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    WhatsApp Conversational AI Agents on AWS

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    Sold by: binbash 
    binbash delivers advisory and end-to-end implementation of AI conversational agents on AWS Bedrock, with WhatsApp text and voice integration.

    Overview

    Whatsapp AI Conversational Agent Implementation on AWS

    binbash delivers consulting and implementation services for AI and Generative AI solutions built on AWS. The team brings hands-on experience designing, validating, and deploying conversational agents - including text and voice over WhatsApp.


    Two Engagement Models to Match Your Needs

    Advisory/Consulting: Binbash experts advise and support your technical team through design, validation, and implementation phases, working in short, results-oriented iterations.

    End-to-End Implementation: Binbash handles the complete solution build, including infrastructure components, agent logic, knowledge bases, WhatsApp integrations (text and voice), and production deployment.


    Delivery Structure (Based on Executed Projects)

    Engagements follow a milestone-based approach spanning approximately 4-6 weeks:

    • Foundations, Messaging, and Data Layer : Base infrastructure setup, WhatsApp Business API integration, and data layer configuration with S3, DynamoDB, and RDS.
    • Core Agent Infrastructure ): Conversational agent construction with AWS Bedrock Agents, orchestration via Step Functions, and Lambda functions.
    • Tools, Knowledge Base, and Integrations (Weeks 3-4): Bedrock Knowledge Bases configuration, vector databases (OpenSearch, Redis), and external API integrations.
    • Agent Logic, User Flows, and Production Readiness (Weeks 4-6): Advanced conversational logic, voice and text flows, testing, documentation, and handoff.

    AWS Components Supported

    • AWS Bedrock (Agents, Foundation Models, Knowledge Bases)
    • AWS End User Messaging
    • AWS Step Functions
    • AWS Lambda
    • Amazon S3, DynamoDB, RDS (within AI pipelines)
    • Vector databases: OpenSearch, Redis
    • WhatsApp Business API (text and voice)

    Binbash combines deep AWS expertise with practical GenAI implementation experience, enabling organizations to move from concept to production-ready conversational AI solutions efficiently and predictably.

    Highlights

    • Built on proven AWS services: Solutions leverage AWS Bedrock Agents, foundational models, and Knowledge Bases orchestrated with Step Functions and Lambda. Data layers use Amazon S3, DynamoDB, and RDS, while vector databases such as OpenSearch and Redis power retrieval-augmented generation. WhatsApp Business API integration supports both text and voice conversational channels.
    • Flexible delivery options: Choose between advisory consulting, where binbash guides your technical team through design, validation, and implementation in short result-oriented iterations, or a full end-to-end implementation covering infrastructure, agent logic, knowledge bases, WhatsApp integration, and production deployment.

    Details

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    Deployed on AWS
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    Support

    Vendor support

    binbash provides professional support to all customersthrough multiple channels to ensure a smooth and successful engagement.

    Support Channels

    Email: Direct support via our dedicated support email address Phone: Voice support available upon request Slack: Real-time collaboration via a dedicated Slack channel shared at the start of your engagement Business Hours Monday through Friday, business hours (GMT-3). Support requests received outside of business hours will be acknowledged and addressed on the next business day.

    Languages Support is available in English, Spanish, and Portuguese.

    Response Times

    Email and Slack: Initial response within 2-4 hours Phone: Available during business hours for active engagements Scope of Support Our team provides guidance on migration planning, architecture decisions, implementation questions, and post-migration validation throughout the duration of your engagement.

    Email sales@binbash.com.ar  Phone +5511939452939