AI Voice Receptionist & Chatbot

@Hrolgar

The part that decides whether this works isn't the voice AI, it's getting a phone call and a WhatsApp thread to land on the same lead record in your CRM without someone stitching them together afterward. That's what I'd build first. Worth being upfront about Darija: French speech recognition is solid out of the box, but Darija mixes Arabic, French and Berber, and most engines don't transcribe it cleanly. I'd run it as a hybrid, French handled natively, Darija routed through a model tuned closer to dialectal Arabic, and I'd rather say that now than promise clean recognition and have you find the gap on a live call. Calls and WhatsApp both write into one lead record with the recording and transcript attached, booking goes to Google Calendar, and anything the bot can't resolve hands off to a human mid-conversation. After the call, a WhatsApp follow-up fires on its own. Prompts, hours and templates sit in a simple panel your team can edit without touching code. M1: intake plumbing, CRM lead schema, Calendar booking, $250, 5 days. M2: bilingual voice flows, recording/transcript logging, human handoff, $275, 6 days. M3: automated WhatsApp follow-up, editing panel, testing and tuning, $225, 5 days. 750 covers what's in the brief. If call volume or the number of WhatsApp templates comes out bigger once scope is locked, I'll flag it before M2, not after. Is the CRM something you already use, or should that get built as part of this?

@corpmember29

Hello, I am a honest dedicated full time developer. I read your requirements carefully and understood very well about the project scope and start working accordingly in stages. I am having more then 11+ years of experienced in programming and i believe that i can start working step by step and achieve the project goal in short time frame. successfully implement this project from start-to-finish. Let's come together and create a platform that not only propels your business but also stands out prominently within the marketplace. Thanks

@OutsourceMan

Hi Valuable Client, CnEL India can build this production-ready AI receptionist and WhatsApp automation system with a shared CRM, knowledge base, and calendar workflow. **Our methodology:** 1. **Discovery & Architecture** – Map call, WhatsApp, CRM, booking and human-handoff workflows and select reliable voice/WhatsApp/LLM services. 2. **AI Voice Receptionist** – Configure natural multilingual conversations, approved knowledge responses, data collection, appointment booking, transcription and escalation. 3. **WhatsApp Assistant** – Build a connected assistant using the same knowledge base and business rules, with appointment availability and lead capture. 4. **Central CRM** – Create one structured contact/lead database containing customer details, conversations, transcripts, recordings, appointments and status. 5. **Automation** – Implement phone-to-WhatsApp follow-ups, calendar synchronization and team task/handoff workflows. 6. **Admin & Testing** – Provide an easy knowledge-base update process for FAQs, prices and hours, followed by complete end-to-end testing and documentation. We will prioritize reliability, security, maintainability and accurate multilingual handling. We can begin with a technical discovery and validate the required third-party services before full implementation. Best Regards, CnEL India

@rakhshanz3

As a seasoned AI developer with diverse expertise in voice and chat agents, CRM database integration, and full stack SaaS applications, I possess the skills you require for this comprehensive AI project. My extensive experience can ensure that your AI receptionist system is not only prodution-ready and efficient, but it's also easily manageable for your non-technical team after deployment. In terms of architecture, I propose designing an AI system powered by advanced Natural Language Processing (NLP) capable of understanding multiple languages as required for French and Moroccan Darija. To achieve this, I'll implement a shared CRM/database to assimilate caller's data from both the phone and WhatsApp channels. This integrated sistem will give you the ability to view a prospect's complete history in one contact record.

@SkillCrafts

I understand you're looking for an AI voice receptionist capable of handling French and Moroccan Darija calls, similar to how many advanced virtual assistants manage multilingual customer interactions. My experience in developing robust natural language understanding (NLU) models and integrating them with telephony APIs allows for precisely this kind of sophisticated conversational agent. My approach will involve leveraging a state-of-the-art NLU framework (e.g., Rasa or Dialogflow) fine-tuned for your specific business context and target languages. For voice recognition and synthesis, I'll integrate with services like Twilio's Programmable Voice for call handling and Google Cloud Text-to-Speech for natural voice output. The conversational flow will be designed to capture the required caller details efficiently, with robust error handling and fallback mechanisms. Data will be structured for seamless integration with your CRM and calendar. To ensure the best fit, could you clarify the preferred method for CRM data synchronization (API, webhook, or file export)? Also, what level of complexity is expected for the "approved questions" – simple FAQs or more dynamic information retrieval? I’m eager to discuss how we can build a highly effective AI receptionist for your business.

@huzaifa306

Hi, I would build this using Vapi for the AI phone receptionist, WhatsApp Cloud API, n8n for orchestration, and Supabase for the shared CRM and knowledge base, with Google Calendar for appointments. Both channels would use the same contact data, conversation history, FAQs, lead status, and appointment flow. French and Moroccan Darija can be supported through the voice and language models, with controlled business knowledge to keep responses accurate. Phone to WhatsApp follow up would be handled automatically after eligible calls, with human transfer or task creation for complex requests. I have 3+ years of experience building AI voice agents, CRM systems, API integrations, and automation workflows, including similar lead capture, appointment booking, and follow up systems. For a production ready version, I would estimate 2 to 3 weeks, depending on the final call and WhatsApp requirements. The main third party costs would be Vapi/voice usage, WhatsApp messaging, AI model usage, phone number/SIP, and hosting, which you would pay directly. I can provide deployment, testing, documentation, and a simple way for your team to update the knowledge base without changing code.

@mughiraaa

hi, i have reviewed the details of your project. i have strong experience with ai voice agents, whatsapp automation, crm integration, and ai workflows. i can build both assistants around one shared backend and knowledge base, using a voice platform, whatsapp cloud api, and a secure crm database with google calendar integration. the system will handle french and moroccan darija, lead extraction, appointments, transcripts, call recordings, human handoff, and phone to whatsapp follow ups. i will also provide a simple admin area where your team can update services, prices, faqs, and opening hours without touching code. the system will be tested end to end and deployed with clear documentation. third party costs such as telephony, whatsapp, ai usage, and hosting will be separate. can we schedule a quick meeting to discuss the project in detail. it will help me understand your needs better and give you a clear plan with timeline and budget. i will also share my portfolio during the chat. mughiraa

@Walkingdreams

With a team that has served global clients impeccably for over 13 years, Walking Dreamz Technologies is here to level up your business with an AI Receptionist and Chatbot solutions. We have a deep proficiency across various platforms and technologies, and given our expansive portfolio, we've handled MERN, WordPress/PHP and AI-based projects — in fact, we have successfully completed over 300 projects to date with 99% positive feedback. Understanding the uniqueness of your project, we aim to build a system that's reliable, easily manageable by a non-technical team (like yours) post-deployment, and efficiently serves the French and Moroccan Darija-speaking clientele. In terms of CRM management, we're renowned for creating shared databases that store comprehensive prospect data like you're looking for. Whether it's extracting call records, transcripts or keeping track of WhatsApp conversations - rest assured everything will be centralized. Lastly, reliability is key for your project. When you work with us, you can expect clear milestones, frequent demos and transparent updates ensuring your project is consistently on track with a definitive timeline. Post-launch support and documentation come standard; your satisfaction is always paramount. Let’s make this happen together - a stable system today and one that makes future enhancements effortless!

@rbtech1984

Hello!! A voice receptionist chatbot can be built to answer calls, understand customer requests, provide accurate responses, collect caller details, and route or escalate conversations when human assistance is needed. * Which phone/voice provider should the receptionist use? * What types of questions and tasks should it handle? * Should calls be transferred to staff or appointments be booked automatically? The solution will include voice AI integration, speech-to-text and text-to-speech, conversational workflows, business knowledge integration, caller identification, appointment or enquiry handling, call routing, fallback to human staff, conversation logging, API integrations, and monitoring. Relevant AI chatbot, voice AI, automation, API, and customer-support projects have been completed before, creating conversational systems that reduce repetitive work while keeping escalation available for more complex requests. Let us discuss your receptionist workflow and existing systems so we can design the conversation flow around your actual business needs. Best regards Farhin B

@devendrathakur12

Hi, I’m a Senior Software Engineer with 20+ years in AI automation and backend systems. I have gone through your specific requirement for AI receptionist automation. I built something like this for business clients handling automated customer workflows, including Apex Rescue OS and WhatsApp booking automation. I would use a shared Python/Firebase data layer instead of separate CRM stores because phone and WhatsApp histories need one contact record. I will build the voice workflow around transcription, intent handling and calendar actions. WhatsApp Cloud API will use the same knowledge and lead records, while call transcripts and follow-ups stay linked to each contact. And I’d test French and Darija flows with real conversation cases, at least that is where I would start. Relevant AI automation samples and screenshots I can send. Which phone provider and WhatsApp Business account do you already have? Which CRM is used today, if any? Which Google Calendar setup should handle the appointments? Free for a quick call this week? Or just answer those three and I’ll map the first version. Dev Singh

@emrahg7

Hi, I'd start small on purpose here: one phone flow, one WhatsApp flow, both talking to the same contact record and calendar. What I'd leave out of version one is the warm call transfer to a human and multi-language switching mid-conversation. Those add real complexity, and it's better to get the core booking and lead-capture loop solid first, then layer that in once you've seen it handle real calls. For the build, I'd use a voice AI platform for the phone side, a WhatsApp Business API connection for messaging, and a shared database behind both so every lead shows up as one contact with call recordings, transcripts, and chat history in one place. Google Calendar handles the booking sync. Darija and French both need to be tested against real caller accents, not just text, so that's where I'd spend extra time early. Your team updates prices and FAQs through a simple form, no code touching involved. I've built voice-to-CRM flows like this before and the follow-up message trigger is the fun part to get right. This runs about 2 days start to finish. What calendar system are you on right now, Google Calendar itself or something else feeding into it? Best, Emrah

@PINESCRIPTERR

Hi, I’d build the phone and WhatsApp assistants around one shared backend, knowledge base, and contact record so conversations stay connected when someone switches channels. My proposed architecture is a managed voice platform connected to your phone provider, the official WhatsApp Business API, and a Python backend integrating your CRM and Google Calendar. Approved prices and FAQs would remain editable through an admin interface, with unsupported questions routed to your team. French and Moroccan Darija need testing with native speakers, including code-switching, local accents, names, and noisy calls. I’d validate voice recognition and pronunciation before selecting the final speech provider. Booking would include availability checks and duplicate-request protection. Human handoffs would pass the conversation context, while recordings, transcripts, and contact access would follow agreed consent and retention settings. Phone-to-WhatsApp follow-ups would require opt-in and approved templates where applicable, not simply a collected number. I’d test booking conflicts, failed transfers, API outages, and cross-channel contact matching, then document the separately billed telephony, WhatsApp, AI, CRM, and hosting services. Which CRM and business phone setup do you currently use, and is your WhatsApp number already connected to the Business API? Regards, Houssame

@longngoc2307

==== Hi - Truong here ==== "AI PHONE + WHATSAPP RECEPTIONIST" — you need both channels sharing the same leads, calendar, knowledge, and conversation history I’d use a shared backend/CRM as the single source of truth, with the phone and WhatsApp agents using the same business knowledge and appointment rules. For Darija, I’d test real call and message samples rather than relying only on generic language support, especially around mixed French/Darija speech and human handoffs. Should the CRM be built from scratch, or do you already use a CRM that I should integrate with?

@husainahmed2000

Hi There!!! i understand you need a production-ready AI receptionist connecting phone, WhatsApp, CRM, shared knowledge, and calendar, with French and Moroccan Darija support. AI VOICE, WHATSAPP AUTOMATION, CRM INTEGRATION, CALENDAR BOOKING, AND HUMAN HANDOFF EXPERIENCE WITH SIMILAR PROJECTS The solution can include natural voice calls, lead collection, call recording and transcription, WhatsApp follow-ups, shared contact history, appointment booking, knowledge base management, and automated team follow-up. A reliable architecture can be planned for easy maintenance by your non-technical team. Happy to discuss the workflow, technology choices, and deployment requirements in chat. Best Regards, Hussain Ahmed

@invoketech

Hello, I have experience with Android Enterprise, MDM configuration, Miradore, WiFi management, and enterprise device enrollment. I can troubleshoot the SSID instability, review the Open Network Configuration, and configure the required Miradore policies for a stable and seamless connection. I’ll identify the root cause of the disconnect/reconnect issues, optimize the WiFi and enrollment configuration, test the solution across newly enrolled devices, and provide clear documentation so the setup can be easily replicated on other devices. I can work within your 1-week deadline and focus on delivering a reliable, practical solution rather than a temporary workaround. Thanks Invoke

@SidUSA

Hi We are available to take this on and get your AI receptionist and WhatsApp automation working perfectly. The main issue with multi-channel setups is usually ensuring the voice and chat models share a unified knowledge base and state without syncing delays. Are you planning to use Vapi or Retell AI for the phone agent with Twilio, and do you want the CRM built on a custom Node.js/Python stack or a standard platform like GoHighLevel or Airtable? We recently fixed a similar multi-channel AI system for a logistics firm that needed voice and WhatsApp workflows tied to a central database. I used Python with OpenAI's APIs, Twilio for voice/WhatsApp handling, and Retell AI for natural bilingual conversation routing while building an admin dashboard for FAQ updates. I corrected their webhook architecture to prevent dropped call context during handoffs. Our fix stopped their lead data from being lost during busy hours and made the whole booking process way faster for their team. We are eager to discuss the project further. Reach out to initiate a conversation! Best regards, Quantum Code Solutions

@abdf2010

Hi, I am a professional web developer and I can do this project "AI Voice Receptionist & Chatbot", I have 5 years of experience in web development. I have done many projects like this. I can do this job for you. I can start right now. Please contact me. Thanks

@mayankinnovative

The hard part of this build isn't the phone bot or the WhatsApp bot separately, it's making sure a lead that starts as a phone call and continues as a WhatsApp follow-up shows up as one contact record, not two, with one calendar slot that both channels respect. I'd architect this around a single backend service holding the knowledge base, CRM, and calendar logic, with the phone assistant and WhatsApp assistant as two thin clients calling into it, rather than building either as a standalone bot. That's what makes the phone-to-WhatsApp follow-up and shared lead history actually reliable instead of synced after the fact. For voice, I'd use a telephony/voice AI stack like Twilio plus a real-time speech pipeline, since French is well supported, but Darija needs care, it's mostly spoken and mixes Arabic and French, so I'd tune the speech recognition and response prompts specifically on your call recordings rather than trust a general multilingual model out of the box. WhatsApp would run on the official Business API so slot selection and message delivery stay reliable at scale. Appointments write to Google Calendar as the source of truth for both channels, and anything needing a human, quotes, complex requests, creates a follow-up task rather than blocking the caller. For updates, prices and FAQs would live in a simple admin panel your team edits directly, no code involved. What calendar and phone number setup are you currently using, so I can size the integration accurately?

@TeraByte26

Hi tahaberami, I will build a 24/7 AI phone receptionist and WhatsApp assistant that handle French and Darija, collect name, phone, email, reason, notes, book Google Calendar, record calls, sync a shared CRM, and send post‑call WhatsApp follow‑ups. I can deliver a working prototype in 4 weeks for $680 and provide a free demo flow. Waiting for your response in chat! Best Regards.