AI Automation Specialist Needed – White-Labeled Voice AI & Lead Management Ecosystem

@joomextensions

Hi, I have reviewed your project requirements for building a White-Labeled Voice AI & Lead Management Ecosystem and I am confident I can deliver exactly what you need. I have extensive experience building production-grade AI automation systems using n8n, Twilio, VoIP/Asterisk PBX, and multi-channel lead orchestration workflows. Here is my approach: 1. Unified Lead Hub: I will build a centralized system capturing leads from website forms, B2B marketplaces, and social media via APIs/webhooks with automatic categorization and routing. 2. Voice AI: Configure conversational AI agents using Twilio Voice + AI integrations for inbound/outbound calls with fallback handling. 3. Multi-Channel Logic: Voice → WhatsApp/SMS → Email sequences fully automated in n8n with intelligent follow-up logic. 4. CRM Integration: Seamless sync with your preferred CRM via REST APIs. 5. Reliability: Error handling, retry logic, monitoring dashboards, and failover routing built-in. Tech Stack: n8n, Twilio, Asterisk PBX, OpenAI, REST APIs, webhooks. I have delivered similar systems for clients in sales automation and lead management. Ready to start immediately. Looking forward to discussing further!

@shailender18

As an accomplished full-stack developer, I have considerable experience in building production-grade automation systems which makes me perfectly suited for this project. One notable example of my work involved developing a fully automated lead management system using n8n. With that system, I was able to successfully centralize lead management, categorize inbound leads, and route them intelligently with APIs and webhooks, just as you need. In addition to automation, I am also extensively versed in AI voice technologies. My exposure ranges from implementing high-quality conversational AI voice agents to configuring VOIP services like Twilio and Vonage for outbound and inbound calling solutions. I am confident that my skills are honed enough to address voice- or messaging-based fallback scenarios as discussed in the description. Reliability is paramount when designing such large-scale systems, and my extensive experience in database architecture and optimization on platforms like MongoDB adds tremendous value here. Going above and beyond just technical expertise, I offer clear communication, clean coding standards, and a steadfast belief in the power of scalability. Through this rich combination of skills and values, I am eager to tackle every aspect outlined in your project description head-on granting you not only a fully automated and efficient sales and lead-management ecosystem, but one that's designed for reliability and intensive use.

@AplhaCharlie

Hello, I am a Mern Stack Developer who have 8.3 years of experience in web development field. From last one year i have working in startup company which build Voice Call AI agent, so i am better fit for your requirement. Lets Connect and discuss more and i will also show you my work for your trust and understanding. Regards, Ganesh Negi

@vertechsolutions

Hi, I can fix your AI Automation Specialist Needed - White-Labeled Voice AI & Lead Management Ecosystem I've solved this exact problem many times. Here is what I will do: Build a centralized lead hub with API/webhook capture, smart tagging, and routing. Configure AI voice agents with Twilio/Vonage/Exotel, call outcomes, and fallback messaging. Create omnichannel automation for WhatsApp/SMS/email, CRM sync, callbacks, and nurture flows. 10 days free support after delivery Milestone-based payment Reply "YES" and Best regards, syed ribal

@sshorts

Hi there, I am an automation specialist with deep experience in building high-fidelity AI ecosystems. I can design your white-labeled sales engine, ensuring a seamless transition between Voice AI, SMS, and CRM workflows. 1. Experience: I have developed native Android and web backends integrating Twilio for real-time communication and AWS for scalable data handling, managing complex REST API integrations with zero latency. 2. Voice & Workflow: I am proficient in n8n and Make.com. I specialize in integrating Vapi/Retell AI with VOIP providers to ensure natural-sounding voice interactions with automated outcome tagging. 3. Multi-Channel Logic: I use a Centralized State Machine via n8n: Voice First: Inbound/Outbound call via Vapi. Instant Fallback: If "No Answer," a conditional branch triggers a personalized WhatsApp/SMS via Twilio. Nurture: If no response, the lead is pushed to an email sequence and the CRM is updated. 4. Reliability: I use webhooks with retry logic and error-catching nodes to ensure no lead is dropped. I leverage AWS infrastructure for the dashboard to handle high call volumes safely. 5. Recommended Stack: n8n (Orchestration), Vapi + ElevenLabs (Voice), Twilio (Comms), and a React/PHP custom dashboard. I am available to start immediately . Let’s build a system that converts your leads on autopilot.

@MarcusKar

Hi — I build exactly this kind of system professionally. I run a multi-brand automation stack across three businesses using Twilio, Netlify serverless functions, AI-powered content generation, and CRM automation. So I'm not guessing at the scope here — I've lived it. I want to be transparent: what you've described is a production-grade AI sales ecosystem. Here's what this project actually entails: • AI Voice Agents (Vapi/ElevenLabs + Twilio VOIP) — 40-60 hrs • Omnichannel Automation (WhatsApp + SMS + Email fallback logic) — 30-40 hrs • White-Labeled Dashboard (custom frontend + analytics) — 40-60 hrs • CRM + Lead Management Hub (API integrations, webhooks, routing) — 30-40 hrs • Testing, Documentation, Deployment — 20-30 hrs Total: 160-230 hours of senior-level work. At even a modest $50/hr, this is a $8,000-$11,500 project. The ₹12,500 ($146) ceiling on this listing would cover roughly the first day of voice agent configuration. I'm not saying this to be disrespectful — I'm saying this because if you have real budget and a real project, I can actually build this. But if the budget is firm at ₹12,500, you'll attract developers who either cut every corner or ghost you mid-project. Happy to discuss a phased approach if budget is a constraint. Phase 1 could deliver core lead capture + voice calling for a realistic investment, then we scale from there.

@mariium

Your automations are business-critical. That means mistakes are not an option. This is a large, well-scoped project and I have read every part carefully. I work with n8n, AI voice platforms, and multi-channel automation regularly. All inbound leads website forms, B2B marketplaces, social media funnel into one centralized pipeline via webhooks and APIs. Every lead gets categorized and routed automatically. Nothing falls through the cracks. For voice I would use VAPI with Twilio. Natural conversations, regional accent support, inbound and outbound calling. Every call outcome gets tagged and triggers the right next workflow step automatically. If a call goes unanswered the workflow falls back to WhatsApp or SMS instantly. Callback requests get scheduled without manual work. Cold leads go into a nurture sequence and stay there until ready. Email workflows for outreach, qualification, and follow-ups stay synced with CRM lead stages at all times. Every workflow is built with error handling and fallback logic. If one channel fails it reroutes. Everything is modular so adding new channels later requires no rebuilding. Stack I recommend: n8n for orchestration VAPI for voice AI Twilio for VOIP Meta Cloud API for WhatsApp SendGrid for email HubSpot for CRM One question do you already have a CRM in place or do you need a recommendation?

@satyaevolfast

Hello! I appreciate the detailed project description and requirements you've provided. Building a fully automated sales and lead-management ecosystem is an exciting challenge, and I'm confident in my ability to contribute. To address your requirements, I propose leveraging AI voice platforms like Twilio for voice calls, and integrating tools like n8n for workflow automation. The centralized lead management will be built using APIs to capture leads from various sources, ensuring smooth categorization and routing. Additionally, I will configure conversational AI voice agents that can handle regional accents and manage outcomes effectively, triggering follow-up workflows based on specific tags. My recent project, ODIN, involved creating an AI system for real estate intelligence, which aligns with your need for automated systems. You can check my portfolio for further details on similar work. I’d be happy to discuss the specifics of this project further and explore how we can achieve your goals together. Best regards, Satya

@aaronrobs

⭐ONLY PAY IF YOU’RE IMPRESSED⭐ With extensive experience building AI-driven sales and lead management ecosystems, we can deliver your fully automated, white-labeled platform seamlessly integrating Conversational AI, Voice Calling, Messaging, Email Automation, and CRM workflows. Core Deliverables: • Centralized lead hub with API integrations • AI voice agents with regional accents • Omnichannel fallback messaging & smart scheduling • Email automation synced to CRM stages • Custom white-labeled dashboard & analytics Our Approach: • Capture & route leads via webhook/APIs • AI voice → Messaging → Email automation logic • Scalable, reliable systems with failover safeguards What’s your budget range? Once known, I’ll provide a timeline and breakdown. Committed to exceeding your goals. Kind regards, Aaron Roberts Happy Screen Solutions

@Marwan328

I’ve reviewed your requirements. This is not a single automation workflow — it is a full AI-driven sales operations system combining Voice AI, omnichannel engagement, lead routing, and CRM-style tracking with automation logic. The key challenge here is not building individual integrations, but designing a reliable orchestration layer between voice, messaging, email, and lead state transitions without breaking flow continuity. ⚙️ My approach I will build a modular automation architecture using n8n (or equivalent orchestration layer) that separates: Lead ingestion layer AI Voice agent layer Omnichannel communication layer CRM logic + tagging engine Reporting/dashboard layer This ensures scalability and avoids tightly coupled workflows.

@dylanc812

⭐⭐⭐⭐⭐ Imagine a fully automated sales ecosystem where leads are captured, nurtured, and converted across voice, messaging, and email—all seamlessly orchestrated. I can build a white-labeled workflow that turns multi-channel engagement into a hands-free, reliable engine for growth. Your idea is original because it fuses AI voice agents, omnichannel automation, and lead management into a single ecosystem, providing real-time tracking, conditional workflows, and actionable insights. This reduces manual follow-ups, increases conversions, and gives teams full visibility. ✌ Implementation involves integrating AI voice platforms, VOIP APIs, messaging/email channels, and CRM workflows into a unified automation pipeline; challenges include multi-channel coordination, failover handling, and ensuring natural conversational AI interactions. ✌ I’ll overcome these by building modular, monitored workflows with retry logic, webhook error handling, and a scalable architecture that ensures reliability even under high lead volume. ✌ My strength is hands-on experience delivering production-grade AI automation systems with n8n and Twilio integrations, creating workflows that are robust, extensible, and fully documented. ⭐ Don’t settle for just another developer. Opt-in for one who sees eye-to-eye with your deep-seated vision; one who delivers efficiently and strategically; choose Dylan!

@antomervin2003

Hi, I came across this post and i am sure that I can deliver this project Here is why : I've built a near-identical system that has lead management, AI voice agents, social automation in production grade. It is under NDA so I can't share details publicly, but happy to walk you through about the project and your workflow logic, and outcomes on a quick DM. Hoping for your DM to share and work with a exciting project

@Vinayaku94

I’d be a great fit for this project as I have strong experience in workflow automation, API integrations, white-label platforms, and business process automation. I have worked on 1000+ automation projects with multiple companies, handling API integrations, webhooks, CRM automations, workflow optimization, and multi-step automation systems. I’m comfortable working with complex integrations, custom automation logic, and debugging existing workflows. My focus is on building reliable, scalable, and efficient automation solutions that reduce manual work and improve operational efficiency. Looking forward to discussing your requirements further.

@prasetia67

Apapun yang bos saya minta dan saya akan melakukan persis seperti yang boss mauu apapun ituu yg penting masih di lakukan melalui handphone saya

@Kunalsukhani

Hello, Your project aligns perfectly with my experience building AI sales automation ecosystems combining Voice AI, workflow automation, and multi-channel lead orchestration. I understand the objective: ✅ Centralized Lead Management ✅ AI Voice Calling Automation ✅ WhatsApp/SMS & Email fallback workflows ✅ CRM synchronization ✅ White-labeled analytics dashboard Experience: • AI voice agents using Vapi & ElevenLabs • Inbound/outbound calling workflows • n8n automation & lead routing • WhatsApp + Email follow-up sequences • CRM pipeline automation & API integrations Approach: Lead captured → n8n automation hub → AI voice call → outcome tagging → automated WhatsApp/SMS fallback → email nurturing → CRM auto-updates. Recommended Stack: n8n • Vapi + ElevenLabs • Twilio • WhatsApp Cloud API • HubSpot/GoHighLevel • Retool/Supabase dashboard. Reliability: modular workflows, retry logic, webhook monitoring, centralized logging, scalable architecture. Questions: Expected call volume? Preferred CRM? Internal use or multi-client white-label? Looking forward to discussing the architecture. Best regards, Kunal