Agentic AI Assistants for ERP

@vipinjain1213

Hi, This is exactly the kind of ERP evolution where Agentic AI actually creates real impact instead of just adding a chatbot layer. For your ERP, the approach would be to build modular AI agents that sit as a middleware layer and securely interact with existing ERP APIs rather than modifying core logic. • Conversational agents for profile updates, service requests and student self-queries • OCR + VLM pipeline for document verification and smart data extraction • Smart-Loader agent with semantic column mapping and staging validation before commit • Public + authenticated AI assistants with role-based access • Real-time voice + video avatar integration using STT/TTS pipeline • Secure API orchestration with audit logging and transaction safety We can start immediately — I will ensure clear, daily communication and fast turnaround. You’ll always know the exact progress. Happy to walk you through architecture and phased rollout in chat.

@chiragardeshna

Hi there, I am a strong fit because I have designed agentic AI systems integrated into structured enterprise backends with staged data pipelines, OCR, and LLM-driven workflow automation. I have built LLM-powered assistants using OpenAI and Anthropic models with LangChain and LlamaIndex, implemented OCR and document extraction using AWS Textract and Azure Document Intelligence, and developed schema-matching and semantic field-mapping engines for ERP integrations. I have also delivered stage-then-commit ingestion pipelines with validation layers, rollback safety, and audit logging, along with secure REST middleware connecting AI services to production databases. I would architect this as a modular AI orchestration layer, separating conversational agents, OCR/VLM processing, semantic mapping, validation engine, and ERP API gateway to ensure maintainability and transaction safety. For the video avatar component, I would integrate STT and TTS pipelines with a WebRTC-based or third-party avatar engine while keeping authentication and student data strictly isolated. I reduce risk by delivering each use case in phased milestones with sandbox validation, structured testing, and measurable acceptance criteria before production rollout. I am ready to provide a detailed technical proposal, timeline breakdown, and itemized cost estimate after a short architecture alignment discussion. Regards, Chirag

@hr157

Hello, I’m a Senior AI Engineer with 10+ years of experience delivering Agentic AI, ERP integrations, OCR pipelines, and conversational platforms. I’ve built scalable LLM-driven assistants and data-ingestion systems that align well with your 7-use-case vision. Proposed Deliverables • Modular Agentic AI architecture (LangChain/LlamaIndex) • OCR + VLM document verification pipeline • Smart-Loader with semantic schema mapping & staging grid • Secure ERP REST API middleware integration • Conversational chatbots (student + public) • Real-time Video Avatar with STT/TTS • Testing, monitoring, and deployment support Why Hire & Collaborate • Proven ERP + AI automation experience • Production-grade, scalable design • Clear communication and milestone-driven delivery Happy to discuss timeline, stack, and next steps.

@tamannarajput18

With a flair for front-end development, particularly with web applications, I'm confident in my abilities to build and integrate a comprehensive suite of Agentic AI assistants for your Academia ERP system. The strengths I demonstrate - expertise in React.js, HTML, CSS3 - are central to automating complex administrative workflows, which is the core of this project. Moreover, my familiarity with data and file handling will be invaluable in the successful implementation of the "Smart-Loader" agent. I'm adept at working with varied file formats including Excel (.xlsx), CSVs and even unstructured/semi-structured PDFs. Let's not forget my strong background in N8N development; this means I have a solid understanding of automation workflows as well. With me on board, you can expect robust solutions that'll revolutionize your academic ERP system effectively and enhance productivity at each level.

@abdullahbhabh

Dear Client, I am submitting my proposal for the development of Agentic AI Assistants tailored to your Academia ERP system. With over a decade of experience in full-stack development and AI integration, I am well-equipped to deliver a sophisticated, secure, and seamless AI solution that addresses your seven key use cases. I look forward to the opportunity to discuss your specific goals and deliver a transformative AI assistant suite for Academia ERP. Sincerely, Abdullah

@ravikumarsingh1

Hi — this is a strong Agentic AI vision, and I can help design and implement the full AI assistant suite integrated with your Academia ERP. Relevant Experience I work on LLM-driven automation systems, ERP/API integrations, OCR pipelines, and conversational AI platforms combining structured data access, document intelligence, and real-time assistants. Proposed Technology Stack • LLM Layer: OpenAI / Anthropic (hybrid fallback) with LangChain + LlamaIndex orchestration • OCR & Document AI: Azure Document Intelligence / GCP Vision + Layout-aware parsing • Smart Loader: Semantic schema-matching using LLM embeddings + staging database validation • Backend Middleware: Python (FastAPI) microservices with secure ERP API integration • Data Safety: Stage-then-Commit ingestion pipeline with validation layer • Chat Interfaces: Web + ERP embedded assistants (RAG-based secure querying) • Video Avatar: STT (Whisper/Deepgram) + TTS + HeyGen/WebRTC avatar pipeline Delivery Plan (High-Level) Phase 1: Architecture + Core Agents (Use Cases 1–3) Phase 2: Smart Loader + OCR Agents (Use Case 4) Phase 3: Student & Public Assistants (Use Cases 5–6) Phase 4: Video Avatar Integration (Use Case 7) Estimated timeline: 14–18 weeks total. Deliverables • Production-ready agent architecture • Secure middleware integration with ERP • Tested AI workflows + staging validation • Documentation & deployment handover

@Wizztron

I recently delivered a project with this exact scope, focusing on building clean, professional, and user-friendly AI assistants seamlessly integrated into a complex ERP system. Your need for automated workflows, OCR-based document verification, and interactive video avatars aligns perfectly with my expertise. I specialize in AI/LLM frameworks, OCR integration, conversational avatars, and secure backend API connections. While I am new to Freelancer, I have tons of experience and have done other projects off site that involved semantic mapping, data validation, and stage-then-commit architectures. I would love to chat more about your project! Regards, MN Williams

@Hemantt841

I understand you require a skilled AI engineer to develop and integrate agentic AI assistants into your Academia ERP, focusing on automating administrative workflows like student profile updates and document verification using OCR. Your need for a secure, conversational interface combined with video avatars and seamless backend syncing is clear. With over 15 years of experience and 200+ projects completed, I specialize in AI development, API integration, and automation using Python and Node.js. My expertise includes working with OCR tools like Google Cloud Vision and building AI agents powered by OpenAI frameworks, perfectly aligning with your requirements for AI model development and ERP integration. For this project, I will design a modular architecture featuring a stage-then-commit data pipeline to ensure transaction safety, leveraging OCR APIs for document verification and LLMs for semantic schema mapping. The conversational and video avatar components will be integrated via RESTful APIs, with a development timeline spanning 8–10 weeks to cover all seven use cases thoroughly. I’m happy to discuss your project in more detail to tailor the approach to your specific needs.

@riyajpatwegar

Thank you for sharing this detailed and well-structured scope. This is exactly the kind of agentic, ERP-integrated AI program my team and I specialize in. We are a dedicated AI-first engineering team with: Senior AI/LLM architects Applied ML & OCR specialists Backend engineers experienced in ERP integrations Frontend engineers for conversational UI & avatar interfaces You won’t be working with a solo freelancer — a dedicated cross-functional team will be assigned to your Academia ERP. Proposed High-Level Tech Stack :===> LLMs: GPT-4.x / Claude + fallback open-source (Llama-3) Agent Framework: LangChain + LlamaIndex (tool-calling & memory) OCR/Vision: Azure Document Intelligence / AWS Textract + LayoutLM Semantic Mapping: LLM-based schema reasoning + vector similarity Backend: Python (FastAPI) / Node.js, secure REST middleware Data Safety: Staging DB, validation layer, explicit user confirmation Avatars: STT (Whisper / Azure), TTS (Neural voices), Avatar SDK / WebRTC Delivery Approach : ====> We’ll execute in milestones per use case, starting with: Student Profile Agent Document Verification Agent Service Request Agent → followed by Smart-Loader, Self-Info Assistant, Website Bot, and Video Avatar Each module is independently testable and securely integrated into Academia ERP.

@Kishoreindia

Dear Sir/Madam, I am Kishore Patidar, a professional Mobile App and Python Developer with strong experience in building scalable, production-ready mobile applications and backend systems. I specialize in Flutter (cross-platform), Android (Java/Kotlin), Firebase, Supabase, Node.js, FastAPI, and Django. I have successfully delivered multiple live apps on both Google Play Store and Apple App Store, including fintech, healthcare, education, social networking, and on-demand service platforms. My expertise includes: • Cross-platform mobile app development (Flutter) • Backend API development (Node.js, FastAPI, Django) • Payment Gateway integration (PhonePe, Razorpay, Stripe) • Real-time chat & notification systems • Admin panel & dashboard development • App deployment & store publishing • Secure authentication & role-based systems I focus on clean architecture, scalable backend design, optimized performance, and smooth user experience. From idea to deployment, I can handle complete end-to-end development. I would be happy to discuss your project requirements and deliver a reliable, high-quality solution within timeline. Looking forward to working with you. Best Regards, Kishore Patidar Mobile App / Python Developer

@Saif25P

I can build the WhatsApp chatbot using Meta WhatsApp Cloud API and Firebase (Functions, Firestore, Hosting, Storage) with a flow-first architecture to keep the system reliable and operating costs near zero. The bot will use deterministic conversation flows (finite state machine) stored in Firestore sessions. Users will interact mainly through interactive buttons and lists, supporting both Hindi and English. This ensures predictable behavior and reduces the need for AI. AI will only be used for escalation through a RAG system connected to a Firestore/Storage knowledge base. If the model confidence is low or the user is stuck, the bot will automatically create a support ticket and log the conversation for follow-up. The backend will run on Firebase Cloud Functions (Node.js + TypeScript) with secure webhook verification, rate limiting, and proper logging. Data such as sessions, messages, tickets, orders, and KB documents will be stored in Firestore with appropriate rules and indexes. I will also provide a minimal React admin panel (Firebase Hosting + Auth) to manage tickets, approve knowledge-base suggestions, and edit store content. The system will be modular so that webstore integration can be added later without rewriting the bot. Happy to discuss implementation details and timelines.