, and tone. If an AI responds quickly, understands intent, and sounds natural, people are more likely to engage. We’ve built in subtle human cues like pauses and filler words to make conversations feel real.

Things go wrong when AI tries to do too much. That’s why our agents focus on specific tasks and escalate when needed. It’s not about doing everything—it’s about doing the right things well.

That said, we know some people are still skeptical. And that’s fair—every new technology goes through that phase. As a pioneer in voice AI, we see it as our job not just to build great tech, but to help people feel confident using it.

How do you ensure that Synthflow voice agents handle sensitive data securely while complying with HIPAA, SOC2, and GDPR?

Security and compliance are core to our architecture. We’re certified under SOC 2 and GDPR and operate with HIPAA-compliant safeguards for healthcare clients. This includes data encryption at rest and in transit, role-based access controls, audit logs, and consent frameworks baked into call flows.

What role do humans still play when Synthflow is deployed — and where is human-AI collaboration most critical?

Humans will always play a critical role. Synthflow isn’t here to replace people, we’re here to make them better at their jobs. Our AI voice agents take on the repetitive, routine calls so human teams can focus on what they do best: handling complex, emotional, and high-impact conversations.

We think that the future of customer communication is like a relay. The AI runs the first leg of the conversation—capturing intent, collecting details, handling routine actions. When things get more complex, it passes the baton to a human with full context so they can pick up seamlessly. That kind of human-AI collaboration creates better experiences for both sides of the conversation.

You’re based in Berlin. How does the European tech ecosystem shape Synthflow’s growth strategy, especially around privacy and AI regulation?

Being in Europe, especially in Berlin, has sharpened our focus on privacy, ethical AI, and compliance-first development. European customers demand high standards, and we’ve embraced that as a competitive advantage. Our architecture is designed to be data-sovereign and regulation-ready, which positions us well as global AI regulations tighten.

Berlin also offers a unique talent pool. It’s helped us grow thoughtfully while staying grounded in trust, which is essential when your product talks directly to customers on behalf of a brand.

Where do you see the future of AI voice agents heading — and what’s one major trend in enterprise AI that’s currently underhyped?

The future is accelerating faster than anyone predicted. Within a few years, I believe over half of all B2B voice interactions will be AI-driven, and we’re already seeing glimpses of AI-to-AI conversations managing entire workflows.

One underhyped trend is the rise of no-code and low-code AI orchestration. Everyone talks about the models, but the real unlock comes when businesses can deploy and iterate on AI solutions without writing code. And we’re excited to be part of this wave.

Thank you for the great interview, readers who wish to learn more should visit Synthflow. 

[unitedstatesrei]

Automate, Elevate, and Build a Business That Works for You with Caroline Hobbs

Key Takeaways Automating systems and setting clear expectations are the keys to building a scalable, sustainable business. Agents should start with their personal sphere and consistently ask for the business without fear. Leveraging AI and SOPs empowers agents to save time and focus on income-producing tasks. United States Real Estate Investor The REI Agent with Caroline Hobbs https://youtu.be/rpR6yoX4TIg Follow and subscribe to The REI Agent on social Facebook Instagram Youtube .cls-1fill:#fff; Linkedin X-twitter United States Real Estate Investor It's time to have an investor-friendly agent on your team! It's time to have an investor-friendly agent on your team! United States Real Estate Investor From Open Houses to Ownership: Caroline Hobbs’ Rise to Real Estate Mastery In this eye-opening episode of The REI Agent Podcast, Mattias hosts the extraordinary Caroline Hobbs, a powerhouse in real estate, tech, and team building. While Erica is out for physical therapy, Mattias flies solo to spotlight a woman whose story screams resilience, vision, and innovation. Caroline isn’t just a top-producing agent. She’s the founder of Reward Realty, one of California’s youngest-ever brokers, and the brain behind a revolutionary real estate CRM that’s changing how agents work nationwide. “I graduated college in 2009—arguably the worst time in history to try and get a job in finance.” Her story begins with inherited wisdom. As a third-generation real estate expert, Caroline was practically born to build an empire. What started with open houses during college soon transformed into a thriving brokerage, and eventually, a pioneering tech company designed for agents by an agent. Starting Young, Going Big: The Journey of a 21-Year-Old Broker Caroline doesn’t just talk the talk—she’s lived every part of it. At just 21, she became a licensed broker, stepping into an industry most were fleeing during the housing crash. Her mentor, a Keller Williams legend with over 10,000 contacts in her database, gave Caroline the tactical experience to thrive in chaos. “I was probably the youngest broker in the state for a while… because I graduated early and the experience rule hadn’t kicked in yet.” That early exposure to system-building and data management laid the foundation for something bigger: leading her own team, then creating a platform that helps others do the same, faster, smarter, and more profitably. Real Brokerage, Real Growth, Real Results Fast forward to today, Caroline’s team under Real Brokerage has grown from 4 to 9 agents in just four months. Her secret? Monthly masterminds, relentless expectation setting, and systems that allow every team member to build sustainably. “We teach people how to treat us—but we also set the expectations for our clients, our team, and our business.” She’s not just closing deals. She’s mentoring minds and building leaders. From showings to SOPs, Caroline’s influence runs deep in every aspect of her operation. She reminds us that real leadership is built on communication, follow-through, and vision. The Software That’s Reshaping the Agent's Life Caroline’s CRM isn’t just another shiny object, it’s a full-stack assistant that reads documents, transcribes calls, tracks deadlines, and automates client communication. “We help agents build out their SOPs, automate their transactions, and create time-saving systems that actually serve them.” With integrations into DocuSign, Dropbox, Fellow, and custom pipelines, it’s a plug-and-play system that frees up time for what matters: serving people. The CRM even uses AI to summarize phone calls, schedule follow-ups, and trigger marketing automations. It’s the very definition of working smarter, not harder. Train Like a Pro with Caroline’s AI Roleplay Coach Caroline also created a custom GPT tool for her team that roleplays lead conversations, provides feedback, and trains agents on how to confidently convert calls into clients. “It gives them

real-time feedback on what they did well and how they can improve—and it’s trained with Tom Ferry and Phil Jones language.” New agents use it daily to sharpen their skills before ever picking up a phone. She understands that the biggest gaps in success are often confidence and preparation, and she’s built tools to bridge both. Want More Deals? Ask for the Business. When Mattias asked Caroline for one golden nugget for new agents, she didn’t flinch. “Start with your sphere and ask for the business. Don’t be shy to say, ‘Do you know anyone looking to buy or sell?’” Her advice is refreshingly practical—start face-to-face, lean on your community, and build your skills over time. AI and automation are tools, but relationships and reputation are still the foundation. Final Words of Wisdom from a Trailblazer To close out the episode, Caroline recommends the game-changing book Buy Back Your Time by Dan Martell. “You should be out making the sales, not buried in paperwork. Automate and delegate everything else.” From strategy to software to soul, Caroline Hobbs embodies what The REI Agent is all about: building wealth while staying aligned with who you are and what matters most. Want to work smarter, lead better, and live bolder? Start by asking better questions. Caroline did, and it changed everything. Stay tuned for more inspiring stories on The REI Agent podcast, your go-to source for insights, inspiration, and strategies from top agents and investors who are living their best lives through real estate. For more content and episodes, visit reiagent.com. United States Real Estate Investor Create healing and connection within yourself, your family, and your community. Create healing and connection within yourself, your family, and your community. United States Real Estate Investor Contact Caroline Hobbs Reward Realty Linktree United States Real Estate Investor Mentioned References Buy Back Your Time by Dan Martell Tom Ferry Phil Jones Real Brokerage Google Forms ChatGPT United States Real Estate Investor Transcript Welcome to the REI Agent, a holistic approach to life through real estate. I'm Mattias, an agent and investor. And I'm Erica, a licensed therapist. Join us as we interview guests that also strive to live bold and fulfilled lives through business and real estate investing. Tune in every week for interviews with real estate agents and investors. Ready to level up? Let's do it. Welcome back to the REI Agent. It's your friendly local neighborhood real estate agent podcast host, Mattias, an investor. We are not, we don't have Erica with us today. So unfortunately, she had to go to PT. So we will hopefully have her here on the next one. But we did have a great guest today, Caroline Hobbs. Caroline is a team lead. She's an experienced agent, broker, and now a software owner. She has a CRM that she sells that has a lot of automations and stuff built in. It's pretty cool. So definitely check out the show notes if you are interested in hearing more about that. She can, you can see where, you know, in her link tree what all is available. I think that in this business, there's a lot of shiny objects. There's a lot of people that are trying to kind of get your money and can be distracting. Sometimes we get focused or persuaded into something. It could be changing brokerages. It could be, you know, this new tool that's fun. It could be a new system. I'm certainly guilty of this stuff. But I think at the end of the day, if you are focused on providing your clients with consistent, clear communication and you're setting expectations, you're going to do really well. So if you focus on those as the core tenement, and if you are building out systems and processes that help enhance that, I think that's what's really key in business that you already have. That's not necessarily something that will help you gain more business, other than people might rave about your services because they felt like they were taken care of the whole time.

So no matter what you do in this business, no matter what kind of things that you look into, because I think, you know, systems and processes and software, AI, all that stuff can be incredibly powerful. Just don't lose sight of what's really important when you are interacting with your clients. I think that's the key there. But without further ado, I'm going to keep this one short. We're going to go right into Caroline Hobbs. She, again, is out of the Silicon Valley area. She is an experienced agent. She may have been, and she talks about this, the youngest broker in the whole state of California for a couple months. So without further ado, Caroline Hobbs. Welcome back to the REI Agent. I am here with Caroline Hobbs. Caroline, thanks so much for joining us today. Thanks for having me. Hey, Caroline, you got a couple different hats. You have been an agent for a while. You've now team lead and you own a software company, correct? Correct. Yeah, awesome. To get started, I want to dive into all this different stuff, but let's get started by just kind of hearing how you got into real estate to begin with. Yeah, definitely. So I am third generation in real estate. So you could kind of say that I was born into it. My grandfather used to flip properties. He was a contractor. And after my mom graduated college, he encouraged her to go on and get her real estate license, which she did. She worked for Fieldstone down in Southern California, selling new homes for years and years, and eventually moved over to the lending side of things. While I was in college, I got a part-time job. I had no intention of going into real estate, as I have my degree in finance, but got a job hosting open houses for a realtor in Palo Alto and decided that I liked it. So shortly after graduation, I got my broker's license and a few years after that, started my independent brokerage. Nice. Wow, that's awesome. So you jumped right into starting your own brokerage, not just a new team. You went right into being your own broker. Well, so the realtor that trained me, just to give you a little bit of perspective, I started working for her in 2008, 2007, something around right there, and right at the heat of the crash as the market was crumbling. I graduated college. You needed to get into it. I graduated college in 2009, which is basically the worst time in history to try and get a job in finance. I was still working with the agent that trained me, and honestly, I couldn't have asked for a better mentor. The woman who I got to work with, she was internationally ranked as the top-selling agent in all of Keller Williams. She had a database at the time of over 10,000 people, which this is before people used databases. So I was hosting her open houses. I was organizing all of her clients in her database. I got a lot of really tactical, hands-on experience for how to manage contacts, how to stir the pot and turn that into actual business. So I worked with her for the first five, six years of my career, and then I was teaching a lot of classes at Keller Williams. I went off. I became an independent agent with them, but ultimately, I felt like my time was being pulled in multiple directions with being in the bigger office and having my broker's license. I felt confident that I could do it, and so I started Reward Realty in 2011. And I started that in 2013, and I ran it as an independent for 11 years. Wow. That's awesome. Just real quick before I forget, do you have any fun ways of re-engaging a database of that size that you could share? Honestly, the technologies have changed so much. So the tactics I use today to serve databases like that versus the tactics I used 10 years ago are very different. I am really big on utilizing tags and client types. I'm also pretty big on utilizing pipelines to analyze your business, kind of scoping out a little bit. I think the most important thing is to make sure that your contacts are always properly categorized.

And then when we talk about my software, I can kind of talk about ways that we have built our system to help agents keep those things top priority as they're working in their database. So that way, it's easier to identify those low-hanging fruit. Okay. Yeah, we'll have to get into that. I do want to talk a little bit about team building first. So when you got your brokerage, did you already have agents that were going to join you or were you just kind of at that point going to be a solo broker agent? Or did you hire an admin? What was that process like? For most of the time that I ran my brokerage as an independent, I had just an admin TC and a couple agents with me, like two or three for most of the time. So it was never, I was always the top producing agent. I was in some cases feeding other agents that were with me. Being independent was great. It was really lonely at first because I went from a team in an office environment to being on my own. And so having that assistant really helped with bridging the camaraderie gap and the social gap. And then it's honestly just recently that I really started getting involved more with the associations, the boards, things like that locally. At the time, real estate wasn't trendy to get into because the market was crashing. It was the worst time in real estate. So I was much younger than anybody else in my office or really in the industry that I knew at the time. When I got my broker's license, I had just turned 21. I was 21. Wow. There's a good chance I was probably the youngest broker in the state for a while just because you had to either have a degree in finance or economics or have five years sales person's experience at the time. And since I was younger than everybody in school and I graduated and got my broker's license right away, they changed it a few months later to require the five years experience. But at the time, they didn't have that in place. I was wondering. I think here it's three years of experience. I don't know if we have that finance loophole. There's no loophole anymore. But there was. This is in 2009, so a long time ago. So when you were bringing agents on or when you had a couple of agents, were they just selling independently or were they designated to help you in certain ways like having a showing agent or something like that, listing specialist? I did have one showing agent. The others worked independently. Okay. Yeah. And how's your, you said sales team earlier. How's that structured now? So my sales team has grown a lot. So one year ago, I made the switch from operating my business as an independent to coming on with Real Brokerage as a part of their white label program. So under their white label program, I've been able to grow quite a bit. We have an agent locally that is a huge attractor. And but he doesn't quite have the capacity to give training and things like that to agents. So I started doing monthly masterminds for agents with my lending partners where I kind of take a look at all the different ways that agents generate business, whether we're talking about social interactions, you know, their kids, the parents at their kids schools, whether we're talking about online marketing, purchasing leads, converting leads, whether we're talking about social media, being an influencer, direct mailing, farming, all of these different kind of tried and true, so to speak, ways. We kind of rotate and dive into each of those things on a monthly basis. Usually the trainings are about two to three hours long. And it has grown my team from four of us to nine of us in the past four months. Wow. Now, again, is that structured kind of like you were before? Do you have any designated people helping you directly? Are they all just kind of independent agents that are there to help or to be mentored by you, et cetera, and work together as a team? So we work together as a team. So I help not as much on like the paid lead side, but like I go on listing appointments with my agents and secure the transaction for us.

I've been in this business for so long. I understand the ins and outs and how to problem solve on the spot. There's not much that somebody could throw at me that I wouldn't be able to take a second and give them good guidance on. Not to say that I'm perfect. It's just when you've been in the business almost 16 years and you've been on as many inspections and things like that, you retain it. And I honestly, I live by the mindset that there's always something new to learn with every transaction, with every interaction that we have with people. So I kind of utilize that. Yeah. Cool. Yeah, it definitely helps. And things don't phase you quite as much as they may have in the beginning. A hundred percent. When a problem comes up or whatever, like each time. I kind of remember the first year that really my business really took off, skyrocketed. It also came with a lot of problems. And there was one time where I was just like down. I was just like, you know, kind of overwhelmed and just like, oh my gosh. So many problems, so many issues. And, you know, a good friend of mine kind of took me aside and was trying to give me like a pep talk and all that kind of stuff. But another friend was telling me, you know, whenever this kind of stuff happens, like it's just, you know, once you get past it, like you feel unfazed, like you're going to be unflappable. You're not going to be able to be bothered by little things anymore because you just got through this like really tedious time. But on top of that, the next time something like that happens, it's not as big of a deal. And so like looking back at the things that like phase you at the beginning versus now, just it's kind of, it's almost funny. But you can share that with your team as well if they're not quite as experienced as you. You know what, I tell my team this all the time and I can't say it enough is not only do we teach other people how to treat us, but we also set expectations for our clients, for our team members, for any interactions that we have. And so I feel like as an agent, more than anything else, that is our number one role is setting expectations. Because it's when those expectations are not met that people start getting frantic and they start making emotional choices. And so if you can just stay ahead of that and provide communication, then the problems stop popping up. 100%. There is somebody on here, I think he was an investor actually, but he was talking about how kind of everything boils down to setting clear expectations and communicating effectively. And if you can do those two things, even with your kids, with your family, it's just like, you know, you're a little kid and they're in the middle of a TV show or middle of playing in the park and all of a sudden you're like, we're going, we're leaving, bye. And just rip them out of that. They're going to be pissed. They're going to be very mad. But if you set the expectations that A, you're going to be here for this long and then kind of check in with them, communicate that, you know, 15 minutes, 10 minutes, five minutes, one minute, whatever, and we're going to leave, then that whole process goes a lot more smoothly. And that's the same for, you know, clients. Like if you are proactively communicating throughout the process and, you know, setting the expectations that they're going to get that email, that call, that whatever at this time, they're not going to be anxious. They feel that they're covered. And yeah, so I agree. Agents are the same way though. And I think that's one reason why I've been successful in stepping from, because in a lot of ways I run my team and my downline with Real in the same way that I ran the brokerage. Setting expectations with your agents. I think, you know, let's talk about marketing for example. People think that they're going to send one postcard and suddenly the phone is going to start ringing and everyone is going to be offering them their house to sell. Right.

That's just not how it works. It's stacking those good behaviors every single day to get closer and closer to your goal. And so it's about building that consistency. And so part of my job as a team lead is setting that expectation from the beginning. Okay, you want to start a farm. That's amazing. Let's go ahead and determine the farm. But to be clear, you should not expect anything to turn from this farm for at least the next three to six months. Don't start Google marketing and think that all of a sudden your phone is going to ring off the hook. No, you're going to have to build up that SEO credibility. You're looking at at least six months before you're really starting to get things, the algorithms and everything, getting to know who you are. And so I think that's where a lot of miscommunication goes into it. I think a lot of people are afraid of the truth or they're afraid of rejection if they give somebody the whole truth. And so it's kind of just it goes back to setting those expectations from the beginning. Yeah, that consistency too is huge. I have a house under contract that I've been mailing postcards to that community as a farm for two years, I think. And this is the first actual deal to come from two years. Yeah. And now the result of this sale is great for everything that I've been saying that I'm doing. I did in this deal and we got an amazing above asking price offers that I can now market to that community and just hopefully that will continue to snowball the results from that marketing that I've been doing. But that's hard for people. I mean, that's a lot of money. You know, it's hard to see the forest for the trees. Like if you're spending a lot of money on Google ads, you're spending a lot of money on postcards and nothing's actually come from it. You just feel like, you know, what's the point after a couple months you just spent. So in some ways it's easier to sign a contract or to just send the money to an agency that says, I'm going to commit to this for a year and I'm going to put it up front and it's done. And because you're going to just be spending money pointlessly otherwise, probably. Well, and honestly, I think the same thing goes when you're starting a team as well is people think this is going to be great. I am going to start a team. I'm going to check in with my team and they're going to go off and then I'm going to get a piece of the commission and it's going to be great. Right. Well, starting a team is a huge time investment and time is money. And, you know, I feel like so much of this business is kind of like a chess game and understanding where you move your time and money. And oftentimes I use those synonymously because, you know, we need both. Yeah. Succeed. Yeah, totally. Tell us a little bit about the software now. We were talking a little bit beforehand and how the software you're creating is all about automation and kind of freeing up people's time. So then I'm definitely super interested in. So tell us about what your software does. Well, so something that I have learned in mentoring agents and running the brokerage and going to conferences and meeting people from across the country. Realtors are social beings. Yeah. They are great at meeting people. They're great at forming relationships. They're not good at the back end stuff, but not everyone can afford an assistant. And a lot of people don't have the skill set to really articulate what it is that they're how their process goes, how it's laid out. And the reason is, is they don't have a standard operating procedure for how they transact. They kind of do it on the fly. Yeah. And say, well, every transaction is so unique. But is it because we have the same deadlines? You have the same paperwork that's needed. Hopefully you're getting the same level of customer service to each of your clients. So one thing that I really love about our software, like straight out of the gate from the time that we onboard you is there's several different modules that you go through.

And really what these modules are aimed to do is to build out those SOPs for your listing and buying process from deadlines to communications, to marketing, to gifting. Even we are one of our things is we're really big on building out integrations for all of the different tools and everything that you're using. If you're using something with an open API, our dev teams will actually build a custom integration with that company. We have a priority list based on request, but that's something that we're doing to constantly make our software work better with the tools and everything that agents are already using. We're not trying to... So many of those. Exactly. There is, there is. So for example, we're just finishing a two-way integration with Fellow, which is a home valuation software. And the reason why we're building out a two-way integration with them is they have some really great data enhancement tools where you can look up phone numbers and email addresses and things like that. And it's no, it's not helpful if you get a data enrichment in another software program and then it doesn't update clients in your database. Right. And so we want to make sure that we're working smarter and not harder. So things like that. So we have the transaction management process that is automated as far as deadlines and communications go. We also have an app with DocuSign and a client portal with Dropbox that kind of organizes all of the paperwork for each client as it's completed. And then as far as like the marketing goes, we have some postcard automations set up. We have from the time that people come into the database and that first call is made to them for like your online marketing leads, that call is actually transcribed and sent through chat GPT to determine what type of client it is. Is it a buyer? Is it a seller? Did you set up an appointment on the call? Because if you did, it's going to set the calendar appointment in your system. Nice. If you collect that email address from them over the phone, it's going to save that email address for them in the system so that when you're driving between appointments or at your kid's soccer game and you're taking a call and you don't have a pen and paper and you're like, oh, could you please text me your contact? Yep. You don't have to do that anymore. Just utilizing the smart number in the system will help you collect all that information and make sure that it's setting things off appropriately. So when different types of appointments are made, different types of communications are going to go out as far as reminders or even email communication, preparing them for an inspection. One of my favorite things is once the inspection is complete, the inspection appointment, it's going to send a text to your client saying the inspection is complete. Use the link below to schedule a review of the inspection documents with your agent. And it sends them the next calendar link. So that way you already have your next appointment being booked with your clients to follow up without you having to sit around and wait for it. Nice. So is this a CRM or a plugin to anybody's CRM? It's a CRM. Okay, cool. Although it can sync with other CRMs, it doesn't make sense. Right, you're doubling up. Yeah, cool. Yeah, I like that. It's, there's a lot that, a lot of time people can spend in that, in those rabbit holes of like automating and stuff. And so it is nice when somebody is already creating those for you and kind of setting up a system that they can follow. So that's really cool. Yeah, we, like throughout the onboarding process, they actually order the communications and everything like that. You can actually change the emails that are going to go out. So you get full privileges over that. You can add emails to sequences. And then our software will automatically build those workflows in there for you. Yeah, that's awesome. So I imagine then you would have kind of like a work phone

number that would be integrated with a CRM that then have those automated texts coming from and that you would have like those phone calls, the recording, et cetera, happening through. Yeah, yeah. And so one of the things that I've found in CRM searches and stuff is there seems to be a lot of separation. Like people like prefer maybe to have their personal stuff and their like work stuff separate. And I've kind of always operated off of like, it's all one for me. You know, like all my contacts are just kind of my sphere. So one of the things that I've had to do with some of the CRMs I've worked with is then kind of sync my contacts. And that has to be like through a Zapier or something like that. But that's been one little thing. But I do like the fact that you can have, you could build out, especially if you're doing, I could imagine if you're doing like online lead generation, which is not something I've done much of, that you might feel bombarded with a bunch of people you don't know well. And so like having that separation could be nice until maybe you get them into like that, you know, they're actually an active client. And then, you know, you might use your own phone as well. But yeah, I could see why there's a lot of people that their CRM wants to be very separate from their personal life. I see that. But honestly, I feel like it's a lot misguided. And the reason for that is like those people, those friends and family members are some of your biggest supporters. Oh, absolutely. And sometimes they need reminding that you're an expert in the field that you're in. You're not just the default because you're family. You're default because you're the smartest person they know about real estate. Yeah. You know what I mean? Yeah. And you want them to be shouting your name from the hilltops anytime they hear anybody breathing about moving. Exactly. So for me, like identifying the client type, and we have a lot of automation set up like this, where it's like when you add a lead source, we add it into the workflow, and we say, okay, leads coming from this lead source. What are they? Are they buyers? Are they sellers? Are they so like, for example, we use Google Forms. And so I know that when somebody fills out the buyer Google Form, that they are a buyer. Yeah. And so I think it's just making sure that you're appropriately labeling your contacts. And so, you know, you asked me the question earlier, like, what do you do to stir the pot? Yeah. Well, again, as a part of the onboarding process, and it's available like in our learning center as well as we talk about how to use tags, we talk about how to use the client type, we talk about how to create new opportunities to keep the end filters to be able to find the people that you've communicated with most recently, the newest leads, the how to put them in groups where you know that this is like a warm nurture, like you know that they're going to transact in the next six to 12 months, and they should be on your like bi weekly call list. Right, right. You know. So those are kind of the things that I specify and we use automation to automatically add certain tags when they hit different milestones, so to speak, or have reached out in a certain way. We can automate removal of tags or addition of tags. So that way, we're making sure that our data is constantly staying up to date as well. Yeah, yeah, that's, it's always embarrassing. If, like I have, I have a lender that sends me a happy birthday message every year on the wrong date. And that's why, like, you know, this stuff is great if you have good data, and that's why it's so important to like you have to really work your data, your sphere to make sure that you're getting, you know, you're not doing something like that. Exactly. Yeah. That's cool. What other ways have you used AI to integrate with this system? To integrate into the system. The phone is probably the most impressive right now. The

other ways that we're using it is going to be in reading the transaction documents that part isn't going to be ready for probably the next six months. But we are working on actually being able to extract fields from like the purchase contract and whatnot to update fields in our different transaction files. That's cool. We also use it for, we do have AI like assistance that can help with texting back and things like that when calls come in. It's a last minute, it's like a last ditch effort kind of thing for us to use the AI agents. I prefer human voice. So most of my smart numbers bring to multiple people on my team. Okay. What other ways are we using? I have a market analysis. So I know the smart number thing that you just said to me really quickly, like, so that would, everybody's phone would ring or would it go to like different people at different times? If somebody doesn't answer, then it goes to the next person. I can set it up either way, actually. So that would be round robin. It was going to go around the circle. Um, usually it just rings to everybody all at the same time. So the first person that picks it up, that's my preference because then you don't have somebody sitting on the phone thinking that nobody's going to pick up the phone. Two minutes. Yeah, that makes sense. That's cool. Yeah, that makes sense. And obviously having somebody answer is the best option. Yeah. That's the number that I use on every single marketing piece. If you look on Google, it's going to be my smart number. If you look on anything, um, being a woman in this industry, I stopped putting my phone number out there a little while ago. Sure. Um, and that's been helpful. Yeah, no, that's, that's great. And that's one of the beauties too, of, of having something, uh, a number in a CRM that's not, you know, your personal number. Um, sorry, then I interrupted you about, you were saying something else. Um, I can't remember what it was now. Um, oh, we also use AI for a market analysis each month. So, um, I used a prompt that uses data from like, what's going on with the fed and news and whatnot to, um, help give insight as to the factors that are affecting our local marketplace currently. Oh, that's cool. Yeah. I think, I think, uh, anybody listening to this, that isn't using AI much. Um, I think it's just really important to start, uh, just, I heard somebody say, put a sticky note on your desk that says, how can I have AI do this? Um, or how can I use AI? And, and it's just really about figuring it out. Like if you haven't, you don't even have to figure it out. Ask, ask chat GPT why you're using it. The point is that you have to actually like use it. Like you have to be, uh, constantly trying to engage it because if you're not, then you may not think, oh, oh, this could be done by a chat GPT. Cause like, once you start, you know, using it for more and more things, it just becomes like obvious, like, oh yeah, that's something I'm definitely going to have chat GPT do. Um, my personal favorite right now, uh, this is really small, but one thing that's been pretty impactful is, you know, I have a Mac and Apple intelligence is kind of built in or whatever. Um, what I did was I, uh, made keyboard shortcuts for a proofreading and for a rewriting so that wherever I'm in, in my Mac, um, if I'm writing something, I can just kind of word vomit and just like get something out there that's not that clear, but it has the key points in it and then boom rewrite. And it's perfect. And that can be in a text message or that can be in an email. My email has built an AI too, but, but yeah, it's, that's been, that's been really nice, uh, to just kind of be more effective of a communicator. Cause I think, you know, often through when you're not on the phone, I mean, the way you communicate is very, very key. Absolutely. I, um, one thing that I did for my team is I built a custom Jack, uh, GPT for role playing with them, which is so easy to do.

Honestly, it's not rocket science, but, um, the thing I like about it is I built in like randomized questions for it. Um, and the reason why I love utilizing this tool. And so like on my agent's weekly check-in sheet, one of the questions is how many times did you use the chat GPT module this week? And the point is, is they'll come up with a scenario, they present it and you need to respond. And then it's going to give you advice on like what you did well, where you can improve and what the perfect answer would be. That's cool. And, um, I pro I trained it using Tom Ferry and Phil Jones language. Okay. Um, yeah, that's awesome. And it goes really, really nice. And so, and I really, you could do like the voice to text for it, or even just do the voice role play with it. But honestly, I prefer people doing the written version because I find that when you sit down and write and you're really thinking about it, your brain makes deeper lasting changes than if you're just to talk, you start thinking about the cadence and how you want to put these different words together, um, in a more thoughtful way that I feel like can stick and become more of a script. Yeah. Yeah. I love that. That's awesome. Um, I do have some, I have some questions about like, uh, if you have any golden nuggets for real estate agents, uh, that maybe are getting started or, um, have been at it for a while. I mean, is there anything that comes to mind that you'd want to share? Ask for the business, start with your sphere and ask for the business. Don't be shy to say, do you know anyone that's thinking of buying or selling this year? Okay. I love it. And is that, would you recommend going by calling, uh, emails? What, what's the best route for, for doing that? Um, I think for newer agents also honestly being like face to face with people, like throughout your day to day life, that's going to be your best bet. Um, I don't think newer agents have the skills on the phone to fully convert. I think that's a skill that's acquired over time, which is absolutely something you should work on, but do a month of my chat GPT bot first and then go and talk on the phone. Um, cool. Ask for it, like get involved with the community and ask for it. Yeah, no, that's great. I love it. Um, what about any books that you'd recommend? Do you have any favorite books that are fundamental for everybody to read or ones that you're currently enjoying? Yeah, I, I am a serial reader, so I am constantly picking up new tips and tricks. I think pertaining to this conversation, um, Dan Martell's book, buy back your time. Um, that really focuses on making sure that the activities that you're putting the most time into activities that only you can do. So in real estate, that's making the sales. You should be in phase showing homes. You should not be organizing your paperwork and spending hours on doing that when you could be out going and finding your next transaction. Yeah, no, that's awesome. Um, and, and like you were saying, like, you know, with your CRM, um, there's some of those automations, like if, if you're doing it yourself, it takes a lot of time. And that might be, again, where you can buy back your time by having somebody else do it by using your software. Um, but yeah, what a great way to free up, um, bandwidth too, is to automate a lot of the things that are just kind of repetitive. Yeah, absolutely. I'll, um, I'll send you my link tree to put in the description that has information on both my software, but it also has, um, access to our chat GPT module. So if anybody wants to give it a shot and try and sharpen their skills, um, it's there for you to use. Oh, that's awesome. Thank you. And that was going to be my next question is, is what's the best way to reach out to you or find more information about this stuff? Yeah, absolutely. Um, use that link. It's got all of my contact information, my social handles, um, and information on our, on our software.

Cool. Awesome. Well, I really appreciate your time. This has been a fun conversation. Yeah, absolutely. Thanks so much for having me.

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whatsapp api role in e-commerce