AI Employees:
Understanding and
Implementing Human-
Like AI Agents

Introduction

The Evolution of AI Technology

I’m David Yang, co-founder of Newo.ai. Today, I’m excited to introduce you to a groundbreaking innovation – AI employees, or what we also call Digital Employees. With a Ph.D. in Artificial Intelligence and more than 30 years in the field, I’ve seen AI evolve dramatically. Just four years ago, we worked with models with only 90 million parameters and context windows of a mere 100 tokens. Today, we’re in a new era of AI, where the capabilities are beyond what we could have imagined.

Understanding AI Employees vs AI Agents

People often ask me, “What’s the difference between AI employees and AI agents?” Let me clarify this through a hierarchical perspective:

1. At the top level, we have AI technologies — a vast domain that includes all forms of artificial intelligence. Imagine this as the largest circle, encapsulating every capability AI offers.
2. Within this circle, there’s a smaller subset called Agentic Systems (AI agents). These systems make AI technology “stateful”, giving them the ability to:
   • Produce output and receive input
   • Maintain memory
   • Work toward specific goals
   • Continuously interact with the external environment

   Think of these as chatbots or similar systems capable of communicating in the environment.

3. AI employees (or digital employees) represent an elite class within agentic systems. They are distinguished by their human-like workplace interfaces, which means they can:
   • Make and receive calls
   • Handle SMS, email, Slack and other corporate communications
   • They must be capable of retrieving data from corporate systems and writing data back, even if these are legacy systems without APIs. This includes CRM, ERP, practice management systems, Google Sheets, Calendars, and more.
   • To assign a task, a manager doesn’t need to know programming. It’s enough for them to describe the task in plain, human language.

In this case, such technologies can be “hired” rather than “integrated.”

The Business Impact of AI Employees

AI employees redefine how we work. These technologies can be “hired” rather than integrated. Historically, businesses have relied on human intermediaries to communicate with the outside world — from medieval town markets to modern call centers. These individuals handle sales, services, consulting, and customer inquiries.

Now, in 2024, technology has reached a level of sophistication where it can effectively support humanity and businesses by:

• Managing inbound calls and inquiries, ensuring no customer communication is left unaddressed
• Converting interactions into deals and leads, enhancing sales efficiency
• Scheduling bookings and appointments, streamlining operations
• Providing comprehensive customer service, offering personalized experiences at scale

This represents an enormous opportunity for:

• Integrators looking to implement these technologies for their clients
• Service providers who can offer value-added services around AI deployment
• Organizations of all sizes, from startups to multinational corporations
• Single and multi-location businesses, enabling bespoke solutions to local and global needs

The potential impact spans hundreds of millions of organizations and individuals servicing business clients globally.

Key Characteristics of AI Employees

The Four Pillars of AI Employee Capability

Let’s dive into a more rigorous definition of AI employee or Digital Employees. We identify four key elements that distinguish AI employee-class agents from regular agents:

1. Omnichannel Communication

This is an agent’s ability to communicate with a single individual through multiple channels while maintaining context. Imagine an AI that recognizes that David Yang chatting on the website is the same David Yang who:

• Emails through different providers (Gmail, Yahoo)
• Calls from various numbers (hotel, personal cell)
• Messages through different platforms, the AI maintains a unified memory of interactions across all these touchpoints, understanding David’s interests and continuing conversations seamlessly across channels.

2. Omniflow Capabilities

While single-task agents can be useful, true AI employees must handle complex workflows similar to those of their human counterparts. For example, in a medical clinic, when Rachel (a human receptionist) resigns, the AI must manage:

• Appointment scheduling and management
• Cancellations and rescheduling
• Note-taking and message relay
• Urgent communications
• Information requests
• Reminder systems

The AI must handle the majority of tasks in a typical job description to qualify as an AI employee rather than a simple agent.

3. Omniuser Interaction

Real-world scenarios often require simultaneous interaction not only in a 1-on-1 mode but also in a 1-to-many mode. Consider these situations:

• A couple planning their child’s birthday party at a restaurant
• Family members coordinating travel arrangements
• Multiple clients booking a group spa visit

The AI must maintain individual memories for each user while managing group dynamics and shared contexts within a single conversation.

4. Physical Presence Integration

AI must bridge the digital and physical worlds for businesses with physical locations. This means:

• Managing in-person communications
• Maintaining continuity between digital and physical interactions
• Recognizing and greeting clients who previously communicated digitally
• Seamlessly transitioning between online and offline interactions

Example: “Welcome back, John! We talked two hours ago. Your infrared sauna is ready.”

What Makes These Elements Critical

These four elements transform a basic AI agent into an AI employee by enabling it to:

• Maintain consistent communication across all channels
• Handle complex, multi-step workflows
• Manage relationships with multiple users simultaneously
• Bridge the gap between digital and physical interactions

Only when an AI agent possesses all four of these capabilities can it truly be considered an AI employee or digital employee. This comprehensive approach allows the AI to effectively substitute for human employees in various business contexts while maintaining the quality and continuity of service that customers expect.

Differences from Traditional Automation and Why It Matters

The Traditional Automation Challenge

Let’s explore what makes AI employees fundamentally different from conventional automation and why this distinction is crucial. Consider these six critical aspects of traditional technology implementation:

1. Business Process Impact

Do you need to change your existing business processes? Yes. Remember implementing a CRM or ERP system? It typically requires:

• New instructions
• New login procedures
• Multiple training meetings
• Often faces employee resistance

2. Infrastructure Requirements

Do you need to modify your IT infrastructure? Yes. Traditional automation usually requires:

• Hardware upgrades
• System modifications
• New technical configurations

3. Training Investment

Do you need to train your employees? Yes. Extensive training is typically required for all staff members.

4. Implementation Timeline

How long does implementation take? Months, sometimes years:

• Large organizations: Often 2+ years
• Small organizations: Several months for basic CRM deployment

5. Cost Structure

What’s the implementation cost? Substantial investment required:

• Large organizations: Millions of dollars
• Small organizations: Significant budget allocation

6. Technical Expertise

Do you need specialized talent? Yes. You need:

• Project owners
• System architects
• Integration specialists
• Technical leads

The AI Employee Advantage

Now, let’s contrast this with AI employee deployment:

1. Process Adaptation

AI employees adapt to your existing processes:

• No process changes required
• Works within established workflows
• Adjusts to current business rules

Example: A three-location dental clinic can maintain its existing process where new patients are entered into Google Sheets while existing patients go directly into the PMS system. The AI adapts to this workflow rather than forcing change.

2. Infrastructure Compatibility

• Uses existing systems
• No hardware changes needed
• Works with current software

3. Minimal Training Requirements

• No staff training needed
• Mimics current human employee processes
• Natural integration into existing teams

4. Rapid Deployment

Implementation timeframe similar to hiring a human:

• Small businesses: Hours to days
• Complex operations: A few weeks maximum

5. Cost-Effective Solution

• Minimal upfront investment
• Subscription-based pricing
• ROI visible within the first month

6. Simplified Management

• No technical project owner is needed
• No system architect is required
• Managed like a human employee

“Hired” Rather Than “Integrated”

The fundamental difference is that AI employees can be “hired” rather than “integrated.” This distinction dramatically reduces:

• Implementation complexity
• Resource requirements
• Time to value
• Technical barriers

This approach allows businesses to focus on outcomes rather than technology implementation, making AI employees accessible to organizations of all sizes and technical capabilities.

Business Applications: Who Are AI Employees Created For?

Target Job Positions

Now let’s talk about who the target customer is for AI employee class technology – the most scalable, the most advanced technology. We’re definitely talking about entry-level job positions first.

What positions are we looking at? Here they are:

• Receptionists and hosts
• Concierge services
• Sales representatives and SDRs
• Appointment center staff
• Support and customer success teams

These roles exist virtually at any organization – even when we’re talking about solopreneurs, individuals who are delivering their own services. Someone should set appointments, share purchase links, and answer basic questions: when, where, service descriptions, prices, availability – someone should do that.

Business Scale Categories

Let’s look at how different businesses of different sizes can benefit from AI employees.

Solopreneurs and Individual Practitioners:

If you’re a massage therapist, content designer, or photographer, your phone goes unanswered when you’re at work. When you return voicemails, 50-90% of your customers are already gone. You’re missing opportunities during non-working hours, and that’s where AI can help.

Single-Location Businesses:

You’ll be surprised how many calls come in during non-working hours – sometimes 20-40% of all leads happen after 7 PM, 9 PM, before 11 AM, or even before 7 AM. In many cases, a lot of leads come in on Sunday night or Saturday night during non-working days. You’re losing these opportunities with just a human receptionist working 40 hours per week.

Multi-Location Businesses and Franchises:

The challenge scales up. Even with a dedicated call center, you’re still missing calls. If you’re lucky enough to have an overseas cost-effective 24/7 call center, you might think you’re not losing calls, but statistics show otherwise. Let me tell you about this bottom-up and top-down approach when managing your multi-location business chain with a dedicated call center.

Call Centers:

Deploying AI employee class receptionists and sales representatives will increase your sales top line by at least 15-20%, sometimes more. The ability to handle concurrent calls, work 24/7, and maintain consistent service quality makes AI employees particularly valuable in call center operations.

It’s weird, right? They called you. They left a message: “I need this, I need that, I need my private event to happen next Sunday.” They wanted your service or product. But when you return their call after work, no one answers. Why? Because in the majority of cases, it was an emotional purchase or a time-sensitive need – they’ve already found someone else.

Target Industries

Let’s talk about the industries where we’re seeing the fastest growth.

Medical Organizations

We’re seeing tremendous adoption in medical organizations – orthodontic practices, dental offices, and urgent care centers are leading the way. They’re dealing with time-sensitive appointments and need 24/7 availability for patient inquiries.

Hospitality and Restaurants

The hospitality industry isn’t just testing—they’re transforming. Hotels especially, because they’ve been using the previous generation of smart answering technologies already. Restaurants are seeing amazing results – I’ll share specific numbers when discussing ROI.

Service Industries

We’re seeing very, very fast growth in HVAC and plumbing services. Why? Because tens of thousands of organizations serve across the US nation and hundreds of thousands of individual practitioners. Cleaning services follow the same pattern – tens of thousands of organizations and hundreds of thousands of individuals help clean residential and office spaces.

Professional Services

SPOS, real estate, legal, and financial services are all growing sectors. For some reason, they came a little bit later, but it’s obvious that these industries will keep up and catch up and start growing very fast as well.

Personal Care

Therapists, Massage, Nail, and Hair Beauty services are also growing. The need for 24/7 appointment scheduling and inquiry handling is driving adoption in these personal service industries.

Digital Content and Retail

There’s a significant class of individuals and companies selling digital assets – all kinds of courses, training, webinars, and advance tickets. These creators and influencers are entrepreneurs who need to engage their audience and answer questions to drive purchases. For example, we have a partner, CopeCart, one of the leading platforms serving digital influencers, which recently implemented our AI receptionist for their 300,000 subscribers.

Return on Investment (ROI) and Additional Secured Revenue (ASR)

Let’s discuss whether it’s really economically feasible and beneficial to implement AI employees. You can make your assessment based on two key comparisons.

Cost Comparison

• AI employee: on average $8,000 per year, based on call volume and messages
• Human Employee: $50,000-$70,000, plus benefits and taxes
• AI is 10-20 times more economical

But here’s what’s even more important – let’s focus on the top line rather than just savings.

Revenue Generation Potential

Your AI employee becomes a profit center because it:

• Works 24/7 (nights, early mornings, late evenings)
• Handles multiple concurrent calls during rush hours
• Takes weekend calls
• Never needs breaks or time off

Real-World Case Studies: Let me show you some real numbers (I’ll cross out names and addresses, of course).

Restaurant Case Study

• Location: Menlo Park, CA
• Previously lost 1-2 table bookings before 11 AM
• Missed calls between 3-5 PM during staff breaks
• Lost 2-3 concurrent calls during the 6-7 PM rush hour
• Total: Average 6 table bookings lost per day
• Calculation: 180 bookings/month × $132 average check × 12 months = $285,600 additional secured revenue per year

Orthodontics Case Study

• Location: 41 clinics in California
• $40,000 per month additional revenue per location
• 90% attendance rate
• 6-7% conversion to purchase
• One chain calculated $14 million in additional revenue across several locations

Additional Secured Revenue (ASR) Metrics:

• Average range: $8,000-$30,000 per location per month
• Some locations reach a quarter to half a million additional revenue per year
• ROI: AI subscription cost ($500/month) generates 20-30 times more in revenue
• Previously lost revenue is now captured through 24/7 availability

The numbers might sound unbelievable – a quarter-million dollars per year in additional revenue? But I can show you the calculations, line by line. It’s all about capturing those previously lost opportunities during non-working hours, handling overflow calls, and maintaining consistent service quality around the clock.

Implementation Strategy

Let me tell you how to implement AI employees in your business effectively. While we’re very much proponents of human touch and human communication at work – nothing is more valuable, inspiring, and warm than talking to a human – there’s a reality we need to address.
Current Challenges: There are 11 million vacant entry-level job positions in the U.S. alone. We’re in trouble, both businesses and customers. Let’s be honest – humans can’t afford to stay long at jobs paying $22 per hour; we consider them temporary positions. We’re always looking for something else, ready to switch when a better opportunity comes along. The turnover is extremely high – twice a year on average, every four to six months.

Here’s how to implement AI employees effectively:

Non-Working Hours Coverage

Start with using AI employees during times when your human staff isn’t available:

• Early morning calls (before 7-8 AM)
• Late evening inquiries (after 7-9 PM)
• Weekend coverage
• Holiday coverage This is where you’re currently losing 20-40% of your leads – they’re calling during these off-hours, and you’re missing them completely.

Overflow Call Handling

Think about those peak hours when your human staff is overwhelmed:

• During rush hours (like 6-7 PM at restaurants)
• When multiple calls come in simultaneously
• When your staff is busy with in-person customers, your AI employee can handle multiple concurrent calls, ensuring no inquiry goes unanswered after the second or third ring.

Integration with Human Workforce: Here’s the beautiful part – we created this AI employee technology to allow humans to do their work better. It’s not about replacement; it’s about enhancement:

• Let AI handle basic inquiries (when, where, prices, availability)
• Free up your human staff to focus on complex interactions
• Use AI for initial screening and data collection
• Allow your human employees to focus on what they do best – providing that warm, personal touch

Direct Transfer Strategy

We very much recommend that our customers start with non-working hours coverage plus overflow handling during rush hours to perfect and fine-tune their newborn AI employee.

Then, you will decide to start direct transfer.

Remember, we’re not trying to replace your human employees – we’re helping them work better by ensuring no opportunity is missed. Your human touch remains the heart of your business, while AI handles the times and situations when humans simply can’t be there.

Technical Implementation

Introduction to Technical Implementation

Let’s talk about the technical aspects and implementations of AI employees. Many people ask me, “David, there are so many platforms where we can create AI agents – which one should we choose?”

Newo.ai Platform Differentiators

Our platform isn’t creating its own LLMs – that’s not our focus. We provide you with an out-of-the-box, simple, and nicely designed experience for connecting your AI agent to the physical world.

We give you four major differentiators: OmniChannel, OmniFlow, and OmniUser with physical presence – all aspects that convert your AI agent into an AI employee class of agent. These features are accessible through our new builder right out of the box.

Obviously, our platform, Newo.ai, utilizes all the best-in-class LLMs: OpenAI, Anthropic, Llama Grog, and Gemini – all top-tier models are available. So, if you’re a professional engineer working on AI automation, these are the tools you’ll use.

Real-World Implementation Challenges

Let me share a real case study. If you tried to create an AI host for a restaurant using a general-purpose AI agent platform, could you do it? Yes, you could. But how long would it take?

When we started this journey almost five years ago, even last summer (2023), our internal estimate was that based on any reasonable agentic platform, we could create an AI agent for a restaurant in a month. Some engineers said, “Give me two weeks” or “Give me a week.” More experienced engineers were confident they could do it faster. But here’s the reality: you might create a prototype quickly, but testing and refinement would take at least another three weeks.

Do you know how long it took us to make a robust, production-level AI host? A year, with ten people, and even then, our first simple restaurant implementation wasn’t perfect.

You might ask, “Why did it take so long? You have 30 years of experience in AI, a PhD, and you’ve been working with your team for 10 years!”

By the way, check out “The Most Extraordinary House in Silicon Valley, Dr David Yang” on YouTube to see our robotics work with RoboDogs, Abigail and Leo, and our six moving walls with human-like, emotional AI morphias.

The Devil in the Details

Let me break down why it’s so complex:

1. Booking System Intricacies
   • Simple booking might take a week to implement
   • But people speak differently: some slowly, some fast
   • Background noise and children’s interference
   • Changing minds mid-booking
   • Various booking system requirements (phone, email, two-factor authentication)
2. Large Group Reservations
   • Lead time considerations
   • Different protocols for immediate vs future bookings
   • Special manager approval requirements
   • Menu preferences and equipment needs
   • Corporate event specifications
3. Additional Complexities
   • Private dining arrangements
   • Catering services and service areas
   • Lost items handling
   • Dynamic parking situations
   • Emergency complaints
   • Vendor communications
   • Spam filtering

Our initial estimate was off by a factor of 100. We thought one or two people could create an AI host using advanced technologies like Langchain, AutoGPT, or OpenAI’s Assistant API in a month. We failed miserably. Fortunately, our first restaurant owners were my friends, so they just said, “Come back in six months when your AI host is ready.”

Technical Challenges: Date and Time Calculations

One surprising challenge was the date and time calculations. Our AI agents, as sophisticated as they are, sometimes struggle with simple date calculations. They might get confused about “next Sunday” or “in half an hour.” While they’re correct 90% of the time, that’s not good enough for production use. We consider “stable” to mean one mistake out of 100, but initially, we saw errors in 5-10% of cases.

Platform Selection and Implementation Strategy

If you’ve decided to create an AI employee class of agent, you have options:

1. Use general-purpose agentic platforms: takes 2-6 months to reach production-ready state
2. Consider platforms with built-in phone and verbal communication capabilities: takes 4-8 weeks to reach production-ready state
3. Use specialized AI employee builders like Newo.ai: takes 2-8 hours to reach production-ready state

Remember, connecting a phone isn’t enough. You need integration with:

• Calendars
• Emails
• Instagram
• WhatsApp
• Slack
• Microsoft Teams

Recently, Newo.ai announced a creator component that builds agents automatically. You just provide the URL of your target business or find it on Google Maps, and our system creates a basic experience in three minutes. This combines with our builder platform for ongoing improvements and customization.

Finally, Newo.ai platform includes proprietary technologies like magic browser and magic API integrations, allowing AI agents to work with legacy systems through browser window understanding and keyboard/mouse action imitation. This enables seamless integration with existing booking systems and CRMs, even without technical APIs.

Platform Selection Considerations

When choosing a platform for AI employee development, you face a strategic decision. You can use general-purpose AI agent platforms, but remember what I mentioned earlier – it could take months to reach a production-ready state.

Let’s talk about deployment costs. Ideally, you don’t want to charge for deployment, or at least you want to limit these charges. Why? Because otherwise, your sales cycle will go on forever. You want to deliver something free of charge, quickly – those low-hanging fruits that create an immediate “wow” effect. You don’t want to tell your potential customer, “Just give me $20,000 for professional services, and I’ll show you something in two months.”

Integration requirements are another crucial consideration. You need to connect:

• Phone systems
• Calendars
• Emails
• Social media (particularly Instagram, where many leads come from)
• WhatsApp
• Slack and Microsoft Teams
• And potentially many other communication channels

Newo.ai – Human-like AI Employee Builder

Newo.ai Three Architectural Layers: 1-Click, No-Code, Low-Code

The Newo.ai platform enables users of any technical level to create and modify human-like AI agents through three distinct layers:

1-Click (A-Level)

This is designed for business owners and non-technical partners. You can customize AI employees built on Newo.ai simply through parameter settings. Nearly 90% of all necessary changes can be made without even opening Newo Builder. This includes:

• Product and service settings
• Pricing adjustments
• Working hours
• Email addresses and phones for escalation
• Message routing

For example, you can easily set up complex rules like: “During business hours, emergency calls should be forwarded to phone XXX, while after hours, send an SMS to number YYY, and in either case, send an email summary with the transcript to address ZZZ” – all without touching the builder.

No-Code (B-Level)

At this level, you provide instructions in natural language. People without technical education (including high school students and humanities majors) can master this level in just a few days. You can modify:

• Specific conversation scenarios
• Order calculation methods
• Lead form field requirements
• Slot availability checking timing
• SMS sending triggers

This is where you define your AI employee’s job description through workflow and workflow steps for all your business processes.

Low-Code (C-Level)

This is the deepest level of the system, where you can:

• Implement any creative AI automation ideas
• Create complex asynchronous integrations with the external world
• Mix data from various parts of reasoning and memory of one or multiple personas (both human and agent)

A programmer with 2-3 years of experience can master this level in 1-2 weeks. It provides ultimate flexibility while maintaining the ease of use that characterizes our platform.

Each layer builds upon the previous one, creating a comprehensive system that can handle everything from simple customizations to complex integrations – all while maintaining the human-like interaction that defines our AI employees.

Advanced Platform Features and Architecture

Let me walk you through some really cool features we’ve packed into Newo.ai. Trust me, this is where it gets exciting!

Integration and Communication Capabilities

You know how everyone talks about integration these days? Well, we’ve gone all in. We’ve got everything hooked up:

• Phone lines? Check.
• SMS systems? Absolutely.
• Webhooks? You bet. And here’s the cherry on top – we’ve got this amazing thing called NeoRAI (Retrieval Augmented Instructions). Yeah, it’s patented, and yeah, it’s as cool as it sounds!

Sophisticated Analysis and Logging

Here’s something that blows my mind every time I think about it – we analyze EVERYTHING. I mean everything:

• Every single turn in a conversation
• Every response from both agent and user
• Every little interaction

Why do we go to all this trouble? Because it helps us make the system:

• Lightning fast (bye-bye, latency!)
• Super accurate (no more random hallucinations)
• Rock-solid stable
• Predictable as your morning coffee

The Persona-Actor Architecture

Now, this next part? This is my baby. It’s what makes our agents true “AI employees” instead of just chatbots with a fancy name. We call it the persona-actor separation, and let me tell you how it works.

Think about your friend Michael (or maybe you’re Michael – hi, Michael!). In our system, Michael is a persona – a real person. But here’s where it gets interesting. Michael might talk to us through:

• His home phone (maybe late at night)
• Work phone (during those long office hours)
• Mobile (probably while grabbing coffee)
• SMS (when he’s in a meeting)
• Email (for those detailed conversations)
• Live chat (when he’s browsing the website)

The cool part? Each of these “actors” keeps its own memory of conversations, but – and this is the magic part – our platform can mix and match these memories when needed. So if Michael calls us, switches to SMS, and shoots us an email, we remember everything! It’s like having a personal assistant with an incredible memory.

Advanced Speech Processing

Let’s talk about something we all struggle with – you know that awkward moment when you start talking, and the other person isn’t actually finished? Even humans mess this up all the time!

We’ve cracked this nut with some pretty clever tech. Our system is constantly watching for those natural pause points, but here’s the clever bit – we don’t wait around twiddling our thumbs. When we think someone’s done talking, we start cooking up a response. But if they keep going? No problem! We can stop mid-thought and start over, just like a human would.

Business Portal vs Builder

We’ve got two main ways to interact with our system, and trust me, we’ve thought this through carefully.

There’s the Builder – that’s where all the techie stuff happens. But here’s the thing – if you’re a business user, you probably never need to see it. It’s like the engine room of a cruise ship – it’s important, but passengers don’t need to visit!

Instead, we’ve got this beautiful Business Portal. This is where the magic happens for everyone else. Whether you’re the boss, a manager, or someone who’s just “hired” our AI employee, you get this gorgeous dashboard with:

• All your conversations are laid out nice and clear
• Quick summaries (because who has time to read everything?)
• Reports showing how much extra money you’re making
• These really sweet charts show all sorts of useful stuff like:
  • How many new customers you’re getting
  • Who’s coming back for more
  • For restaurants, all your bookings and cancellations
  • All that good stuff!

And get this – we’ve even hooked it up to Google Sheets! Everything lands there automatically, so you can:

• Add your own notes
• Copy stuff around
• Link things together
• Set up your own automation if you’re feeling fancy

Outbound Communications

Here’s something really cool – our digital receptionists don’t just sit around waiting for the phone to ring. They can reach out too!

It’s super simple:

1. Just give them a spreadsheet with the basics:
   • Who to call
   • When to call them
   • What to ask
2. Hit the magic “start” button
3. Then sit back and watch them go!

They’ll make calls, send messages, chat with people like a pro, gather all the necessary info, and even invite folks to your events. And if someone doesn’t pick up? No worries – they’ll try again later, as many times as you want them to.

But here’s my favorite part – the omnichannel magic. Your AI employee can:

1. Start with a friendly SMS
2. Follow up with a call if needed
3. Wrap it all up with a nice email

It’s like having the world’s most persistent (but never annoying) assistant who never gets tired and always knows exactly what to do next!

Pretty cool, right? This is what happens when you really think through how people actually communicate in the real world!

Newo.ai Creator Solution: 3-Minute Agent Creation

This is where I’m particularly proud of what we’ve achieved — we announced our creator component – a specific part of our platform that creates agents automatically. How does it work? You simply provide the URL of your target business or find the business on Google Maps.

Our creator – a set of agents built on our platform – learns and processes all available information from the internet. It then creates your basic experience right away in just three minutes. When we first accomplished this, we could hardly believe how elegant the solution was!

The beauty of our approach lies in its dual nature:

1. The Creator part builds a sophisticated, production-level agent in three minutes
2. The Builder platform allows for continuous improvement and complex modifications

Newo.ai Magic Browser Integration: Accessing Work Data Without API

One crucial element I want to emphasize is the ability to interact with browsers. When creating an AI employee, communication channels like phone, SMS, email, and calendars are important – but you also need to empower your AI agent to work with existing software, including legacy CRM and booking systems that might not have technical APIs.

Our proprietary technologies – magic browser and magic API integrations – allow the AI to:

• Understand browser window content
• Simulate keyboard and mouse actions
• Interact with legacy systems
• Create bookings in existing systems without direct API access

Additional Features

You’ll get access to a comprehensive platform where you can:

• Listen to all voice recordings
• Review transcripts and call summaries
• Monitor the category and type of calls
• Additional Secured Revenue (ASR) reports

AI Employee Implementation

Let’s talk about how you hire your AI employee. As I mentioned before, AI employees are hired rather than integrated – they don’t require changes to your existing software or business processes, and you don’t need to train your human employees.

Implementation Process: Five Simple Steps

Step 1: Finding Your Business

It’s very straightforward – you’ll see a field where you can enter your business URL or find your business on Google Maps. Either option works perfectly fine.

Step 2: Automated Learning Phase

This is where the magic happens! Once you click “train,” our creator platform starts learning about your business from public information. It’s fascinating to watch – in about 100-120 seconds, it:

• Understands your business name
• Identifies if you’re single or multi-location
• Captures physical address and working hours
• Learns about your products and services
• Analyzes everything available on your website or Google Maps

Step 3: AI Employee Creation

Now it gets really interesting. You’ll enter your basic information – email, phone number, and name. Whether you’re the business owner creating an AI receptionist for yourself or a service partner creating it for a client, this information helps our platform:

• Create your account
• Generate a complete multi-agent system
• Set up parallel flows, thinking processes, controllers, and auditors
• Establish control mechanisms for optimizing speed and reducing latency

The system essentially creates itself in about another 100 seconds!

Step 4: Initial Testing

Here’s where it gets exciting – you’ll receive a phone number, ideally in your business’s area code. This is your moment of truth! Simply pick up your phone and call this number, pretending to be a customer. The AI adapts based on your industry:

For a restaurant, your AI host will:

• Ask about table booking times
• Check the number of people
• Search for open slots
• Actually book the table!

For a cleaning service, it will discuss:

• Frequency (weekly, bi-weekly)
• Number of bedrooms and bathrooms
• Provide estimates

For medical spas or orthodontics, you’ll get a specialized AI receptionist familiar with those services.

Even for industries we haven’t specifically tailored, you’ll get a capable generic AI receptionist who can describe your services and handle appointment setting.

Step 5: Final Setup with Human Expert

This is where we perfect everything. You’ll meet with our human AI expert, who will:

• Help with final adjustments
• Set up service area specifications (like HVAC zip codes)
• Handle integrations with your service management systems
• Configure call transfer options (non-working hours, overflow calls, or full transfer)

Cost Structure

The pricing is quite straightforward and consumption-based:

• One unit = one 3-minute call
• Small plan: $99/month for up to 60 calls/month
• Corporate plan: More economical for 600+ calls/month

Subscription options:

• Annual commitment: $99/month
• No commitment: $119/month with freedom to cancel anytime
• Special promotions: Watch for free trial periods and onboarding bonuses!

You can make changes yourself or work with an AI professional for future modifications. Step by step, your AI employee will become an invaluable member of your human business team.