Multi-Platform Automated Agent Development

@onkarkulkarni8

Hi, I can help with your "Multi-Platform Automated Agent Development" project. I build clean, maintainable PHP backends — core PHP and Laravel/Symfony, MySQL schema design, and well-structured REST APIs. For work involving php, javascript, mobile app development, android, api development, natural language processing, ai chatbot development, ai integration, I pay close attention to validation, security, and readable code, delivering in small, testable milestones. You'll get clean commits and clear documentation. Can we discuss the specifics before I firm up the timeline? ⭐ 5.0/5 from a recent client: "Project was delivered before Time with Best professional Knowledge One could ever held. Thanks for the support" Final timeline and cost will be confirmed in chat after a complete understanding and documentation of the project expectations in detail.

@VirasatSolutions

Hi, I can build a scalable AI automation platform with intelligent agents that seamlessly handle customer support, sales, delivery coordination, and CRM synchronization across your website, social channels, and mobile applications. Here's what I'll deliver: ✔️ AI agents for Customer Support, Sales, Data Collection & Delivery Coordination ✔️ Unified knowledge base with consistent responses across Web, Facebook, Instagram & Mobile ✔️ CRM integration with structured conversation logging and analytics ✔️ Lead qualification, product recommendations & cart recovery automation ✔️ Smart human handoff based on confidence score or customer request ✔️ Multilingual-ready architecture with easy future language expansion ✔️ Complete documentation, deployment guide & well-commented source code For this solution, I'd recommend Rasa + OpenAI/LLM integration due to its flexibility, multi-channel support, enterprise scalability, and full control over workflows without vendor lock-in. The initial implementation can be delivered within 4–6 weeks, followed by optimization and fine-tuning based on real user interactions. I focus on building production-ready AI systems that are secure, scalable, and easy to maintain, ensuring a consistent experience across every customer touchpoint. Let's discuss your workflows and build an AI automation platform that significantly reduces manual effort while improving customer engagement. Abhishek

@ravichedwal

As an experienced Full Stack Developer with a strong focus on AI Chatbot Development who has successfully delivered over 145 projects, I'm confident in my ability to meet and exceed your specific requirements for this Multi-Platform Automated Agent Development project. With proven expertise in PHP, JavaScript, Android, and Mobile App Development, I bring a versatile skill set that aligns seamlessly with your needs. When it comes to chatbot frameworks, you can count on me to choose the right one for your project contextually. From utilizing Dialogflow for its easy user interface and comprehensive platform integrations to Rasa for its open-source and language-agnostic features or Microsoft Bot Framework for its excellent natural language processing capabilities, I'll pick the most suitable one based on deep understanding of your use-case.

@pinkeegupta

Hi I will be able to help you. Please message me so that we will have detail technical discussion. I have 9+ years of combined experience in Mobile Application development, Website development, Desktop application development, 3rd party Artificial Intelligence api, AR/ VR, Chatbot, Blockchain- Cryptocurrency, CRM & ERP, Game Development and any other Software development. Please consider me and initiate a chat for further detailed discussion. Regards, Anju Logical Soft Tech Pvt Ltd, Indore(M.P)

@fullstack0407

I have read your job post. I am an AI and Full Stack Developer with experience building AI chatbots, customer support automation, CRM integrations, and multi-channel conversational platforms using OpenAI, Gemini, Rasa, Dialogflow, Microsoft Bot Framework, Node.js, Python, and REST APIs. I would recommend Microsoft Bot Framework with Azure Bot Service or a custom AI orchestration layer using OpenAI/Gemini and Rasa. This provides a single knowledge base, multi-channel deployment (website, Facebook, Instagram, and mobile apps), seamless human handoff, CRM synchronization, multilingual support, analytics, and the flexibility to expand as your business grows. The solution will include well-documented source code, deployment guides, and an architecture that is easy to maintain and fine-tune. An initial MVP can typically be delivered within 6–8 weeks, followed by ongoing optimization based on conversation analytics and user behavior.

@ashinnd84

Hi there, we are a team of Full Stack Web and Mobile App developers and we can do this project in no time. Thanks Ashish Kumar.

@mahads31

Hey, I've gone through your project details, and I can help you build an intelligent multi-channel AI agent system that delivers consistent, reliable interactions across your website, social platforms, and mobile apps. I'd recommend using a scalable framework that supports a centralized knowledge base, seamless CRM integration, multilingual expansion, and smooth handoff to live agents when needed. The solution will be designed with modular conversation flows, well-documented code, and deployment guidance for web chat, Facebook/Instagram, and mobile platforms, making future updates and ongoing optimization straightforward. One quick question: which CRM and website platform are you currently using so I can plan the integrations accordingly? Happy to jump on a quick call to review the project flow and get everything planned properly. Best Regards, Mahad

@shayankhan333

The biggest risk with multi-platform agents isn't building them, it's keeping one source of truth so answers don't drift between web chat, Instagram DMs, and the mobile app. I'll use Dialogflow CX for this. It handles multi-turn flows and intent confidence scoring natively, which makes the human handoff logic cleaner than Rasa for a project at this scale. I'll set up a single knowledge base with fulfillment webhooks that push structured conversation data into your CRM in real time. The four agent functions (support, sales, data capture, delivery) will share that base but run separate flow modules so you can tweak one without breaking another. Best regards, Shayan

@NEHABHAT92

As someone who understands the complexities of efficient automated systems, I can confidently say that your project aligns perfectly with my skill set and professional experience. With my team's profound knowledge in AI Chatbot Development, we have successfully created solutions similar to what you need using various frameworks including Dialogflow, Rasa, and Microsoft Bot Framework. After reviewing your requirements carefully, I'd suggest Dialogflow for its robust natural language processing capabilities...

@FreeLancers360

Hi there, Your project "Multi-Platform Automated Agent Development" instantly caught my attention — it's exactly the kind of work we love to take on. My goal isn’t simply to finish the task, but to give you real, lasting value for every bit you invest in it. From your brief I can see this involves android, ios, mobile app — all areas we handle in-house. We specialise in PHP, JavaScript, Mobile App Development, Android, which lines up directly with what you need. How we'd approach it: - Finalise the screens, user flows and feature list with you - Build smooth, native-feeling UI with clean, maintainable code - QA on real devices, then prepare and ship to the store(s) - Post-launch support and iteration once you’re live I also noted you don’t need heavy engineering help — that’s clear, and I’ll keep the work clean and strictly on-brief. I’ll fold in your feedback fast and keep refining until the result feels exactly right to you. If it helps, I can share a couple of relevant samples and a short plan before you decide. Looking forward to it! Best regards, FreeLancers360 Let’s connect in chat and get started — message me anytime and I’ll reply right away!

@jaroslavcaprata

The biggest challenge here isn't building individual chatbots—it's creating a single AI system that delivers consistent responses across every channel while keeping conversations, CRM data, and human handoffs synchronized. A shared knowledge base and modular architecture will make future updates much easier than maintaining separate bots. For this project, I'd recommend Microsoft Bot Framework if your priority is multi-channel deployment and enterprise-grade integrations, or Rasa if you prefer greater control over data, workflows, and self-hosting. Both can support a centralized knowledge base, multilingual expansion, confidence-based escalation, CRM synchronization, and deployment across your website, social platforms, and mobile applications. I'd structure the solution with independent services for conversation management, AI orchestration, CRM integration, analytics, and channel adapters. This keeps the system maintainable and allows new platforms or AI models to be introduced without rewriting the core logic. The documentation would include deployment steps and guidance for modifying conversation flows without extensive engineering effort. One question before defining the architecture: which CRM and helpdesk platforms should the agents integrate with, and do you already have an existing knowledge base (documents, FAQs, or website content) that the AI should use?

@ammarahmed20

As an AI Chatbot developer and full-stack engineer with vast experience in AI agents, automation systems, and multi-platform app development, I am the ideal fit for your project. My expertise lies in crafting intelligent automated agents that can enhance productivity and efficiency while relieving your team of repetitive tasks. In using Dialogflow, Rasa, or Microsoft Bot Framework for your project, I would opt for Microsoft Bot Framework since it offers a comprehensive solution suitable for all digital channels across web, social media platforms, and mobile. It provides a consistent knowledge base, supports multiple languages easily, and ensures smooth handoffs between bots and human operators. To ensure your complete control over the system without heavy dependence on engineering help, I will build the solution with clean, well-commented source code and provide detailed documentation. Additionally, my hands-on experience with deployment pipelines for various platforms such as web chat widgets, Facebook/Instagram DMs, and push-enabled chat modules in both iOS and Android means that you can rest assured of a seamless rollout.

@Mayanks010

Hi, Thanks for sharing your project. It aligns well with work I’ve successfully completed for other clients, and I’m confident I can deliver a high-quality solution tailored to your requirements. Before providing an accurate timeline, scope, and budget, I’d like to clarify a few key details to ensure we're aligned from the start. Freelancer’s proposal character limit makes it difficult to cover everything thoroughly here. If you're available, let's connect via chat. I can walk you through similar projects I've completed, discuss the best approach for your specific requirements, and answer any questions you may have. Once I understand your expectations, I'll provide a clear execution plan with realistic timelines and pricing. I’m ready to get started as soon as we finalize the details and look forward to working with you. Best regards, Mayank Sahu

@thiagofoz87

Your project requires more than a simple chatbot setup because the same conversational logic needs to work consistently across web, social channels, and mobile while keeping CRM synchronization and escalation flows reliable. I would approach this as a centralized conversational platform with shared orchestration, channel adapters, and a unified knowledge base. For this scenario, I would use Microsoft Bot Framework combined with Azure/OpenAI-compatible NLP services or Rasa depending on your preference for managed vs self-hosted infrastructure. Bot Framework is strong for multi-channel delivery and operator handoff workflows, while Rasa provides more control over custom dialogue logic and data ownership. I would recommend the final stack after reviewing your CRM, expected traffic volume, and deployment constraints. The implementation would include: - Shared intent and knowledge layer across all channels - FAQ automation, lead qualification, ticket escalation, and delivery workflows - CRM/event synchronization APIs with structured conversation logging - Confidence-based human handoff - Web widget integration plus Facebook/Instagram messaging connectors - Push-enabled mobile chat integration guidance for iOS and Android - Documented deployment pipeline and maintainable source code Initial rollout for the first production-ready version would take approximately 12 to 18 days depending on the number of integrations and existing systems available. After launch, I recommend a short tuning phase focused on improving intent accuracy, conversation flows, and analytics based on real user interactions.

@rajeshrolen

Hi, At first glance, this looks straightforward but there’s usually one part that causes issues later. I’ve handled similar work before and can help you avoid that. Regards, Rajesh

@somendersingh96

Hello, I can build a scalable AI agent system to automate customer support, lead generation, CRM data capture, and delivery updates across your website, social media, and mobile app. I'll create a centralized knowledge base, seamless human handoff, CRM integration, and clean, well-documented code that's easy to maintain and expand. I have experience building AI chatbots, RAG solutions, workflow automation, and multi-channel integrations*, and I'm ready to start immediately. Best regards, Somender Singh

@shailender18

With my extensive experience in web and mobile application development (including proficiency with mainstream frameworks like Dialogflow, Rasa, and Microsoft Bot Framework), I am well-positioned to build the intelligent automated agents you're seeking. My work revolves around harnessing advanced technologies such as artificial intelligence to achieve seamless automation and improve user interaction across various platforms. One strength that separates me from other freelancers is my focus on building scalable, high-performance applications from concept to deployment - which are essential aspects in ensuring a robust agent can handle your day-to-day interactions effectively. Moreover, I have an in-depth understanding and experience in working with databases (MongoDB) for structured data management and analytics - key requirements for this project. Throughout my career, I have developed a strong emphasis on clean coding practices, thoughtful system design, and maximum security. I am able to leverage OAuth and JWT for secure authentication and authorization - guaranteeing not only efficiency but also peace of mind regarding data safety.

@darxfilms8

Hi, I’ve worked across mobile apps, web systems, APIs, Firebase, JavaScript, and real-time workflows, so I understand the challenge of keeping customer conversations consistent across several channels. I’d start with the support and lead-qualification flows, connect them to one controlled knowledge base, then add CRM logging, operator handoff, and delivery updates in testable stages. I would choose the framework after checking your existing stack and channel requirements rather than forcing a tool too early. Which CRM and social accounts are already in use, and is your FAQ content ready?

@Anika1802

Hi, I understand you're looking to build an AI-powered multi-channel automation platform that handles customer support, lead generation, data collection, and delivery coordination across your website, social media, and mobile applications, while maintaining a unified knowledge base and seamless CRM integration. With 8+ years of experience in AI chatbot development, conversational automation, LLM integrations, CRM connectivity, workflow automation, and omnichannel messaging platforms, we can deliver an intelligent, scalable solution with human handoff, multilingual readiness, analytics, and clean, maintainable architecture. Based on your requirements, we can recommend the most suitable framework (Dialogflow, Microsoft Bot Framework, or Rasa) depending on your scalability, customization, and deployment goals. I'd be happy to discuss the technical approach, implementation timeline, and answer any questions before we begin. Regards, Vandini