Vertex AI Call & WhatsApp Bot

@souvikbasu

Hi, I'm an AI/ML developer with experience building conversational AI pipelines — voice bots, chatbot integrations, and CRM webhook systems are exactly the kind of work I focus on. My approach: • Vertex AI calling agent: build a natural-sounding voice agent using Vertex AI Conversation/Dialogflow CX with your sales script flow — lead qualification logic, follow-up scheduler, and demo walkthrough all baked in • WhatsApp Business API: mirror every voice interaction to WhatsApp in real time, reusing the same intent and context models so voice↔text parity is seamless even for mid-call drop-offs • Backend + CRM webhooks: secure backend that logs every interaction, tags lead status (qualified/follow-up/demo), and fires webhook payloads with contact info, qualification score, and full transcript within 30 seconds • No-code script updates: Vertex intent training or FAQ docs uploadable without redeployment, satisfying your acceptance criterion #1 Happy to share relevant chatbot/voice bot work and start immediately.

@fizaa170

Hi, The main challenge here is not just building a voice bot or WhatsApp bot separately, but creating a unified conversational system where voice and chat share the same context, qualification logic, and follow-up flow in real time. The solution can include: • Google Vertex AI/Dialogflow CX conversational architecture • Twilio Voice or similar telephony integration • WhatsApp Business Cloud API integration • Shared intent/context engine between voice and chat • Lead qualification and follow-up automation • Demo-script handling and conversational branching • CRM webhook and transcript delivery system • Centralized conversation logging and lead tagging The workflow would ensure: • Voice ↔ WhatsApp continuity without losing context • Automatic WhatsApp follow-up after dropped calls • Shared decision-tree logic across channels • Editable sales scripts/FAQ workflows without redeployment • Real-time CRM synchronization and lead-status updates Recommended stack: • Vertex AI + Dialogflow CX • Node.js/Python backend services • Twilio/telephony integration • WhatsApp Cloud API • Scalable webhook/event-driven architecture The focus will remain on: • Low-latency conversational flow • Consistent multi-channel user experience • Scalable AI workflow management • Secure transcript and lead-data handling Ready to discuss the qualification logic, CRM workflow, and deployment architecture further.

@manoval09

Hi, You need a production-ready bot that handles both voice calls and WhatsApp — two very different real-time channels — unified under Vertex AI's conversation engine. That's the hard part most implementations get wrong. My approach: Twilio Voice for inbound/outbound call handling (webhook-based, so no polling), with Vertex AI Dialogflow CX as the NLU backbone — specifically using its `TELEPHONY` input audio config for low-latency STT on the call leg. For WhatsApp, Meta's Cloud API feeds into the same Dialogflow CX agent via a separate webhook, keeping conversation state consistent across channels. Backend in Python (FastAPI), deployed on Cloud Run for autoscaling without managing infrastructure. Before writing a line of application code, I'd spend the first 24 hours mapping your exact call flow and WhatsApp message types — then push a working proof-of-concept with one inbound call path connected to Vertex AI so you can hear it respond. One concrete question before I finalize scope: do you need the bot to hand off to a human agent mid-call, or is full automation the target for v1? Best regards, Val

@krishnaj64

Hi there! This sounds like a fantastic project. I specialize in building omnichannel AI agents using Vertex AI and Dialogflow CX, and I’ve previously integrated them with Twilio Voice and WhatsApp Business to create exactly what you’re looking for: a "unified brain" where the conversation logic remains consistent regardless of the medium. I can ensure that your lead qualification flows and demo scripts are managed dynamically within Vertex, making it easy for you to update scripts without touching the codebase. The "mirroring" aspect—where WhatsApp picks up exactly where a voice call leaves off—is a personal favorite challenge. I’ve built similar event-driven backends that handle real-time status tagging and CRM webhooks, ensuring your data is synced and ready for review within seconds. Could we jump into a quick chat to discuss your specific CRM and the typical length of your demo scripts? I'd love to nail down a timeline and budget that works for you.

@fabc14

With over 5 years of experience as a Full Stack Web Developer, I bring a unique blend of skills and expertise to the challenging task of building your voice bot project. My proficiency in Java, along with my deep knowledge of Google Vertex AI, Dialogflow CX, Twilio Voice, and WhatsApp Business Cloud makes me perfectly suited for this job. Previous clients have lauded my ability to deliver full-stack solutions that are not only functional but also highly scalable, which is crucial for your requirement of a production-ready bot capable of conducting high-volume sales calls effectively.

@Anika1802

Having successfully worked with over 80 businesses around the world, I am confident in my ability to not just build an exceptional Vertex AI based voice and chatbot system, but to understand and execute your vision exactly as you need it. My 5+ years of experience in web and mobile app development has given me a keen understanding of SaaS platforms, AI-powered systems, and business automation solutions - all essential skills for this project. In terms of the necessary technologies, I am well-versed in Dialogflow CX and Google Vertex as well as experienced with Twilio Voice and WhatsApp Business Cloud. Additionally, I've built AI Chatbots in the past, which have enabled me to solve problems similar to what your project entails. From being able to update sales scripts or FAQs without redeploying code to real-time CRM webhook updates with contact information and full transcripts within seconds of completion - all aligns perfectly with my skillset. Lastly, my meticulous approach angling for clean architecture, modern design, efficient execution, and clear communication allows me to deliver creative solutions that are not just technically sound but also provide value to businesses by actual growth. Trust me with your project - it's not just about finishing the job but about working towards a common goal of creating something that moves your business forward. I believe in the potential of this project and I am ready to make it a resounding success.

@haseebs74

Hi, A production-ready voice + WhatsApp sales bot on Vertex AI with full CRM integration this is a complex but well-defined project I can deliver. My approach: Voice Bot (Vertex AI + Twilio): - Dialogflow CX for intent and context models - Twilio Voice for inbound and outbound calls - Natural speech with lead qualification flows - Follow-up scheduler and demo script handling - Scripts/FAQs updatable inside Vertex without redeploying code WhatsApp Bot (WhatsApp Business Cloud API): - Same Dialogflow CX intents reused identical logic across voice and text - Mid-call hangup triggers instant WhatsApp follow-up with same context - WhatsApp reply triggers same decision tree as voice bot Backend: - Secure conversation logging every call and chat - Lead status tagging and qualification scoring - CRM webhook delivering contact info, score, and full transcript within 30 seconds of completion All 3 acceptance criteria met: ✔ Scripts updatable in Vertex without redeployment ✔ Identical logic voice ↔ WhatsApp ✔ CRM webhook fires within 30 seconds Stack: Vertex AI, Dialogflow CX, Twilio Voice, WhatsApp Business Cloud API, Python, webhooks Timeline: 4–6 weeks Can you share your CRM platform and whether you already have Twilio and WhatsApp Business API accounts set up? That'll help me finalize the architecture before we start. Haseeb

@jamesa748

Hi, I reviewed your project requirements carefully and I’m very interested in building this AI-powered voice and WhatsApp automation platform for you. I have experience working with: • Google Vertex AI / conversational AI workflows • Dialogflow CX for advanced conversation flows • Twilio Voice and telephony integrations • WhatsApp Business Cloud API • Real-time webhook and CRM integrations • Secure backend architecture and conversation logging I understand that the key requirement is maintaining seamless voice ↔ WhatsApp parity so the customer experiences the same logic, context, tone, and follow-up flow across both channels. I can build a centralized conversation engine that keeps both systems fully synchronized in real time. What I can deliver: • Production-ready outbound/inbound AI calling agent • Natural voice interactions with lead qualification and demo handling • WhatsApp chatbot connected to the same intent/context pipeline • CRM webhook integration with transcripts, lead scoring, and outcomes • Admin-friendly workflow for updating scripts and FAQs without redeployment • Secure and scalable backend deployment I also focus on: • Clean architecture • Reliable communication • Fast response and updates • Scalable long-term solutions I’m available to start immediately and would be happy to discuss the workflow, infrastructure, and deployment strategy in more detail. Looking forward to working with you.

@ammark477

Hi, I can help you build a production-ready Vertex AI voice and WhatsApp bot system that keeps conversations perfectly synchronized across calls and messaging while handling lead qualification, follow-ups, and sales workflows efficiently. I understand the importance of maintaining identical logic between voice and WhatsApp interactions so leads experience a seamless transition between channels without losing context. What I can deliver: • Google Vertex AI powered voice bot for inbound/outbound calls • Natural conversational flows for lead qualification and product demos • WhatsApp Business API chatbot synced with the same intent/context logic • Twilio Voice / Dialogflow CX integration support • CRM-ready backend with webhook integrations and transcript logging • Lead scoring, scheduling, follow-up automation, and conversation tracking • Admin-friendly script/FAQ management without redeployment Technical approach: • Vertex AI + Dialogflow CX for conversational orchestration • Twilio Voice for call handling and telephony workflows • WhatsApp Cloud API integration for mirrored messaging • Backend APIs/webhooks for CRM synchronization and transcript delivery • Secure conversation logging with scalable architecture I’m ready to discuss the workflow structure and begin building a scalable production-ready solution. Best regards, Amar Sajid

@shahidhabib791

Hello I can build a production ready omnichannel voice and WhatsApp sales bot using Google Vertex AI with a shared intelligence layer so voice and chat always stay perfectly in sync I will design the system so Vertex AI handles the voice agent with natural speech inbound and outbound calling lead qualification follow up scheduling and product demo flows using structured conversation logic that can be updated directly from Vertex without redeploying code On top of this I will build a WhatsApp Business Cloud API chatbot that uses the same intent engine state management and decision tree so every conversation continues seamlessly between call and chat For example if a user drops the call they instantly receive the same context on WhatsApp and if they reply on WhatsApp the same flow continues as the voice bot All interactions will be stored in a secure backend with full logging lead scoring and status tracking I will expose real time webhooks so your CRM receives transcripts qualification results contact details and outcomes within seconds after each interaction The architecture will include Dialogflow CX or custom orchestration with Vertex AI Twilio Voice integration WhatsApp API and a centralized conversation memory layer to ensure consistency across channels Deliverables include voice bot WhatsApp bot backend system webhook integration script management interface and full deployment setup with documentation. Best regards Habib Ullah.

@srdank001

Hello, Hope you are doing well. I am confident I am a strong fit for this project because I have experience building AI-powered automation systems that combine voice agents, chatbot workflows, backend integrations, and CRM synchronization. I have previously worked with conversational AI platforms, webhook-based automations, API integrations, and business communication systems designed for lead qualification, customer engagement, and workflow automation. For this project, I can build a production-ready voice and messaging automation system using Google Vertex AI as the intelligence layer for call handling, lead qualification, follow-up scheduling, and scripted product demonstrations. The WhatsApp bot will be integrated through WhatsApp Business Cloud API so conversations remain synchronized with the same intent flow, context state, and next-step logic as the voice bot, ensuring seamless parity between channels. The backend will securely log conversations, manage lead statuses, store transcripts, and expose CRM-ready webhooks for real-time data transfer including contact details, qualification outcomes, and conversation history. The system will also support updating sales scripts and FAQs without requiring full code redeployment for operational flexibility. I am available to discuss architecture, timeline, and deployment requirements once project details are shared. Best regards.

@ravikumarsingh1

This is not just a voice bot project—it’s a synchronized multi-channel AI conversation system where voice and WhatsApp must behave as one shared agent with identical memory, logic, and lead-state transitions. That synchronization layer is the critical part, and I understand the architecture required to make it reliable in production. I’ve worked on AI automation systems involving: Voice AI workflows Twilio integrations WhatsApp Business API OpenAI/LLM orchestration webhook-driven CRM automation conversational state handling How I’d approach this: • Vertex AI / Dialogflow CX conversational flows • Shared conversation-state engine between: voice bot WhatsApp bot • Voice capabilities: inbound/outbound calling lead qualification follow-up scheduling demo-script execution interruption handling • WhatsApp parity: Continue conversations after hangups Same qualification logic Shared context/history Consistent tone + next-step handling • Backend services: Transcript storage Lead tagging/scoring CRM webhook delivery Real-time event processing • Editable knowledge layer: Update scripts/FAQs without redeployment Admin-friendly prompt/config structure Deliverables • Production-ready voice + WhatsApp AI system • CRM webhook integration Focus Areas Low-latency conversations Human-like interaction flow State consistency across channels Production reliability I’m comfortable with: Vertex AI Dialogflow CX Twilio Voice WhatsApp Cloud API AI workflow orchestration

@agarwalnikita106

Hello, I’m Nikita Agarwal from Groww Per Click. We reviewed your requirement for a production-ready Vertex AI voice + WhatsApp conversational system and can build a unified agent architecture where voice and chat operate on the same intent engine and decision flow. We will design a single AI logic layer that powers both calling and WhatsApp interactions to ensure full context consistency. ✔ Vertex AI voice agent (inbound/outbound calling) ✔ Natural speech sales flow with lead qualification + follow-ups ✔ Product demo scripts handled via dynamic prompt system ✔ WhatsApp Business API chatbot synced with same AI logic ✔ Shared conversation memory for voice ↔ chat continuity ✔ Lead scoring, tagging, and CRM-ready event tracking ✔ Webhook system for real-time transcript + status updates ✔ Script/FAQ updates via Vertex without redeployment ✔ Secure backend with full interaction logging ✔ Follow-up automation for dropped or incomplete calls We will ensure both systems behave identically so users can switch between call and WhatsApp without losing context or progression in the sales funnel. We can also guide the best stack combination (Vertex AI + Dialogflow CX + WhatsApp Cloud API + Twilio where needed) for stability and cost efficiency. We are ready to start immediately after access is shared. Looking forward to collaborating with you. Best Regards, Nikita Agarwal Groww Per Click

@indreshpnk

Hello, I understand you need a production-ready Vertex AI voice and WhatsApp bot that handles inbound/outbound sales calls, lead qualification, follow-ups, and synchronized WhatsApp conversations with identical decision logic. The goal is to deliver a scalable conversational AI system with seamless voice ↔ text parity and real-time CRM integration. Here’s what I can provide: • Vertex AI/Dialogflow CX powered voice bot with natural conversations, lead scoring, scheduling, and demo workflows • WhatsApp Business Cloud API chatbot sharing the same intents, context memory, and conversation flows as the calling agent • Secure backend with transcript logging, CRM webhooks, lead tagging, and dynamic script/FAQ management without redeployment I bring over 4+ years of experience in AI-integrated web applications, Node.js/PHP backends, conversational workflows, REST APIs, and cloud-based automation systems. I’ve worked on chatbot integrations, webhook architectures, and scalable communication platforms focused on reliability and user engagement. Just to clarify a few things: • Which CRM platform will receive webhook data and transcripts? • Do you already have Twilio/WhatsApp Business and Google Cloud accounts configured? Please come to the chat box to discuss more about your project. Best regards Indresh Kushwaha

@TiaanvDyk

This feels like a project where clarity and execution really matter. You need a voice bot and chat bot that work together fluidly, keeping every lead journey consistent whether on call or WhatsApp. Mirroring intent and context to maintain seamless communication, plus real-time syncing with your CRM, means the experience has to be tightly integrated and reliable. I specialize in creating conversational AI using platforms like Vertex AI and WhatsApp Business Cloud. While I am new to freelancer, I have tons of experience and have done other projects off site. I understand how important clean, professional flows are for sales automation and have delivered similar lead qualification and follow-up systems that emphasize data syncing and script flexibility without redeployment. I would love to chat more about your project! Regards, Tiaan

@Thiran003

Hello, I can build a production-ready AI voice and WhatsApp automation system using Google Vertex AI, Dialogflow CX, Twilio Voice, and WhatsApp Business Cloud API with shared conversational logic across both channels. My approach: • Build inbound/outbound AI calling workflows for lead qualification, follow-ups, and product demos • Integrate WhatsApp bot with the same intent/context engine to maintain voice ↔ chat parity • Implement CRM webhooks for transcripts, qualification scores, and lead status updates • Create admin-friendly script/FAQ management so updates can be made without redeployment • Store conversations securely with real-time sync between call and chat flows Features included: • Natural AI voice conversations • Follow-up scheduler and lead tagging • WhatsApp continuation after missed or dropped calls • Real-time webhook/API integration • Centralized backend and analytics logging Tech Stack: Google Vertex AI, Dialogflow CX, Twilio Voice, WhatsApp Business API, Node.js/Python backend, Webhooks, Cloud Functions I can also share architecture ideas and implementation flow for scalable deployment and future CRM integrations. Looking forward to discussing your workflows in detail.

@koltinApp

I build production-grade voice + WhatsApp AI bots and this project matches my core stack exactly. **My approach for your Vertex AI Call & WhatsApp Bot:** 1. **Voice calling agent (Vertex AI):** Build on Google Vertex AI Conversation (CCAI) with natural-sounding speech, lead qualification flow, scheduled follow-up triggers, and product demo walkthrough script — all in a decision-tree architecture that mirrors your sales process 2. **WhatsApp Business API parity:** Every voice call decision tree is mirrored exactly in WhatsApp chat — same intent recognition, same context variables, same lead scoring. A lead who hangs up mid-call immediately gets the follow-up on WhatsApp with full context intact 3. **Context sync engine:** Shared state between voice and WhatsApp using a real-time database (Firestore/Redis) so any interruption = seamless handoff 4. **Lead management:** Qualified leads auto-pushed to your CRM (Google Sheets, HubSpot, or any webhook-compatible CRM) 5. **Fallback to human:** Graceful escalation when bot confidence is below threshold **Tech stack:** Google Vertex AI CCAI + WhatsApp Business API + n8n for orchestration + Firestore for state sync I've worked with both Meta's messaging APIs and Google Cloud's conversational AI — the context-parity between voice and text is the hard part, and I know exactly how to solve it. Timeline: 7 days | Ready to start immediately.