Outbound Sales Voice Agent Development

@Anika1802

Hi, I am Vandini. I saw this project involves building a fully automated outbound AI voice sales agent using Sarvam AI, and I’ve worked on similar AI voice + automation + CRM-integrated calling systems where real-time conversation handling, lead capture, and follow-up logic were the core focus. I have a backed-up team and hands-on experience in voice AI workflows, telephony integration, conversational automation, and API-driven CRM systems, which aligns well with your outbound sales use case.

@PetrusLubbe

IF YOU’RE NOT HAPPY YOU DON’T PAY. Your need for an automated Sarvam AI voice agent that seamlessly qualifies prospects, generates leads, and manages follow-up calls shows you value consistent lead flow and CRM integration. I’d craft a fully deployable Sarvam AI outbound agent focused on call pacing, dynamic script branching, and voicemail detection—pushing captured data straight to your CRM for real-time lead capture. While I’m new to Freelancer, I’ve built similar voice solutions using Twilio and other platforms that boosted lead conversion. Let’s chat! Worst case, you get a free consultation. Regards Pietie L.

@hephaestuswork

Desarrollar un agente de voz automatizado de ventas con Sarvam AI y n8n para mejorar la experiencia del cliente. Utilizando Claude para el procesamiento de lenguaje natural, podemos crear un sistema que se integre con la plataforma de Sarvam AI para realizar llamadas automatizadas y personalizadas. Esto se logrará mediante la configuración de flujos de trabajo en n8n que conecten Sarvam AI con Claude para el análisis y generación de respuestas. Los entregables incluirán un agente de voz completamente funcional con capacidad para realizar llamadas, respuesta a preguntas frecuentes y soporte técnico durante 6 meses. El desarrollo se llevará a cabo en 30 días, con los siguientes hitos: Dia 1-5 para configuración inicial, Dia 6-15 para desarrollo de la lógica de llamadas y Dia 16-25 para pruebas y ajustes. Finalmente, en los últimos 5 días se realizará la entrega y capacitación. ¿Está listo para comenzar con el desarrollo de su agente de voz automatizado?

@AsifTech21

Having pioneered various AI projects, including an AI email responder that reduced manual workload by 80%, I am confident in my ability to build and deploy your fully automated outbound voice agent on the Sarvam AI platform. My deep experience with AI Chatbot Development aligns perfectly with your project scope, ensuring that I not only deliver a deployable Sarvam AI voice agent for outbound sales but also provide you with the source code and a brief hand-off guide to ensure ease of use. More so, being skilled in Natural Language Processing (NLP), call pacing, voicemail detection, basic objection handling, and dynamic script branching are terrain I'm familiar with. Having built successful models executing similar functions in past projects, I understand the needs for follow-up calls that reference previous interactions to maintain consistency which is essential for the success of your project. My tech stack includes Python, FastAPI and an array of Automation Tools matter ensuring that we stay within your current preference not requiring unnecessary tool switch. I'm fully available to commence on this immediately and assure you that leveraging on my diverse skills will bring about outcomes that save you time while reducing manual effort ultimately leading to scalable operations.

@Robertx2002

Your need for an uninterrupted, fully autonomous outbound agent that not only handles calls but also captures leads and triggers follow-ups hits the mark on sales automation challenges. Maintaining natural call flow with Sarvam AI’s native tools while respecting call pacing and responsiveness is critical for genuine engagement. I will craft the voice agent to seamlessly integrate your CRM for immediate lead capture, implement adaptive script branching using Sarvam AI’s NLU, and build voicemail detection aligned with call timing protocols. Expect a ready-to-deploy system with comprehensive source annotations and a clear, concise guide within ten business days. How would you prioritize objections versus lead qualification metrics during calls to tailor the script’s branching logic most effectively?

@amit210279

Hi there, You’re in the RIGHT PLACE! I’ve worked on SIMILAR PROJECTS multiple times and understand how to deliver this EFFICIENTLY and CORRECTLY from the start. While I’m NEW to Freelancer.com, I bring 17+ YEARS OF EXPERIENCE from other freelancing platforms, successfully delivering HIGH-QUALITY PROJECTS and REAL RESULTS for clients. To provide an accurate SCOPE, TIMELINE, and COST, I’d like to ask a few KEY QUESTIONS. Due to Freelancer’s character limit, it’s difficult to cover everything here. Let’s connect in CHAT so I can: • Share RELEVANT PAST WORK • Understand your EXACT REQUIREMENTS • Propose a CLEAR and EFFECTIVE ACTION PLAN I’m confident you’ll find my approach PRACTICAL, TRANSPARENT, and RESULTS-DRIVEN. If you're ready to get this done the RIGHT WAY, I’d be happy to get started. Looking forward to CONNECTING with you. Best regards, Amit Ranjan

@tranquilai

Hi, We can build your Sarvam AI outbound voice agent to handle full sales flows—dialing, qualification, follow-ups, and CRM sync—while maintaining natural conversation continuity. We’ve worked with voice AI systems (Twilio/VoIP + NLP flows) and dynamic call logic, so this aligns well. We can deliver this for ₹22,000 within 4 days, fully configured and deployable. Our Approach Voice Agent Core (Sarvam AI) • Dynamic call scripts with branching (qualification + objections) • Context retention for follow-up calls (feels like same rep) • Lead capture during call → pushed to CRM instantly Call Handling • Auto dialing + pacing logic • Voicemail detection + fallback handling • Smart retries + follow-up scheduling CRM Integration • API-based lead sync (real-time updates) • Store call outcomes + notes for future calls Conversation Flow • Multi-step qualification (intent + response mapping) • Natural transitions (no robotic switching) • Script tuning for better conversion Focus Smooth, human-like conversations + reliable lead capture + continuity across calls Delivery • Fully configured Sarvam agent • Clean configs/code + comments • Simple guide (scripts, leads, analytics) Ready to build this as a conversion-focused voice system.

@ArasakaSystems

Ross here from Arasaka Systems, hope you're doing well. I've worked on similar projects involving automated outbound voice agents integrating with CRMs, so I understand how crucial it is to have a clean, professional, and high-performing system that delivers seamless lead generation and follow-ups. Your requirement for flawless lead capture, call pacing, and dynamic script branching using Sarvam AI’s full-suite API is clear and aligns perfectly with my approach. I used to run Arasaka Systems from Cape Town, South Africa, and I'm now expanding internationally to bring my expertise to a broader range of clients. With deep experience in Sarvam AI, Twilio, and voice automation, I offer tailored solutions that prioritize smooth integration and reliability. I appreciate you looking over my proposal, it would be a pleasure to be of assistance. Regards, Ross, Arasaka Systems

@aataskesen

Hi! Read your brief carefully. Fully transparent up front: I haven't shipped a public Sarvam AI agent before, but I've built voice/chat agent stacks (Twilio + LLM + CRM webhooks) and Sarvam's docs are clean enough that I can have a working sales-call prototype on their stack within ~3 days of award (no payment until you're satisfied with a live demo call). My plan, end-to-end on Sarvam: • Sarvam Speech (TTS + ASR) for the voice layer — stays on their stack as you require • Sarvam NLU / Llama-based for intent detection + objection handling • Python orchestrator: dial → voicemail detection → dynamic script branching → lead capture → CRM webhook • Follow-up logic: pull last call summary from DB, inject into next-call system prompt so prospect feels continuity (not a bot loop) • Call pacing + retry queue with backoff Deliverables matching yours: 1. Deployed Sarvam AI agent for outbound sales 2. Source + clearly commented config files 3. Hand-off guide: editing call scripts, importing leads, reading analytics dashboard Timeline: 7 days. I'll share daily commits + a recorded demo call by day 4 so you can audit early. Questions to scope tightly: 1. Languages — English-only, Hindi, or multilingual? 2. CRM target — webhook URL or specific platform (HubSpot/Zoho/custom)? 3. Lead-list format — CSV upload, sheet, or API pull? — Ahmet

@aimsoftllc

Hi There!!! I understand you need an experienced partner to engineer a fully automated outbound voice agent on the Sarvam AI platform to conduct end-to-end sales calls. The goal is to deliver a sophisticated agent that dials prospects, qualifies them in real-time, pushes leads to your CRM, and manages intelligent follow-up calls with context-aware continuity to drive higher conversions. ● End-to-End Voice Automation: Leveraging Sarvam AI’s speech synthesis and NLU to manage call pacing, voicemail detection, and dynamic script branching for high-impact outbound sales. ● Intelligent Lead Qualification: Implementing real-time data capture during calls with automated CRM pushes to ensure a seamless transition from initial contact to qualified lead. ● Contextual Follow-Up Architecture: Engineering a memory-enhanced system that references previous interactions during follow-ups to maintain a consistent sales rep persona. ● Advanced Objection Handling: Configuring robust logic to navigate common sales objections and trigger subsequent follow-up actions based on prospect responses. Our team utilizes Python, Django, and React.js to deliver a robust voice automation architecture capable of handling high traffic while maintaining a seamless, responsive user experience. We specialize in building complex outbound sales ecosystems that feature secure CRM integrations and intuitive administrative dashboards. Warm Regards, AimSoft LLC