Configurable AI Customer Care Bot

@AwaisChaudhry

Hello, You're building a single configurable AI agent to answer email tickets, handle live chat in real time, and push/pull data from external systems via APIs. I will design a modular stack with a central orchestrator using a capable LLM and a memory layer, plus a knowledge-retrieval module for sources. The config surface will let non-technical staff adjust tone, escalation rules, and knowledge sources using plain language, with no code changes. For CRM integration, I'll implement a secure REST/GraphQL connector for HubSpot first, with options to add Salesforce or Zendesk. All channels will share a unified orchestration, with adapters for email, live chat, and API actions, and a human fallback path. Deliverables: running prototype for three channels, clean, documented codebase, and an admin guide on adding integrations and adjusting behavior. Milestones: architecture and plan; core connectors and flows; config layer and memory; CRM integration and testing; end-to-end prototype and docs; deployment handoff. Tech: Python, FastAPI, LangChain or Rasa for orchestration, PostgreSQL for memory/config, Docker. Timeline: ~8 weeks. Budget: 4500 EUR. Which CRM should be integrated first (HubSpot, Salesforce, Zendesk) and any specific endpoints or data objects to cover? Do you have a preferred LLM provider (e.g., GPT-4, Claude) or is any compliant option acceptable? How should memory and context be managed across tickets and channels (ephemeral vs persistent across sessions) and wh

@LiveExperts

Hello, With over a decade of experience at Live Experts®, my team and I have successfully undertaken and delivered AI projects in diverse niches that align with the scope of your task. We have mastered popular conversational AI frameworks such as Rasa, Botpress, and custom Python/Node micro-services, all of which can be deemed suitable for your project depending on your specific requirements. Our deep understanding in Natural Language Processing (NLP) along with our expertise in AI bot development will enable us to design sophisticated conversation flows and implement robust knowledge retrieval layers efficiently. Additionally, our proficiency in CRM integrations is another considerable asset. We have integrated various CRMs like HubSpot, Salesforce, and Zendesk using REST or GraphQL in earlier projects, proving our ability to ensure smooth two-way data exchange between the bot and external systems. This expertise ties seamlessly into your requirement of connecting to CRMs or any other external systems through their APIs. Moreover, my team's diligent approach to software development will ensure you receive a running prototype covering all three key channels (email support tickets, live-chat conversations, CRM data management), well-documented code repository and a concise guide empowering non-tech users to configure without redeploying the code. Trust us to provide a roadmap with clear milestones, aligned tech stack on completion t Thanks!

@Guptapuru304

We have successfully delivered similar AI chatbot projects, and we're excited about the opportunity to develop your configurable AI customer care bot. Understanding your requirements for a bot that handles support tickets, live chat, and CRM integration with flexibility for non-technical adjustments aligns perfectly with our expertise. With over 8 years of experience in AI-first product development, we specialize in building intelligent, scalable systems. Our proficiency in LLMs, AI-native UIs, and RAG systems using OpenAI and other technologies ensures robust intent detection and conversation memory. We've integrated systems with CRMs like HubSpot and Salesforce, leveraging REST/GraphQL for seamless data exchange. We offer end-to-end solutions, from design to deployment, with a focus on customer-centric delivery and uncompromised quality. Our previous work includes developing AI bots with configurable features and seamless integration capabilities. We're confident in delivering a prototype, a well-documented codebase, and an admin guide that meets your expectations. Q: Which CRM systems do you prioritize for integration? Q: Do you have preferred cloud platforms for hosting the prototype? Let’s collaborate to create an intelligent, adaptable customer care solution. Looking forward to discussing this further. Best regards, Puru Gupta

@ZohaibRoy

⭐⭐⭐⭐⭐ Build a Smart AI Agent for Customer Care and Support ❇️ Hi My Friend, I hope you're doing well. I've reviewed your project requirements and see you are looking for an AI agent for customer care. You don't need to look any further; Zohaib is here to help you! My team has already completed 50+ similar projects for AI bot development. I will create a fully-configurable bot that can handle support tickets, live chats, and connect to CRMs through APIs. I will ensure it accepts plain-language instructions for easy adjustments without code changes. ➡️ Why Me? I can easily build your AI agent because I have 5 years of experience in AI bot development, focusing on conversation flows, CRM integrations, and user-friendly configurations. My expertise includes LLM architecture, intent detection, and real-time data handling. Additionally, I have a strong grip on technologies like Python, Node.js, and various chatbot frameworks. ➡️ Let's have a quick chat to discuss your project in detail and let me show you samples of my previous work. I'm eager to collaborate with you! ➡️ Skills & Experience: ✅ AI Bot Development ✅ Conversation Flow Design ✅ CRM Integration (HubSpot, Salesforce) ✅ API Development ✅ User-Friendly Configuration ✅ Real-Time Data Handling ✅ Intent Detection ✅ Memory Management ✅ Documentation Skills ✅ Docker & Cloud Hosting ✅ Python Programming ✅ Node.js Development Waiting for your response! Best Regards, Zohaib

@umg536

Hi there, When it comes to AI bot development, we at Modular Solutions pride ourselves on being at the forefront of cutting-edge technology such as machine learning and artificial intelligence. Our deep understanding of tools and frameworks like GPT, Rasa, Botpress, LangChain, and more give us the ability to design a robust conversation flow and knowledge retrieval layer that your bot needs. Furthermore, our significant experience in handling API integration with major CRMs like HubSpot, Salesforce, Zendesk (REST or GraphQL) ensures that we not only meet but also exceed your requirement for seamless data connection without any code changes. We can build a strong foundation for your bot to connect to external systems effortlessly. Lastly, our core strength of writing clean and scalable code accompanied by thorough documentation will ensure hassle-free deployment and easy addition of new instructions or integrations by your non-technical staff. By choosing us you gain a reliable partner dedicated to unlocking your business's full potential through innovative software solutions like the configurable AI customer care bot you described. Let's get started on this impactful project! Regards, Usama

@gangradeankit

Being an expert in AI Chatbot development, API Integration, and with a strong command of Python and Software Architecture, I believe I'm perfectly suited for creating your Configurable AI Customer Care Bot. With deep knowledge of frameworks like LangChain, Rasa, and Botpress, I am well-versed to design superior conversation flows that enhance user experience and knowledge retrieval layer enhancing the capability of your project. My past projects on similar bots equipped me with the experience to provide personalized solutions that aim to address your specific needs - from email support ticket handling to live-chat conversations. I am having delivered running prototypes with proper documentation and facilitating the integration of CRMs via REST or GraphQL APIs before makes me an even compelling choice. I look forward to discussing project milestones, turning those into tangible outputs within your timelines; as well as maintaining a clean code repository that sets the foundation for surpassing your project objectives and outcomes. Let's build you an innovative ready-to-go solution that revolutionizes your support system!

@kamran2012

Hello, I will build a configurable AI customer care agent that answers email tickets, handles live chat in real time, and connects to CRMs or external systems via API. I will design the conversation flow with intent detection, memory, safe fallbacks, and seamless escalation to human agents. I will implement a knowledge retrieval layer so answers stay grounded in approved sources, and integrate at least one CRM like Zendesk, HubSpot, or Salesforce via REST or GraphQL. I will provide a simple admin setup so non technical staff can adjust tone, rules, and data connectors without redeploying. You will receive a running prototype, a documented code repo, and a short admin guide. Looking forward to discussing further. Best regards, Kamran

@diektech

Hi, this is Elias from Miami. I’ve read your brief carefully and I understand you’re aiming to build a single, configurable AI customer-care agent that works across email tickets, live chat, and external systems (CRMs, APIs) — with non-technical staff able to adjust tone, rules, and knowledge sources using plain language, not code. The core priorities are clear: LLM-driven conversations, strong intent detection, memory, safe escalation to humans, and a clean orchestration layer (LangChain / Rasa / Botpress or a custom Python/Node service where it makes sense). This isn’t just a chatbot — it’s an operational support agent that needs to be reliable, auditable, and extensible. A few very specific questions to align on design early: Q1: Do you expect the bot to take actions in CRMs (update tickets, change status, create records), or start read-only in Phase 1? Q2: How should business users define rules — via structured forms, plain-text instructions, or a mix of both? Q3: For knowledge sources, are we starting with documents/FAQs, or live API-backed data from day one? Happy to outline a concrete architecture, milestones, and timeline, and share examples of similar AI agents I’ve shipped. Regards, Elias

@istackgroup

With a decade-long experience in the full stack development world, I have honed my skills in several areas that specifically align with your project needs. I’m proficient in creating and launching scalable web applications, with languages including Python, JavaScript and C#, while always focusing on clean, well-documented codebases – a key deliverable you require. Moreover, my AI competencies include building intelligent systems and predictive models. This expertise will ensure that your customer care bot functions seamlessly across support tickets on email, live chat conversations, and data retrieval from various CRMs via APIs like HubSpot or Salesforce. Aside from that, trust my background in DevOps and Cloud to manage the stack efficiently and provide smooth deployment using Docker or hosting it on cloud of your choice. As an added advantage, I come with a deep understanding of conversational flow design to effectively integrate your instructions layer and provide a fallback to human agents when necessary.

@tangramua

Hello! We can build a fully configurable AI customer care agent that handles email tickets, real-time live chat, and CRM interactions through APIs, using an AI-first architecture designed for reliability and scale. We have hands-on experience delivering production AI bots, not just prototypes. The agent will be powered by an LLM (GPT, Claude, or similar) with strong intent detection, conversation memory, and safe human handoff. Knowledge sources, tone, and escalation rules will be adjustable through plain-language configuration, allowing non-technical staff to make changes without redeploying code. CRM integrations (e.g. HubSpot, Zendesk, Salesforce) will be modular and extensible. We’ll deliver a running prototype, a clean and well-documented codebase, and a short admin guide for configuration and integrations. Ready to move quickly with a clear plan and timeline. Please, review our profile https://www.freelancer.com/u/tangramua where you can find detailed information about our company, our portfolio, and the client's recent reviews.   Please contact us via Freelancer Chat to discuss your project in details. Best regards, Kateryna Sales department Tangram Canada Inc.

@Herculesz

Hi I can build a configurable AI customer-care agent that handles email tickets, real-time live chat, and CRM/API actions from one unified conversation engine. The main technical problem is preventing hallucinations and unsafe actions while still giving the bot enough context to answer accurately and trigger correct CRM workflows. I’ll design a retrieval layer (RAG) with governed knowledge sources, citations, and permission-scoped tools so the LLM only reads/writes what it’s allowed to. Conversation flow will use intent + policy routing (resolve, ask-clarifying, escalate, tool-call, handoff) with memory that’s summarized and stored per customer thread. For CRM integration, I’ll implement a connector (e.g., Zendesk/HubSpot/Salesforce) via REST/GraphQL with webhooks for new tickets and a job queue for reliable retries. Business users will get a no-code configuration surface (prompt rules, tone, escalation, allowed tools, knowledge sources) that updates behavior without redeploys. The prototype will ship containerized with clear docs, logs, and test fixtures so you can add channels and integrations safely over time. Thanks, Hercules

@nikhilgarg96

As an AI enthusiast with a solid background in software development, my name is Nikhil and I am ready to take on your Configurable AI Customer Care Bot project. Flexibility is key, and I specialize in designing backend architecture that can easily integrate your CRM preferences (be it HubSpot, Salesforce, or Zendesk). My proficiency in REST and GraphQL API integration will ensure no hiccups as we connect with external systems. My experience extends beyond just the technical aspects. Having developed multiple frontend and backend projects, I understand the importance of clean code, well-documented repositories, and user-friendly design. I’ll grant you a running prototype of your AI bot via Docker or a cloud-hosted platform alongside an instructive admin guide to empower non-technical staff to easily manage the instructions. Most significantly, I see myself as an enabler. I aim to provide you with a strong foundation to adapt your customer care bot without any code changes. Whether it’s enhancing tone or creating new connections, my architecture allows for limitless scalability. Partnering with me guarantees not only quality technical work but also an efficient delivery that aligns with your timeline. Let's make this happen! Thanks...

@flance9

As an experienced AI developer with a special knack for bots, I am exceptionally suited for your configurable AI customer care bot project. With a robust background in Machine Learning and Artificial Intelligence, I have developed conversational agents before, working on state-of-the-art language models such as GPT and Claude. My familiarity with frameworks including Rasa, LangChain, Botpress, and other microservices enables me to effectively design the conversation flow and knowledge retrieval layers that align with your specific needs.

@hireageek

Hi there, I’m excited about the opportunity to develop a fully-configurable AI customer care bot for you. With my extensive experience in AI bot development, I have successfully delivered similar projects that integrate state-of-the-art LLM architectures into customer service frameworks. I understand the importance of crafting a bot that intelligently handles support tickets, real-time chat, and seamless data integration with CRMs. I propose using LangChain for orchestration to ensure a robust conversation flow and knowledge retrieval. By leveraging REST APIs, I can easily integrate popular CRMs like HubSpot and Salesforce. Additionally, I'll create user-friendly configuration hooks that empower non-technical staff to fine-tune the bot's behavior without requiring code changes. I plan to deliver a working prototype hosted on the cloud, complete documentation, and an admin guide for integration modifications. Let's connect to discuss the next steps and how we can bring this project to life quickly! What specific features or customization options do you envision for the configuration hooks that will allow non-technical staff to manage the bot's functionality?

@sunainawbst

✅ AI Customer Care Bot | REST/GraphQL | Lovable AI Expert | AI Development | Game Development ✅ Hi, Thank you for considering this opportunity! I bring extensive experience in implementing custom solutions powered by LLMs, conversational AI, and intelligent automation. Recently I have been working on Lovable AI for developing a gaming platform using it, complete with chat-based agent logic, expressive front-ends, and backend integrations. In other project, implemented a fully automated AI agent system for intelligent meeting creation using ElevenLabs Conversational AI and Gemini (via a custom agent brain). The flow integrates voice interaction, natural language processing, location precision, and frontend. Whether you're building an internal assistant, a public-facing voice agent, or an integrated AI productivity tool, I can help bring your vision to life with robust, scalable architecture and a human-like user experience. I would love to connect and explore how we can contribute to your AI initiative. (Note: Budget is flexible — we can finalize it after reviewing the complete scope.) Thanks & Regards, Kajal

@corpmember29

Hello! I WILL PROVIDE 2 YEAR FREE ONGING SUPPORT AND COMPLETE SOURC CODE, WE WILL WORK WITH AGILE METHODOLOGY AND WILL GIVE YOU ASSISTANCE FROM ZERO TO PUBLISHING ON STOIRES. I have carefully reviewed your requirements and clearly understand the need for a configurable AI customer care bot handling email tickets, real-time chat, and CRM/API integrations. I have 10+ years of experience, with strong expertise in AI bot development, LLM-based systems, conversation orchestration, and production deployments. I will design a structured conversation flow with robust intent detection, memory management, and human handoff, backed by a RAG-based knowledge retrieval layer. The system will integrate with at least one major CRM (Zendesk/HubSpot/Salesforce) via REST or GraphQL and expose configuration hooks so non-technical users can adjust tone, escalation rules, and data sources without redeploying code. Delivery will include a running prototype (Docker/cloud), a clean documented repository, and a short admin guide. I eagerly await your positive response. Thanks christina

@mubeenm5026

With a decade of experience in AI and automation, my team at Web Crest is an ideal fit for your project. We have successfully delivered AI-powered chatbots and virtual assistants in the past, utilizing machine learning (ML) and deep learning (DL) solutions. One notable aspect of our work is the ability to design complex conversation flows, backed by robust intent detection and smart memory, keeping in line with what you seek for your support bot. In addition to our strong AI background, we are well-versed in API integrations and software architecture , which will be highly relevant for your CRM connectivity requirements. Our proficiency extends to popular platforms like HubSpot, Salesforce, and Zendesk via REST or GraphQL. Our customer-oriented approach allows us to design systems that are easy for non-technical staff to manage. I assure you that our deliverables will be well-documented, incorporating crisp instructions on how to add new integrations and adjust behavior. Furthermore, having built ML-powered solutions for top-rated clients, we prioritize scalability and future-readiness - traits essential for successful integration of such resilient NLU systems as LangChain or Rasa. A clean code repository along with a short admin guide will accompany the prototype we create. Ready to embrace challenges head-on, we look forward to the possibility of partnering together on this exciting project that promises to transform digital discourse in customer support systems.

@Mahihassi

With my solid background in software engineering, especially in the realm of AI and IoT development, I am confident that I am the best fit to bring your configurable AI customer care bot to life. I have an MSc in Embedded Systems; thus, my understanding of firmware development, C/C++ programming, and microcontroller-based projects will be of immense benefit to the intricate nature of this project. My skills in AI Chatbot development and API integration will prove particularly valuable as we design the conversation flow and knowledge retrieval layer for your bot as well as integrate it seamlessly with popular CRMs like HubSpot or Salesforce via REST or GraphQL. A key point for me is that you want your bot to accept plain-language instructions; this aligns perfectly with my passion for leveraging technology to solve complex problems as I trust we can ensure your non-technical staff make adjustments easily without redeployment. In addition to these technical capabilities, I also value timely deliverables. Therefore, once we align on milestones, I assure you that I will deliver a running prototype covering all three channels; a clean, well-documented code repository; and an admin guide to ensure easy adjustment and integration even without my presence. In summary, my expertise, passion, and commitment make me the ideal choice to transform your vision into a reality!

@Feriver

Hello, I understand you’re looking for a fully configurable AI customer-care agent that works across email tickets, real-time live chat, and API-driven CRM integrations—while staying editable by non-technical staff through plain-language rules. I’ve built LLM-powered support assistants with retrieval-augmented generation (RAG), strong intent detection, human handoff, and secure integrations, focusing on reliability and “business-user control” rather than a brittle demo. I would deliver this as a modular Python/Node service with a provider-agnostic LLM layer (GPT/Claude swappable), a RAG knowledge layer (vector store + source citations), and a channel adapter pattern for Email + Live Chat + CRM. Configuration would live in a simple admin UI + YAML/JSON policies so staff can adjust tone, escalation triggers, confidence thresholds, and knowledge sources without redeploying. CRM integration would start with one target (e.g., Zendesk/HubSpot) using OAuth, webhooks, and audited API actions. Deliverables include a Dockerized prototype, documented repo, and an admin guide explaining how to add new connectors and update behavior safely. The focus is a production-ready foundation: secure credentials, logging, rate limits, and clear fallback paths to human agents. Thanks, Asif