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Building AI Voice Agents for Production: Partner with Codersarts AI

In the rapidly evolving digital landscape, AI voice agents are transforming how businesses connect with customers and optimize operations. From intelligent virtual assistants to automated customer support systems, these agents deliver seamless, human-like interactions that drive engagement and efficiency.


At Codersarts AI, we specialize in building production-ready AI voice agents tailored to your unique business needs. If you’re ready to integrate cutting-edge voice technology, our expert team is here to deliver a custom solution that powers your success.


Building AI Voice Agents for Production – Codersarts AI



Why AI Voice Agents Are a Game-Changer

AI voice agents offer transformative benefits for businesses across industries:

  • Enhanced Customer Experience: Provide 24/7 support with natural, conversational responses, boosting customer satisfaction.

  • Operational Efficiency: Automate repetitive tasks like scheduling, order tracking, or inquiries, freeing up your team for strategic priorities.

  • Scalability: Handle thousands of interactions simultaneously, ideal for businesses of all sizes.

  • Personalization: Leverage advanced natural language processing (NLP) to deliver tailored responses based on user data.

  • Cost Savings: Reduce operational costs by automating customer service without sacrificing quality.


Whether you’re in e-commerce, healthcare, finance, or hospitality, AI voice agents can elevate your customer engagement and streamline processes.



Challenges of Building Production-Ready AI Voice Agents

Developing AI voice agents for production involves overcoming several technical challenges:

  • Natural Language Understanding: Accurately interpreting diverse accents, slang, and complex queries.

  • Low Latency: Ensuring real-time responses for a seamless user experience.

  • System Integration: Connecting agents with CRMs, APIs, or databases.

  • Scalability: Supporting high volumes of interactions without performance degradation.

  • Security and Compliance: Adhering to regulations like GDPR or HIPAA to protect user data.

  • Continuous Improvement: Incorporating feedback and machine learning to keep agents adaptive.


At Codersarts AI, we tackle these challenges with expertise and a robust tech stack designed for production-grade solutions.




👋 Give Your Users a Voice

AI Voice Agents are transforming how businesses interact with users — from automating customer service to creating hands-free assistants for apps, kiosks, and devices.


Codersarts helps you design, build, and deploy voice agents that actually talk.


What We Build

Voice Interaction Pipelines:

  • Speech-to-Text (Whisper, Google STT, AssemblyAI)

  • Natural Language Understanding (GPT-4o, LLaMA 3, LangChain)

  • Text-to-Speech (ElevenLabs, Azure TTS, Bark)

  • Voice Activity Detection (Silero VAD)


Latency-Optimized Agents

  • Real-time streaming pipeline

  • Time-to-first-token & speech metrics optimization

  • Audio feedback within 1–2 seconds



Our Tech Stack for AI Voice Agents

Inspired by industry best practices, such as those outlined in DeepLearning.AI’s course on building AI voice agents, we leverage a powerful and modern tech stack to deliver high-performance voice agents. Below is a snapshot of the tools and frameworks we use, including the provided stack for seamless development:


  • Core Programming and Environment Management:


import logging 
from dotenv import load_dotenv  
_ = loaddotenv(override=True) 
logger = logging.getLogger("dlai-agent") logger.setLevel(logging.INFO)

  • Purpose: We use logging for robust debugging and monitoring, ensuring transparency during development and production. The dotenv package securely manages environment variables, keeping sensitive data like API keys safe.



  • LiveKit for Real-Time Communication:


from livekit import agents
from livekit.agents import Agent, AgentSession, JobContext, WorkerOptions, jupyter

  • Purpose: LiveKit powers real-time voice and video interactions, enabling low-latency, scalable communication for voice agents. Its Agent and AgentSession modules allow us to build responsive agents, while WorkerOptions and JobContext ensure efficient task management. The jupyter integration supports rapid prototyping and testing.



  • Speech and Language Processing:


from livekit.plugins import openai, elevenlabs, silero

  • OpenAI: We leverage OpenAI’s advanced NLP models (e.g., GPT-based models) for natural language understanding and generation, enabling agents to handle complex conversations.

  • ElevenLabs: This provides high-quality, expressive text-to-speech (TTS) capabilities for lifelike voice outputs.

  • Silero: A lightweight, efficient TTS and speech-to-text (STT) solution for fast and accurate transcription and synthesis.



  • Additional Tools:

    • Speech-to-Text (STT): We integrate solutions like Deepgram, Google Cloud Speech-to-Text, or AssemblyAI for accurate transcription across languages and accents.

    • Text-to-Speech (TTS): Beyond ElevenLabs, we use Amazon Polly or Google Text-to-Speech for natural, multilingual voice outputs.

    • NLP Frameworks: We employ Hugging Face Transformers, BERT, or LangChain for advanced language processing and intent recognition.

    • Dialog Management: Frameworks like Rasa or custom dialog systems manage conversation flows and complex user intents.

    • Backend Infrastructure: We deploy on AWS, Google Cloud, or Azure for scalable, low-latency performance.

    • APIs and Integrations: We use Twilio for telephony, Zapier for workflow automation, and RESTful APIs/WebSockets for seamless system integration.

    • Machine Learning: TensorFlow or PyTorch powers model training and fine-tuning for continuous improvement.


  • Security and Compliance: We implement encryption, secure APIs, and compliance protocols to meet standards like GDPR, HIPAA, or PCI-DSS.


This tech stack ensures your AI voice agent is scalable, secure, and optimized for production environments.



Real Cost of Running a Voice Agent (Per Minute)

Here’s what you’re really paying when your AI voice agent speaks:

Component

Avg. Cost / Minute

STT (Whisper)

$0.006

LLM (GPT-4o)

$0.01–$0.03

TTS (ElevenLabs)

$0.01–$0.015

Infra

$0.005–$0.01

🔎 Total: ~$0.03 – $0.06 per minute of conversation

Want to optimize this? We’ll design your stack to match budget + performance needs.



Why Choose Codersarts AI?

At Codersarts AI, we don’t just build voice agents—we create solutions that drive measurable business impact. Here’s what sets us apart:

  1. Tailored Solutions: We design voice agents customized to your goals, whether it’s automating customer support, enhancing e-commerce, or streamlining workflows.

  2. End-to-End Development:

    • Requirement Analysis: Aligning with your business and technical needs.

    • Prototyping: Building proofs-of-concept to validate functionality.

    • Development: Using agile methodologies and our advanced tech stack.

    • Integration: Connecting agents with CRMs, ERPs, or APIs.

    • Testing and Optimization: Ensuring low-latency, high-accuracy performance.

    • Ongoing Support: Providing updates and maintenance for long-term success.

  3. Expert Team: Our developers, data scientists, and AI engineers are proficient in tools like LiveKit, OpenAI, and ElevenLabs, ensuring cutting-edge solutions.

  4. Scalable and Secure: Our agents scale with your business and adhere to strict security standards.

  5. Proven Success: We’ve delivered AI voice solutions for startups and enterprises across industries.



Use Cases for AI Voice Agents

Our solutions cater to a wide range of industries:

  • Customer Support: 24/7 agents for inquiries, troubleshooting, or escalations.

  • E-Commerce: Voice-based product searches, order tracking, and recommendations.

  • Healthcare: HIPAA-compliant agents for scheduling or patient follow-ups.

  • Hospitality: Automated booking systems and multilingual concierge services.

  • Finance: Secure agents for account inquiries or fraud detection.


Business Use Cases We Deliver

  • Call Center Automation: Respond to queries, route calls, and reduce support load.

  • Healthcare Appointment Assistant: Voice bot to help patients schedule, reschedule, or cancel appointments.

  • HR Assistant for Internal Teams: Let employees ask HR policy questions or apply for leave using voice.

  • Logistics & Delivery Updates: Provide real-time delivery ETA updates or feedback collection through voice.

  • Voice-Enabled Shopping Bots: Add voice to your eCommerce experience—search, order, and track.



Our Development Process

We follow a streamlined process to deliver production-ready AI voice agents:

  1. Discovery: Collaborate to understand your goals and technical requirements.

  2. Prototyping: Develop a proof-of-concept using tools like LiveKit’s jupyter for rapid validation.

  3. Development: Build the agent with our tech stack, ensuring scalability and performance.

  4. Testing and Deployment: Rigorously test for accuracy, latency, and compliance before launching.

  5. Support and Optimization: Provide ongoing maintenance and updates to keep your agent cutting-edge.



Getting Started: Your Voice Agent Roadmap

The journey to implementing your custom AI voice agent starts with a conversation:

  1. Initial Consultation: We'll explore your specific business challenges and identify prime opportunities for voice automation.

  2. Proof of Concept: We can quickly develop a targeted demonstration to validate the approach for your specific use case.

  3. Roadmap Development: Together, we'll create a phased implementation plan that delivers early wins while building toward a comprehensive solution.


Ready to transform your customer experience with AI voice agents? Contact Codersarts AI today to discuss how our expertise can bring your voice strategy to life.



Don’t wait to revolutionize your customer engagement and operational efficiency. Partner with Codersarts AI to build a production-ready AI voice agent powered by LiveKit, OpenAI, ElevenLabs, and more.






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