AI & Workflow Integration Specialist

@hirujiyu

⭕⭕ AI AUTOMATION & VOIP INTEGRATION SPECIALIST ⭕ Hi there, ✔️ I understand you're not looking for strategy or platform guidance you already have the workflow defined. What you need is someone to execute the integration correctly and ensure the entire call → AI agent → WhatsApp automation pipeline works reliably in production. ✍️ Will the AI agent be handling only inbound calls initially, or do you also plan to automate outbound follow-up calls? ✍️ Are the WhatsApp follow-ups based solely on call outcomes, or will they also use captured variables from the conversation (name, booking date, lead status, etc.)? ✍️ Is your n8n environment already deployed, or should the setup include hosting, deployment and monitoring configuration? ➰ My approach would be to first validate the SIP flow end-to-end, then implement the n8n automation layer with proper logging and fail-safe handling before connecting WhatsApp actions. This keeps troubleshooting straightforward and ensures production stability. If the first phase goes well, I’d be happy to support ongoing automation projects and future integrations as your ecosystem expands. Thank you.

@corpmember29

Hi, I’m an automation specialist with experience in n8n, VoIP/SIP integrations, AI voice workflows, webhooks, and WhatsApp Business API automation. I can handle the setup end-to-end: validate the AVOXI ↔ ElevenLabs SIP connection, configure the conversational agent, and build reliable n8n workflows that capture call outcomes and trigger the appropriate WATI WhatsApp follow-ups. I’ll also implement proper error handling, retries, logging, and testing so the workflow remains reliable in production. I can work independently with your existing operational specifications and deliver the initial setup on schedule. If the first phase goes well, I’d be happy to continue supporting your future automation requirements. Thnaks CHirstina

@ozbas

**Pitch:** Hi there! I'm Özgür, an accomplished Full-Stack software engineer with a track record spanning over 10 years and expertise in various web and mobile applications as well as AI automation. From your project description, I noticed that you needed proficient skills in n8n (I have deep knowledge with either self-hosted or cloud versions), VoIP (I have been working with SIP protocols for years), ElevenLabs and WATI APIs (I've tackled similar WhatsApp Business API providers before), all of which I possess harmoniously. My key focus has always been smooth workflow integration, which perfectly fits into the core of this project. With prior experience building complex workflows using n8n, I am very confident in my ability to assure a seamless connection between AVOXI, ElevenLabs, and WATI APIs that will handle the call outcomes effectively whilst triggering appropriate automated follow-ups via WhatsApp," without any flaw. Furthermore, given that you already have structured operational guidelines for each platform, my practical disposition in adhering strictly to task directions makes me even more promising for this job. Note also that I understand your busy schedule and I'm fully committed to easing the burden by delivering an excellent job on schedule. If given the opportunity,

@Hammadhassan21

Hey, I’ve carefully reviewed your project, and I understand you need the existing telephony, AI voice, and WhatsApp stack connected into one reliable automation flow without adding unnecessary complexity. I can help configure the integrations and make sure call outcomes consistently drive the right follow-up actions. I will validate the AVOXI–ElevenLabs SIP connection, configure the conversational agent, build n8n workflows for call outcomes, and connect those events to WATI for immediate WhatsApp follow-ups. I’ll also test successful calls, missed calls, bookings, webhook handling, and error paths so the automation remains dependable. I have hands-on experience with similar projects and would be happy to share relevant examples during our discussion. One quick question: Is your AVOXI SIP endpoint already provisioned and receiving inbound traffic, or should I handle the initial SIP configuration as well? Portfolio: https://www.freelancer.com/u/Hammadhassan21 Best Regards, Hammad Hassan

@InterconnectBPO

Understanding the need for a seamless integration of your sales and customer service ecosystem, our team specializes in configuring AI-driven workflows that ensure efficiency and reliability. We will streamline the process so your AI voice agent can effectively handle calls and trigger timely follow-ups via WhatsApp. We will validate the SIP connection between AVOXI and ElevenLabs to ensure proper traffic handling and configure the AI agent parameters to enhance performance. Our approach will utilize n8n for capturing call data and automating follow-ups through WATI, ensuring a smooth user experience. Our expertise with n8n, VoIP, and the relevant APIs makes us a perfect fit for this project. Also, communication, quality, and on-time delivery are priorities. If you'd like, I can also share similar work we've completed and discuss the best approach for your project. Regards, JP

@OutsourceMan

Hi, I can execute your telephony and messaging automation pipeline using your existing stack (n8n, AVOXI, ElevenLabs, and WATI). Methodology & Implementation Strategy VoIP & SIP Trunk Validation: Configure and verify the SIP trunk between AVOXI and ElevenLabs (UDP/Port 5060), ensuring optimal latency, proper codec negotiation, and reliable call routing for inbound/outbound traffic. AI Voice Agent Setup (ElevenLabs): Integrate system prompts, dynamic variables, and conversational parameters within ElevenLabs to capture targeted call outcomes (e.g., booked consultation, missed call, qualified sale). n8n Orchestration & Webhooks: Build modular n8n workflows listening to ElevenLabs post-call webhooks and AVOXI call-event triggers. Parse call metadata (caller ID, duration, sentiment/disposition) with strict error-handling and retry logic. WATI Automated Triggers: Map n8n workflows to WATI REST API endpoints to trigger personalized, event-driven WhatsApp templates and follow-ups instantaneously. End-to-End Testing & Handoff: Test all call pathways and message delivery loops to verify latency and data accuracy before deployment. Ready to begin execution immediately!

@rbtech1984

Hello!! Your sales and customer service system needs reliable integration between n8n, AVOXI, ElevenLabs, and WATI so calls can trigger accurate WhatsApp follow-ups automatically. * Is AVOXI already connected to your ElevenLabs account? * Do you already have the WATI message templates prepared? * Will the n8n setup be self-hosted or cloud-based? The setup will include SIP connection validation, ElevenLabs conversational agent configuration, and n8n workflows for missed calls, sales, bookings, and other outcomes. WATI messages will be triggered automatically with proper data handling, testing, and error checks across the complete workflow. Relevant n8n automation, API integration, AI voice, and communication workflow projects have been completed. The focus will be a stable system that runs reliably without constant manual involvement. Looking forward to discussing the project in chat. Best regards Farhin B

@mak94pk

Configure an AI voice agent to handle incoming calls and trigger WhatsApp follow‑ups. First, I will set up a test SIP endpoint between AVOXI and ElevenLabs to verify UDP/5060 traffic. Then I’ll build n8n workflows to capture call data and trigger WATI messages. I’ve built a similar n8n lead‑routing pipeline in-house, so the integration logic is proven. Delivery in 10 days. Do you already have the ElevenLabs API key and AVOXI SIP credentials available?

@kabirchy

Hi there, I understand you need an automation and AI specialist to integrate your sales and customer service ecosystem using n8n, AVOXI, ElevenLabs, and WATI. As someone with extensive experience in workflow automation and voice AI integration, I can help you streamline your operations effectively. My approach focuses on creating seamless connections between your communication platforms and business processes. I'll leverage n8n's powerful workflow capabilities to automate lead routing, customer interactions, and data synchronization across your entire ecosystem. The integration will include voice agent automation through ElevenLabs, VoIP connectivity with AVOXI, and smart messaging via WATI. I specialize in connecting complex systems while maintaining simplicity for your team. My work includes configuring Asterisk PBX integrations, developing mobile app workflows, and implementing AI-powered customer service solutions that reduce manual effort and improve response times. Best Regards, Khorshed Alam, RS Software

@a4logic

Hello, As the founder of A4Logic, I'm Yasir Shah and I have extensive experience in all areas related to your project needs, from web and mobile development to AI integration and Chrome extensions. My expertise spans over 15 years, during which I've focused on turning complex ideas into secure, scalable, and user-friendly products, a skillset I believe is precisely what you need. Regarding your specific requirements, my proficiency in n8n, SIP protocols, and conversational AI agents like ElevenLabs makes me an ideal candidate for this job. Having worked closely with APIs similar to WATI (including WhatsApp Business APIs), I'm comfortable configuring these tools to ensure a seamless flow between incoming calls and automated follow-ups via WhatsApp. It's important to mention that while you're fully understood how these platforms work technically, you require a capable partner who can flawlessly execute this setup while you focus on your core operations. Rest assured, my aim is not just to deliver this initial project with excellence and speed but also earn your trust for any future automation demands or developments. Let me leverage my skills and experience to bring your vision to life, let's build something great together! Thanks!

@zainalitariq245

Greetings, You need an automation specialist to connect AVOXI, ElevenLabs, n8n, and WATI so AI-handled calls can reliably trigger the correct WhatsApp follow-ups based on outcomes. We will build this with: SIP/AVOXI validation, ElevenLabs voice-agent configuration, n8n workflows, WATI WhatsApp triggers, call-status handling, reliable webhooks. A couple of questions before I provide a detailed plan: Do you already have the AVOXI SIP credentials, ElevenLabs agent, and WATI account/API access configured? What call outcomes and WhatsApp message templates should trigger each automation? Portfolio: freelancer.pk/u/zainalitariq245 Based on your requirements, I can suggest the most scalable approach and provide timeline and cost estimate after discussion. Looking forward to discussing the details. Best regards, Zain Ali

@rajat07me

Hi, this is a strong match for my workflow automation background. I have hands-on experience with n8n automations, API-based integrations, and telephony-linked workflow setups, so I can help connect AVOXI, ElevenLabs, and WATI into a reliable follow-up system. I also understand this is an execution-focused project, not a discovery exercise, which helps keep things efficient. If you want, I can review your current logic and start with the SIP and webhook flow first.

@bcosley

Hi, You're aiming to route call outcomes through an AI voice agent and push WhatsApp follow-ups automatically. This mirrors projects where VoIP events trigger downstream actions in messaging channels, under tight uptime and data consistency needs. I've implemented end-to-end n8n workflows with AVOXI/SIP and WhatsApp APIs to automate post-call actions. I’d start by validating the SIP path, then lock down event schemas and build a small pilot in n8n to prove call-to-metadata flow. This includes a simple fallback and replay-safe triggers for WhatsApp messages. SIP reliability across providers and ensuring idempotent follow-ups under retries is the tricky part. - What should happen if a call outcome is missed or misclassified, should we trigger follow-ups or hold until confirmation? - Who owns data/state across AVOXI, ElevenLabs, and WATI, and should we implement idempotent processing and cross-system dedupe? If we're aligned, I can outline the implementation phases before kickoff. Best regards, Brandon

@Eliteinno

hello, The piece that decides whether this whole system works is the SIP connection between AVOXI and ElevenLabs, since everything downstream, the AI conversation, the call outcomes, the WhatsApp follow-ups, only happens if the voice agent actually answers the call cleanly. SIP over UDP on port 5060 is exactly where these integrations get fragile, because telephony is unforgiving, so I would prove that connection solid first, confirming the AI agent reliably picks up and holds a clean call through AVOXI, since a workflow built on a flaky SIP link produces dropped or garbled calls no amount of n8n logic can fix. Once the voice layer is stable, the n8n orchestration is the satisfying part, capturing the real call outcome, missed, sold, consultation booked, and branching the follow-up so WATI fires the right WhatsApp message for each. That outcome-based branching is the actual intelligence of the system, so I would build it so each call result triggers genuinely the right action rather than one generic reply, which is what makes the automation feel sharp. Since your operational guidelines and platform logic are already structured, the work is clean execution against a clear spec, which suits a fast, reliable delivery. For the call outcomes, does ElevenLabs or AVOXI pass a clear result signal that n8n can branch on, or should the workflow infer the outcome from the call data and duration? And is ElevenLabs' SIP integration with AVOXI already provisioned on both sides, or is establishing that connection part of the scope, since that shapes where the setup effort concentrates? have a nice day.

@DeveloperStation

Hi, The trickiest part here is the SIP leg, not the AI. AVOXI to ElevenLabs over UDP on 5060 tends to break on NAT and codec mismatch, so I'd validate registration and a test inbound call before touching any n8n logic. Everything downstream depends on that handshake being clean. We've built AI-driven automation workflows that encode business logic and trigger actions across tools, plus real telephony integration where call events fired follow-up messaging through a third party API. BD Automation: internal MangoCoders project, AI workflows. One question: is your n8n self-hosted or cloud, and does WATI already have your templates approved? That decides how fast the follow-up triggers go live. I'd start with the SIP validation as the first milestone so you only release on a working call. Adil

@Jennycreation

As an automation specialist with over 17 years of experience, I understand the intricacies involved in building complex workflows for seamless business operations - a proficiency which directly aligns with your project's core demands. My extensive expertise in n8n, IP telephony, and SIP protocol has empowered me to craft the most efficient workflow orchestration, data synchronization, and telephony infrastructure configurations. This inevitably involves added knowledge on ElevenLabs and WATI APIs, both of which are under my toolbelt. One factor distinguishing me from competitors is that I'm not only technically capable but also highly mindful of achieving results efficiently. So while you focus on your core operations, I can implement this setup effectively within your desired timeline. Furthermore, my aptitude for continuous improvement ensures that if this initial project is executed well; my services won't stop there but will continue to provide value for every future automation demand and development you have - just like subduing the caller experience through AI voice agents integrated with AVOXI and Whatsapp triggers. Choose me today for a competent, reliable, and agile solution!

@gtssoftindia

Hi mate, facesconsent.com- React, Node full stack appassio.com- React Building an AI-powered voice and WhatsApp automation system like this is an exciting project. I’d love to help configure the complete workflow across n8n, AVOXI, ElevenLabs, and WATI. Questions: 1. Do you already have the ElevenLabs conversational agent and system prompt configured? 2. Do you have the n8n instance and WATI API credentials ready for integration? Proposed Solution & Approach: I recommend building the automation in n8n to connect AVOXI, ElevenLabs, and WATI seamlessly. I’ll validate the SIP connection including UDP/5060 traffic, configure the ElevenLabs conversational agent, and synchronize call handling with AVOXI. I’ll then create reliable n8n workflows to capture missed calls, successful sales, and consultation bookings, triggering the appropriate WhatsApp follow-ups through WATI. The workflows will include webhooks, data mapping, error handling, and reliable synchronization. About Me: I'm Tejash J, a developer with experience building automation, API integrations, and scalable web applications. I specialize in Node.js, React, workflow automation, and third-party API integrations, with a strong focus on reliable backend processes and seamless system communication. Timeline & Budget: Once we clarify the full scope, I’ll provide a fixed estimate and timeline tailored to your needs. Let’s build something great together. Best regards, Tejash J

@raheel2k29

Hello, I’m interested in setting up and integrating your AVOXI → ElevenLabs → n8n → WATI automation ecosystem. I understand the objective is not simply to connect APIs, but to create a reliable end-to-end workflow where call outcomes are captured correctly and the appropriate WhatsApp follow-up happens automatically. Scope I can handle Validate and troubleshoot the AVOXI ↔ ElevenLabs SIP connection Verify SIP registration, routing, ports, codecs, and call traffic Configure the ElevenLabs conversational AI agent, system prompt, call behaviour, and relevant parameters Build robust n8n workflows using webhooks/API integrations Capture and process outcomes such as missed calls, successful sales, qualified leads, and consultation bookings Connect n8n with WATI for automated WhatsApp follow-ups Document the final workflow and configuration for future maintenance I’m comfortable working across both the automation and technical telephony side, including REST APIs, webhooks, SIP/VoIP concepts, and workflow orchestration. My priority will be reliability and predictable automation, especially around failed calls, duplicate triggers, API errors, and follow-up timing. If the initial implementation goes well, I’d also be interested in supporting the ongoing automation and AI workflow development mentioned in your brief. Regards, RAHEEL

@cliftonc20

Hello, this is a fairly specific telephony-to-messaging orchestration problem, and the part that matters is not the n8n wiring itself but making sure call state transitions are reliable enough to drive the right WhatsApp action through WATI. I’ve built several production AI systems where live interaction events trigger downstream automation, and I usually structure them so session handling, event normalization, and follow-up execution are separated rather than buried in one workflow. The closest relevant work here is AI Translator Plugin for real-time voice pipeline behavior, plus DocIntel AI for event-driven automation architecture and production processing flows. For this setup, I’d approach it by validating the SIP path first, then defining a clean outcome model for missed calls, booked consultations, and sales before wiring n8n branches. The real risk is orchestration correctness at call end, especially when telephony events arrive incomplete or out of order. I typically design fallback handling around ambiguous outcomes, duplicate events, and failed downstream sends so the system stays predictable in production. If useful, I can sketch the agent flow and event model first, then map the n8n workflow around it. Clifton