FOUNDER OF MIRAJ AI SYSTEMS

Stop Losing Revenue to Missed Calls.

We engineer 24/7 Intelligent Voice Infrastructure and AI Automation system for HVAC, Plumbing & Local Service Businesses. Capture 100% of your leads, automate dispatching, and book jobs while you sleep.

Features

Services We Provide

1️⃣ 24/7 Intelligent AI Receptionist (Inbound)

Stop losing revenue to missed calls.

Your phone rings while you are on a job site. You can’t pick up. That customer calls your competitor. We fix this immediately.
Our AI Receptionist answers every call in <1 second, 24/7/365. It doesn’t just take messages—it does the work.

✅ Zero Hold Times: Handles multiple calls simultaneously.
✅ Smart Triage: Distinguishes between “Emergency Repairs” and “Routine Maintenance.”
✅ Instant Booking: Checks your live calendar and books the job directly.
✅ CRM Sync: Updates Airtable, Google sheets, or Hubspot instantly.

Result: 100% Answer Rate & More Booked Jobs.

2️⃣ The "Revenue Generator" (Outbound)

Turn your “dead leads” into booked jobs.

You have hundreds of leads who got a quote but never booked, or past clients due for a tune-up. Our AI calls them for you.
It acts as a relentless Sales Development Rep (SDR) that works for pennies, filling your schedule during slow seasons.

✅ Quote Follow-up: Automatically calls leads who haven’t signed yet.
✅ Database Reactivation: Calls past clients to book seasonal maintenance.
✅ Speed-to-Lead: Calls new web-form leads within 30 seconds of submission.
✅ Human Handoff: Transfers hot leads directly to your sales team.

Result: Instant Cash Flow form Old Leads.

3️⃣ The "Infrastructure" (Custom AI Automation)

Eliminate 20+ hours of manual admin work, save time and cut costs.

Every business has unique bottlenecks. We architect custom backend workflows to automate the boring, repetitive tasks that slow you down.
Whether it’s invoicing, onboarding, or complex data routing, if you can imagine it, we can automate it.

✅ Workflow Orchestration: Custom n8n & Make.com logic.
✅ Client Onboarding: Send contracts, invoices, and welcome packets automatically.
✅ Platform Integration: Connect your CRM, Accounting, and Dispatch software.
CRM Optimization: Full funnel and pipeline architecture.

Result: A Business That Runs on Autopilot.

The Path to Success

The Engineering Roadmap

1. The "Missed Call" Audit

We don’t guess. We analyze your call logs, listen to past voicemails, and calculate exactly how much revenue you are losing. We map out your specific pricing, service area, and dispatch logic.

2. Custom Architecture & Build

We engineer your Voice AI Agent from the ground up using Vapi and n8n. We integrate it directly with your CRM (ServiceTitan/GHL) and Calendar so it acts as a seamless extension of your team.

3. The "Red Team" Stress Test

 Before we go live, we try to break it. We test the AI against heavy accents, background noise, and interruptions to ensure it performs flawlessly under pressure. We do not launch until it is perfect.

4. Go Live & Revenue Monitoring

We flip the switch. Your AI starts answering calls instantly. We monitor the logs daily, tweaking the script and logic to maximize your booking rate and ROI.

  Specialized Voice AI Architecture

Meet Your Lead Architect

Built on Robust, Enterprise-Grade Infrastructure.

We don’t rely on cheap templates or unstable software. We engineer your Voice AI Agent using the same industry-leading technology used by Fortune 500 companies.

This ensures your system handles thousands of calls, maintains 99.9% uptime, and integrates seamlessly with your existing CRM (ServiceTitan, Housecall Pro, HubSpot).

Lead Voice AI Architect

Miraj AI Systems (2024 – Present)

Engineering custom Voice AI infrastructure for Home Service businesses. Specializing in Vapi & n8n orchestration to eliminate missed calls.

Founder — 10xcube

Marketing Agency ( Jan 2022 – 2024 )

Built 10xcube from the ground up, providing Digital Marketing, Meta Ads, and Social Media Management. Helped clients generate consistent leads, optimize sales funnels, and automate key business processes.

Meta Ads Specialist

Independent Consultant (2021)

Managed and optimized Meta Ads campaigns for SMBs and coaches, delivering high ROI through audience targeting, conversion tracking, and funnel optimization.

AI Automation

Automation Learners Pro

Completed hands-on training in AI Agents, workflow automation, and system design through Automation Learners Pro, a practical learning platform focused on real-world business automation.

Digital Marketing

Learning Mate (2021)

Building on a solid foundation in digital marketing principles from Learning Mate. I successfully developed and executed data-driven freelance campaigns that delivered measurable client results from concept to completion.

Bachelor of Science (B.Sc.) in Civil Engineering

Hajee Mohammad Danesh Science and Technology University (2019 – 2022), Bangladesh.

Recently completed a B.Sc. in Civil Engineering from HSTU (2022). This field combines art and science to design and build essential infrastructure like roads, bridges, and water systems.

Plans & Pricing

Transparent Investment. ROI from Day 1.

💡Stop Paying the “Missed Call Tax.

We don’t charge by the hour. We charge for the System.

Think about it: A single missed HVAC system replacement job costs you $8,000+.

Our system costs a fraction of that. You pay a One-Time Engineering Fee to build the infrastructure, and a flat monthly retainer to keep it running, optimized, and updated.

One missed call saved pays for the entire system.

Price: $1,800

One-Time Build Fee (+ $500/mo Maintenance)

Best for HVAC & Plumbing owners who want to eliminate missed calls and automate booking immediately.

Features :

✅ 24/7 Inbound Voice Agent: Answers instantly, filters spam, and qualifies leads.

✅ Smart Calendar Booking: Syncs directly with Google Calendar/ServiceTitan.

✅ Basic CRM Integration: Pushes lead data instantly to your system.

✅ SMS Follow-up: Automatically texts callers who hang up.

✅ 7-Day “Red Team” Testing: We stress-test the AI before going live.

Get Your Build Audit

Price: Custom

Book a call for a quote. For aggressive home service businesses looking to scale revenue with Outbound AI and custom backend automation.

Features :

✅ Everything in Core Dispatcher.

✅ Outbound Reactivation Agent: Calls old leads to generate new revenue.

✅ Custom n8n Workflows: Automates invoicing, dispatching, and complex logic.

✅ Multi-Language Support: Spanish/English agents.

✅ Priority Support: Dedicated Slack channel for instant changes.

Book Strategy Call

CASE STUDIES

See The System In Action

Contact

Ready to Automate Your Operations?

Fill out the form below or book a strategy call to see if our infrastructure is right for you.

Md Miraj Islam

Engineering & Support

We don’t do high-pressure sales. We are engineers.

Reach out to discuss your current call volume and operational bottlenecks. We will tell you honestly if AI can solve them.

📞 Phone: +880 1794 800 770
📧 Email: hello@mdmirajislam.com 

What Clients Say

Trusted by Business Owners.

Sophia Martinez
Sophia MartinezFounder at GrowthEdge Consulting
"Miraj transformed our manual lead follow-ups into a fully automated system. We now save nearly 15 hours a week!"
James Walker
James Walker CEO at BrightPath Media
"His AI automation setup streamlined our client onboarding. Smooth, fast, and professional from start to finish."
Cody Millerl
Cody MillerlOperations Manager at Elevate Coaching
"Working with Miraj was a game-changer. Our support response time dropped by 70% thanks to his automation system."
David Chen
David ChenDirector at ScaleUp Agency
"We had no idea automation could be this simple until Miraj showed us. Clear communication, flawless execution."
Emma Roberts
Emma RobertsBusiness Coach & Author
"Miraj not only built the automation but also explained how everything works. Highly recommend for busy founders."

Have any Question?

FAQ

Will the AI sound like a robot?

 No. We use the latest Vapi & OpenAI voice engine (GPT-4o). It sounds human, pauses naturally, handles interruptions, and understands accents. Most callers won’t even know it’s AI. Call our demo line to hear it yourself.

We program “Emergency Logic” into the system. If the caller mentions “Gas,” “Fire,” or “Flood,” the AI immediately transfers the call to your personal cell phone or emergency line.

Yes. We integrate directly with Google Calendar, ServiceTitan, Housecall Pro, and GoHighLevel. The AI checks your real-time availability so it never double-books you.

 Our typical turnaround is 7-14 days. This includes the architecture build, knowledge base training, and a “Red Team” stress test to ensure it’s perfect before going live.

Is there a long-term contract?

No. We believe in earning your business every month. You pay a one-time build fee, then a simple monthly retainer for maintenance. You can cancel the retainer anytime (though you likely won’t want to).

 We monitor the call logs daily. If the AI misunderstands a question, we update its “Knowledge Base” immediately. The system gets smarter with every single call it takes.

Absolutely. The system is natively multilingual. It automatically detects the caller’s language (e.g., Spanish, French, Portuguese) and switches instantly within the same call. You will never lose a job again because of a language barrier.

Yes. We don’t use generic templates. During the “Audit” phase, we upload your specific service zip codes, pricing tiers, and “blackout dates” into the AI’s Knowledge Base. It acts strictly according to your business rules and will only book jobs that fit your criteria.

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Case Study: Automating Patient Appointment Calls with a Voice AI Agent

Client Overview

Name: Dr. David (Dental Industry)
Business Size: Independent dental clinic, UK

Dr. David runs his own dental practice and manages multiple patients daily. A major pain point was the constant influx of appointment calls while he was busy treating patients. This led to missed calls, frustrated patients, and lost appointment opportunities.

Date : 10 September 2025

The Challenge

Dr. David’s clinic struggled with:

  • Handling a large volume of appointment calls while he was with patients.

  • Ensuring every patient got a timely response and booking confirmation.

  • Reducing missed appointments and unbooked slots due to unanswered calls.

  • Avoiding disruptions during treatments caused by constant phone calls.

This resulted in:

  • Lost revenue from missed opportunities.

  • Declining patient satisfaction and trust.

  • Increased workload and stress for the team.

The Goal

Dr. David wanted a system that could:

  • Answer every incoming call 24/7.

  • Book appointments seamlessly into his clinic’s calendar.

  • Reduce patient wait times and frustration.

  • Allow him to focus fully on treatments without interruption.

The Solution

We built a Voice AI Agent tailored for his dental clinic:

  • The AI answers patient calls instantly, greeting them professionally.

  • It provides clinic information (hours, location, services).

  • It handles appointment scheduling, syncing directly with the clinic’s booking calendar.

  • It can reschedule or cancel appointments when needed.

  • It captures patient intent and FAQs using conversational AI.

Tools Used: Retell AI, n8n, Twilio, Google Calendar Integration, Custom Prompts

Implementation Process

Discovery: Understood patient communication challenges and mapped common call scenarios.
Build: Created the Voice AI agent with Retell AI, integrated with Twilio for call handling, and connected to Google Calendar.
Testing: Simulated real patient calls to ensure accuracy, natural tone, and smooth scheduling.
Launch: Deployed the system in Dr. David’s clinic with live patients.

Challenge Solved: Making the AI sound natural and empathetic during patient interactions. We solved this with prompt engineering and testing across multiple voice tones.

Results & Impact

  • 100% of calls answered (no more missed calls).

  • Faster appointment booking with instant confirmations.

  • 20% increase in monthly appointments (capturing previously missed opportunities).

  • Higher patient satisfaction due to quick, professional responses.

  • Dr. David can now focus on treatments, knowing calls are handled automatically.

Client Feedback

“Before the AI agent, I was missing too many calls during patient treatments. Now, every call is answered instantly, and appointments flow smoothly into my calendar. My patients are happier, and I no longer lose business from missed calls. This is a game changer for my clinic.”
– Dr. David, Dentist (UK)

Confidentiality

(For privacy reasons, client’s business identity is kept private. Industry and results are shared with consent.)

Want to :

Want to stop losing clients to missed calls and let AI handle your scheduling?
👉 Let’s talk about building your own Voice AI Agent today.

Case Study: 24/7 Inbound Voice AI Dispatcher for a Dental Clinic

Client: Dr. Sarah (Private Practice Owner)
Industry: Healthcare & Dental
Dr. Sarah runs a high-volume dental practice. She was frustrated by a chaotic front desk and suspected she was losing new patients during lunch hours and weekends. Her goal was to stop the revenue leak without hiring more staff.

Date : 25 September 2025

The Challenge

Before automation, the clinic was bleeding revenue due to operational bottlenecks:

  • Missed Calls: Audits showed they missed 10–12 calls per day (mostly during lunch breaks and after 5 PM).

  • Staff Burnout: The receptionist was overwhelmed juggling in-person patients and ringing phones.

  • The Financial Cost

They thought they had a “staffing problem.” In reality, they had a “math problem.”

The Goal

The client needed an infrastructure that could:

  1. Answer 100% of inbound calls instantly (0 hold time).

  2. Intelligently triage patients (Emergency Pain vs. Routine Cleaning).

  3. Access the live calendar to book/reschedule slots in real-time.

  4. Sync patient data directly to the CRM to remove manual entry.

  5. Send instant SMS confirmations to reduce no-shows.

The Solution

We engineered a custom Voice AI Receptionist using a low-latency telephony stack:

  • Instant Capture: The AI answers in <800ms using Vapi & Twilio.

  • Smart Logic: Using n8n, the AI checks the doctor’s specific availability in real-time to prevent double-booking.

  • CRM Integration: Patient details (Name, Symptom, Time) are pushed instantly into HubSpot.

  • Post-Call Automation: The system sends a confirmation text and logs a call summary for the office manager to review.

Tools Used: Vapi, n8n, Twilio, OpenAI (GPT-4o), HubSpot, Google Calendar API.

Implementation Process

Call Audit →

Architecture Design →

“Red Team” Stress Testing →

Live Deployment.

Results & Impact

✅ Missed Call Rate dropped to 0% (The AI never sleeps).
✅ Recovered ~$44,000/month in previously lost revenue.
✅ Eliminated manual data entry, saving the front desk 15+ hours/week.
✅ Improved Patient Experience with instant answers and zero hold times.

Client Feedback

“I honestly thought I needed to hire another $4,000/month receptionist. This system solved the problem overnight. The AI handles the bookings while my staff focuses on the patients in the chair. Seeing the ‘Lost Revenue’ number drop to zero was the best ROI I’ve ever had.”
— Dr. Sarah, Practice Owner

Confidentiality

(For privacy reasons, the client’s business identity is kept private. Industry and results are shared with consent.)

Want to :

Stop losing revenue to missed calls and automate your front desk?
👉 Let’s build your 24/7 Voice AI Infrastructure today.

Case Study: How an HR Manager Automated Email Overload & Freed 15+ Hours/Week

Client Overview

Industry: Human Resources
Role: HR Manager
Profile: A highly busy HR professional managing a high volume of daily emails, struggling to keep up with replies, scheduling, and meeting confirmations.

Date : 30 August 2025

The Challenge

Julie’s inbox was overflowing every single day. She could only manually respond to 10–15 emails, leaving many messages unanswered or delayed.

This caused:

  • Missed appointments and lost opportunities

  • Higher operational costs (needing extra staff)

  • Stress and inefficiency from repetitive manual tasks

The Goal

Julie wanted a fully automated system that could:

  • Capture, analyze, and respond to every incoming email accurately

  • Manage her calendar availability, fix meetings, and send confirmations

  • Eliminate the stress of late replies and missed follow-ups

The Solution

We designed a 2-part automation system:

  1. Knowledge Base Upload
    All data about Julie, her company, and HR-related processes were securely stored in a vector database for reference.

  2. Smart Email Agent

    • Checked incoming emails every minute

    • Captured, analyzed, and drafted replies with AI

    • Sent drafts to Julie for quick approval via Telegram

    • Modified responses instantly based on her feedback

    • Synced with her calendar to check availability and auto-confirm meetings

Tools Used:
n8n, ChatGPT API, custom JavaScript, OpenAI email integration, vector database, calendar integration, Telegram bot, AI agent.

Implementation Process

  • Discovery: Understood Julie’s workflow and bottlenecks.

  • Build: Designed workflows and custom prompts.

  • Testing: Iterated heavily with sample emails until accuracy matched expectations.

  • Launch: Deployed the live system, ensuring fail-safes and monitoring.

Key Challenge: Building prompts and code robust enough to handle complex HR email contexts. Solved with custom scripting and AI fine-tuning.

Results & Impact

•  15+ hours/week saved
•  $15,000/month saved (no need to hire 2–3 staff for manual work)
•  100% email coverage → no missed opportunities
•  Stress-free workflow → Julie only reviews, not writes

Client Feedback

“This system has been a game-changer. What used to take me hours every day now happens automatically. I no longer worry about missing important emails or appointments — it just works. I can finally focus on people, not inboxes.”

If you’re spending endless hours on repetitive email management or admin tasks, AI automation can give you your time back.
📩 DM me to see how a custom system could work for your business. 

How an E-Commerce Brand Used a RAG AI Agent to Cut Customer Support Time by 70%

Client Overview
Industry: E-Commerce
A fast-growing online store owner struggling to manage daily product inquiries, order updates, and customer requests across multiple platforms (email, chat, and social media).

Date : 25 September 2025

The Challenge

Sarah, the customer experience manager, was overwhelmed. Her small team spent hours every day answering repetitive questions like:

  • “Where’s my order?”

  • “Do you have this item in stock?”

  • “What’s your return policy?”

The Goal

Build an AI automation system that could:
⦁  Instantly respond to customer queries using real company data
⦁  Pull order info, product details, and FAQs dynamically from their database
⦁  Maintain a natural, friendly tone aligned with the brand voice
⦁  Free the team to focus on complex or high-value customer interactions

The Solution

We built a RAG (Retrieval-Augmented Generation) AI Agent that could “think” using the brand’s real data before replying.

How it worked:

  1. All customer data, FAQs, and policies were uploaded to a vector database.

  2. The AI agent – built on n8n + OpenAI + Supabase Vector DB – retrieved the most relevant info in real time.

  3. It generated accurate, human-like responses customized for each customer.

  4. Integrated with Gmail, WhatsApp, and Shopify, it replied across platforms seamlessly.

  5. For sensitive cases, it sent the draft to Sarah via Telegram for approval.

Tools Used:
n8n, ChatGPT API, Supabase, Telegram Bot, Shopify API, Gmail, WhatsApp Cloud API

Implementation Process

⦁  Discovery: Mapped out customer communication workflows and FAQ structure.


⦁  Build: Designed the RAG workflow, integrated Shopify + Gmail APIs.


⦁  Testing: Used real historical messages to train and refine responses.


⦁  Launch: Deployed on WhatsApp and Gmail first, then scaled to Messenger.

Key Challenge: Ensuring the agent could understand varied customer language (typos, slang, emotional tone). Solved using few-shot training and retrieval fine-tuning.

Results & Impact

✅ 70% reduction in manual replies
✅ 24/7 instant response system — even during weekends
✅ 40% boost in customer satisfaction scores
✅ Saved 20+ hours/week in customer support workload
✅ Team could focus on strategy, not repetitive typing

Client Feedback

“This RAG agent changed everything. Customers get instant answers that actually sound human — and it’s always correct because it pulls from our own data. We’re faster, more consistent, and way less stressed.” — Sarah, CX Manager

Confidentiality

(For privacy reasons, client’s business identity is kept private. Industry and results are shared with consent.)

Want to :

If your business spends hours replying to the same customer questions every day –  it’s time to let a RAG AI Agent handle it.
💡 You focus on growth, while the AI handles the rest.

Case Study: Automating Pre-Call Research for a Consultancy Firm

Client Overview

Name: Miles welch (Consultancy Industry)

Business Size: Independent consultancy firm

Miles runs his own consultancy practice where he speaks with multiple prospects and clients every day. To deliver highly personalized advice, he needed to know as much as possible about the individuals before each call. Previously, he hired two employees to manually research attendees, but the process was inconsistent, time-consuming, and often inaccurate.

Date : 21 August 2025

The Challenge

Miles’s team struggled to:

  • Efficiently gather detailed and reliable information about prospects before meetings.

  • Organize and present research in a structured, usable format.

  • Keep up with manual research demands of 20+ leads per week.

This led to:

  • Stress and overwhelm before meetings.

  • Loss of client trust due to lack of preparation.

  • Missed opportunities and reduced conversion rates.

  • Additional costs from paying employees who weren’t performing efficiently.

The Goal

Miles wanted to automate the entire pre-call research process to:

  • Save time and reduce reliance on employees.

  • Consistently have well-structured insights about each person.

  • Enter every meeting confident, informed, and ready to build trust.

The Solution

We designed a smart research automation workflow:

  1. When a client books a call via Calendly, they are required to provide their LinkedIn profile URL.

  2. The system scrapes LinkedIn to collect professional background, experience, education, and posts.

  3. A custom code module analyzes post activity, extracting key insights about personality and interests.

  4. Perplexity searches online sources (including Trustpilot) to collect external reviews and mentions.

  5. OpenAI compiles all this data into a concise summary + pain points list.

  6. A custom HTML formatter generates a polished, structured report.

  7. The report is automatically emailed to Max before the meeting.

Tools Used: n8n, ChatGPT API, Apify, Perplexity, Trustpilot, Calendly, Custom Code, HTML formatting.

Implementation Process

  • Discovery: Understood Miles’s research pain points and mapped the workflow.
  • Build: Created the automation pipeline integrating LinkedIn, Perplexity, and OpenAI.

  • Testing: Ensured accuracy of summaries, formatting, and timely delivery.

  • Launch: Deployed the system, with final tweaks on HTML design for readability.

Challenge Solved: Building a clean, structured HTML report was difficult. We overcame it by writing custom code to ensure all sections (background, insights, pain points) appeared clear and consistent.

Results & Impact

  • 30+ hours saved per week in manual research.
  • $15,000+ monthly cost reduction (no longer needed 4 employees).

  • Miles now enters every call fully informed, confident, and well-prepared.

  • Improved trust with clients through personalized, relevant conversations.

  • Faster response, better accuracy, and significantly less stress for Miles.

Client Testimonial

“Before this system, I was going into calls blind or relying on incomplete notes. Now I get a full, professional report delivered to me automatically. It saves me hours, reduces stress, and helps me build trust faster with my clients. It’s like having a dedicated research team working 24/7.”

– Miles, Consultant

Want to save 30+ hours per week and walk into every client call with confidence and insights at your fingertips?
👉 Let’s talk about building your own research automation system today.

This section focuses on prospect research, organizing data like education, work experience, and both positive and negative reviews.

This section consolidates all data, extracts client pain points, and delivers a neatly formatted report via email.

Case Study: AI Automation for a Coaching Business

Client: Jon (Coach, Private)
Industry: Coaching & Consulting
Jon is a well-known coach who wanted to streamline his lead generation and outreach. His goal was to replace manual tasks like lead research, enrichment, and follow-up with a fully automated, intelligent system.

Date : 14 June 2025

The Challenge

Before automation, Jon’s team struggled with:

  • Writing personalized emails at scale

  • Enriching leads with relevant research

  • Handling email follow-ups & replies

  • Managing leads with a clear dashboard

This process consumed 200+ manual follow-ups weekly, costing time, money, and often leading to lost opportunities due to slow responses.

The Goal

Jon wanted a system that could:

  • Automate lead capture, validation, and enrichment

  • Write super-personalized outreach emails

  • Automate 3 follow-ups every 3 days

  • Capture and categorize lead replies

  • Provide a custom CRM dashboard with daily reports

The Solution

We built a 5-workflow automation system:

  1. Capture leads from Apollo → validate emails with Hunter.io

  2. Run AI research & enrichment (via Perplexity + custom logic)

  3. Generate 3 hyper-personalized emails using ChatGPT API

  4. Automate follow-ups & reply handling

  5. Centralize all data in Airtable with a custom ROI dashboard

Tools Used: n8n, ChatGPT API, Apollo, Hunter.io, Perplexity, Airtable, OpenAI email tools

Implementation Process

Steps: Discovery → Build → Testing → Launch

  • The biggest challenge: creating a custom ROI dashboard.

  • Solution: implemented formulas + JavaScript inside Airtable to generate detailed reports aligned with client needs.

Results & Impact

✅ Saved 20+ hours/week of manual work
✅ Reduced costs by $20,000/month (previously required 2–3 employees)
✅ Increased lead response rate with faster, personalized follow-ups
✅ Improved accuracy & daily visibility with automated reports

Client Feedback

“This system changed everything. What used to take my team days is now running in the background automatically. I can focus on coaching while my outreach happens on autopilot. The daily reports give me peace of mind — I always know exactly what’s happening with my leads.”
                                                       — Jon, Coach

Confidentiality

(For privacy reasons, client’s business identity is kept private. Industry and results are shared with consent.)

Want to :

⚡Save 20+ hours a week and boost your client conversions with AI automation?
👉 Let’s build your custom automation system today.

This workflow scrapes lead data, validates emails, researches and analyzes prospects, identifies their pain points, and then generates a highly personalized email — automatically saving everything into the CRM.

This is the initial workflow for first email outreach follow-ups.

This workflow filters leads, delivers the second follow-up email after the first, monitors prospect replies, and instantly notifies a human when a response is received.

This workflow filters leads, sends the final follow-up email after the second, tracks prospect replies, and instantly alerts a human when a response comes in.

This reporting workflow creates a comprehensive report on CRM lead status and presents it through a custom dashboard.