We are seeking an Expert AI Automation Developer to design and implement a practical AI-enabled workflow that integrates with our existing Microsoft Excel and Access systems. Our current business processes rely on Excel workbooks, Access databases, VBA code, and structured operational data. We have already identified opportunities and a road map where AI could reduce manual work, improve data processing, and support better decision-making. The selected freelancer will be responsible for converting one of these opportunities into a reliable, production-ready solution. This is an implementation-focused engagement. We are not looking for a high-level AI strategy report or a generic chatbot. We need someone who can understand an existing business process, design the technical architecture, write the required code, integrate appropriate AI models or APIs, complete thorough testing, and deliver a maintainable automation system. Required Qualifications The ideal freelancer should have demonstrated experience with: 1. Microsoft Excel and Access automation 2. VBA development 3. AI model and API integration 4. Claude (Anthropic), ChatGPT (OpenAI), or comparable AI platforms 5. Structured AI prompting and reliable output generation 6. JSON parsing and API request handling 7. Relational databases and SQL 8. Workflow automation and business-process analysis Proposal Requirements Please include the following in your proposal: 1. Describe at least one project where you implemented AI automation for a business process and what the results of the project were. 2. The AI tools you would use for a project like this. 3. Your experience level with Excel, Access, and VBA

Upwork's Governance, Risk & Compliance (GRC) team is seeking an experienced freelancer with a strong background in AI tool automation to help streamline and enhance our compliance workflows. You will work closely with our GRC team to identify automation opportunities, design and implement AI-driven solutions, and integrate tools that improve efficiency across risk assessments, policy management, audit preparation, and compliance monitoring. Key Responsibilities: Assess existing GRC workflows and identify high-impact automation opportunities Design and implement AI-driven automations using Claude AI to support intelligent document analysis, risk summarization, policy drafting, and compliance Q&A workflows Integrate AI tools with Linear & Vanta to enhance compliance monitoring, evidence collection, and control mapping Build automated workflows for risk tracking, audit preparation, and policy lifecycle management Document solutions and provide handoff training to internal GRC team members Required Qualifications: Deep knowledge of GRC principles, practices, and frameworks — including SOC 2, ISO 27001, ISO 27018, ISO 42001, PCI-DSS, and Microsoft SSPA — with the ability to translate compliance requirements into functional automation logic Demonstrated experience building AI and automation workflows, including LLM integration, prompt engineering, and API-based tool development Strong understanding of risk management methodologies, control frameworks, and audit readiness processes Experience operationalizing compliance programs, not just familiarity — you should be comfortable owning GRC workflows end-to-end Proficiency with no-code/low-code automation platforms and/or Python scripting Excellent written and verbal communication skills, with the ability to document technical solutions clearly for compliance audiences Preferred Qualifications: Prior hands-on experience working within a GRC or Information Security team Relevant certifications such as CISA, CRISC, CISSP, or ISO Lead Implementer/Auditor Experience with AI governance frameworks and emerging standards around responsible AI (aligned with ISO 42001) Familiarity with Upwork's platform or similar marketplace environments

Bellementis PLLC is seeking a contract legal automation specialist to help design and implement practical automation workflows for a fast-growing boutique law firm. The ideal candidate has experience with law firm operations, document automation, AI tools, workflow design, and systems such as Microsoft 365, Clio, NetDocuments, Gavel, Zapier, Notion, or similar platforms. Responsibilities may include: Automating client intake, engagement letters, matter opening, task tracking, billing workflows, and document generation Building reusable templates, checklists, and workflows Helping integrate AI tools into legal and administrative processes Improving knowledge management and internal firm operations Working with lawyers, operations, and technical team members to turn manual processes into scalable systems This is a contract role. Prior experience with legal tech, law firm operations, document automation, or AI-enabled workflow design is strongly preferred.

About Us Paragon International, Inc. is a U.S.-based manufacturer of commercial concession equipment and food service products. We receive purchase orders from customers such as Amazon, Home Depot, distributors, school systems, and other commercial customers. Orders arrive by email in many different formats, including PDFs, Word documents, Excel spreadsheets, scanned documents, and occasionally photographed purchase orders. We are looking for an experienced AI Automation Engineer to design and build a production-ready system that automates our entire order intake process. This is not a simple chatbot project. We need someone who has successfully built business automation systems that combine AI, OCR, document processing, APIs, and workflow automation. Project Overview The system will monitor one or more Gmail inboxes continuously and automatically process incoming emails and attachments. The workflow should: * Monitor Gmail 24/7 for new incoming emails. * Download all attachments automatically. * Read: * PDF files * Microsoft Word documents * Excel spreadsheets * Scanned PDFs * Image files (JPG, PNG, TIFF, etc.) * Photographs of purchase orders * Use OCR when required. * Use AI to determine whether the email is: * Purchase Order * Quote Request * Cancellation * Return/RMA * Customer Inquiry * Other * Identify the customer automatically. * Extract all order information into a standardized data structure. * Detect duplicate purchase orders. * Automatically print valid purchase orders to our network printer. * Save documents into organized folders. * Rename files using a consistent naming convention. * Move processed emails into Gmail folders/labels. * Generate logs for auditing and troubleshooting. ## Future Phases The initial project focuses on reliable document processing and printing. Additional phases may include: * Sage 100 ERP integration * Automatic sales order creation * Inventory verification * Customer acknowledgment emails * Shipping workflow automation * Dashboard and reporting * AI exception handling * Multi-location printing We are looking for a long-term development partner who can continue improving the system over time. ## Required Skills Please apply only if you have strong experience with most of the following: * OpenAI API / ChatGPT API * Gmail API * OCR technologies (Tesseract, Azure Document Intelligence, Google Vision, AWS Textract, or similar) * Intelligent Document Processing (IDP) * PDF parsing * Workflow automation * Python * REST APIs * Windows automation * Network printing * Error handling and logging * AI document classification Experience with the following is a significant advantage: * n8n * Microsoft Power Automate * Make.com * ERP integrations * Sage 100 * Purchase Order processing * Manufacturing or distribution businesses ## Deliverables The completed solution should: * Run continuously with minimal supervision. * Be reliable enough for production use. * Handle errors gracefully. * Be well documented. * Be easy for our staff to maintain. * Be scalable as our order volume grows. ## To Apply Please include: 1. A description of similar automation projects you have completed. 2. Which automation platform you recommend (Python, n8n, Power Automate, Make, or another solution) and why. 3. Examples of AI document processing or OCR projects you've built. 4. Your experience integrating with ERP systems. 5. Your estimated timeline. 6. Your hourly rate or fixed-price proposal. Please begin your proposal with the phrase: **"I have built AI document automation systems."** This helps us identify applicants who have carefully read the project description. We are looking for a long-term partner, not just someone to complete a single project. If this project is successful, additional work will include ERP integration, warehouse automation, customer service automation, purchasing automation, and AI-driven business process improvements.

We are seeking an experienced developer to build AI platforms that automate internal processes. The ideal candidate will have a strong background in AI development and a proven track record of delivering successful automation projects. Responsibilities include designing and implementing AI solutions, integrating with existing systems, and optimizing processes for efficiency. If you have a passion for AI and automation, we would love to hear from you!

I'm looking for an experienced developer to build an AI-powered tenant operations system using Buildium, QuickBooks Online, Quo (OpenPhone), WhatsApp Business, Gmail, and Google Drive. The goal is to automate tenant communication so my property manager only handles emergencies, property visits, and cash rent collection.

Type: Hourly, ongoing (part-time to full-time, room to grow) Stack you'll work in: Notion, Slack, HubSpot, Google Workspace/Gmail, Claude + other LLM APIs, Zapier/Make/n8n About us We're a fast-moving sports and fan-engagement startup. We're small, we ship quickly, and we want AI woven into how the whole company operates, not as a side experiment, but as the default way we work. You'd be the person who makes that real. What you'll do Map our current workflows across sales, marketing, ops, and content, then find the highest-leverage places to automate. Build automations and agent workflows that connect our tools (Notion, Slack, HubSpot, Gmail/Google Workspace) using platforms like Zapier, Make, or n8n plus LLM APIs. Design and ship AI agents for real jobs: lead routing and CRM enrichment, content drafting, customer/fan response triage, internal knowledge search, reporting digests. Stand up the connective tissue (prompts, integrations, guardrails, and monitoring) so automations are reliable, not brittle demos. Train and enable our team: build SOPs, run working sessions, and create lightweight docs so non-technical people actually adopt what you build. Help set our AI strategy and roadmap as we scale. You're a strong fit if you Have shipped real automations and AI agent workflows in production (not just prototypes). Are fluent with Zapier / Make / n8n and at least one major LLM API (Anthropic/Claude, OpenAI). Know your way around HubSpot, Notion, Slack, and Google Workspace integrations and APIs. Can write clean prompts and think in systems: edge cases, error handling, human-in-the-loop checkpoints. Can explain technical work to non-technical people and get them to adopt it. Communicate proactively and move fast without breaking trust on things that touch customers or revenue. Nice to have Experience taking a small company "AI-native" end to end. Background in sports and/or blockchain. Comfort with light scripting (Python/JS) when no-code hits its limits. How to apply In your proposal, please: Describe one AI agent or automation you built, the tools involved, and the measurable result. Tell us how you'd approach training a non-technical team to actually use what you build. This part matters as much as the build. Share your hourly rate and weekly availability. Proposals that skip these will be passed over. We're looking to start with a small paid task and grow the engagement from there.

We are looking for a skilled, hands-on AI Engineer to help us build and optimize our AI product. You will be responsible for designing the AI architecture, integrating modern LLMs/frameworks, and ensuring our AI pipeline runs efficiently, reliably, and accurately in production. Responsibilities Design, build, and deploy custom AI solutions (LLM integration, RAG, AI agents, or fine-tuning). Build robust prompt engineering pipelines, function-calling workflows, or structured output mechanisms. Implement vector databases (e.g., Pinecone, Weaviate, Qdrant, ChromaDB) for semantic search and retrieval. Optimize latency, API costs, and context window efficiency across LLM providers (OpenAI, Anthropic, open-source models). Connect AI models to backend services via REST APIs / webhooks. Implement evaluation metrics (hallucination detection, retrieval accuracy, output validation). Required Skills & Qualifications Languages: Python (strong expertise required), TypeScript/Node.js (a plus). AI / ML Tooling: LangChain, LlamaIndex, AutoGen, CrewAI, or direct SDK integrations (OpenAI, Anthropic, Hugging Face). Databases: Vector databases (Pinecone, Chroma, Qdrant, pgvector) + relational/NoSQL DBs. Deployment & Cloud: Docker, AWS / GCP / Azure, FastAPI / Flask, Serverless architectures. Core Concepts: In-depth understanding of Embeddings, RAG, Fine-Tuning, Function Calling, and Agentic Workflows. Preferred (Nice to Have) Experience deploying open-source models locally or on dedicated hardware (vLLM, Ollama, Hugging Face TGI). Experience with fine-tuning techniques (LoRA, QLoRA). Background in frontend AI UI integration (Vercel AI SDK, Streamlit, Gradio).

About us We're a growing multi-location dental group in South Florida. We've already designed a fleet of 8 internal automation agents — complete written specs, working code templates, and infrastructure in place. We need a skilled developer to build and deploy them. This is implementation work with clear specs, not open-ended R&D. What you'll build Python automation agents that pull data from our practice management system's REST API (auth pattern already proven in production scripts you'll receive) Claude API integrations (drafting appeal letters, patient texts, weekly analyst reports) with a strict de-identification pattern we'll teach you Firebase (Firestore) reads/writes and light updates to existing web dashboards (deployed via Netlify) Scheduling via Windows Task Scheduler; simple HTML email reports Occasional work with HubSpot API and Google Sheets You're a fit if you have 3+ years Python, comfortable with REST APIs, JSON, and error handling Firebase/Firestore experience Experience integrating LLM APIs (Anthropic/OpenAI) Ability to work from an existing codebase and follow written specs precisely Strong written English and reliable weekly availability (EST business hours overlap) Healthcare/HIPAA experience a plus, not required — but you must be willing to learn and follow our PHI handling rules exactly Requirements (non-negotiable — please do not apply if you cannot meet all of these) Located in the United States with US work authorization. No offshore contractors or agencies. Completed W-9 on file before any work begins Background check required (we order and pay for it) Signed NDA and HIPAA Business Associate Agreement (BAA) required before you are granted any access to systems containing Protected Health Information (PHI). This is a healthcare environment — no exceptions. Video call interview with camera on; government ID verification All access granted via individually credentialed accounts (no shared logins), revocable by us at any time How we'll work Paid test task first: build one small agent (~4–6 hrs) from our spec using our template. Paid at your full rate. Then ~10–20 hrs/week building out the remaining agents, one at a time, each with a written "done when" acceptance test After the initial build-out (est. 60–100 hours total), ongoing part-time maintenance and new features for the right person Weekly check-in call; async otherwise To apply Briefly describe a Python + API automation project you built (what it pulled, what it produced, how it was scheduled) Confirm you're US-based and willing to complete a background check and sign a BAA Your hourly rate and weekly availability Start your proposal with the word "HUDDLE" so we know you read this

We are seeking an experienced Claude AI trainer and workflow automation professional to deliver a live, instructor-led corporate training program on using Claude AI to improve business productivity and automate everyday workflows. The training is intended for business professionals, project managers, and team leaders who have limited or no prior AI experience. The trainer should be able to explain concepts in clear business language and provide practical, hands-on exercises based on realistic workplace scenarios. Training Scope The training should cover: Introduction to Claude AI and its business capabilities Identifying suitable tasks and processes for AI-assisted automation Using Claude AI for task management, planning, and scheduling Summarizing documents, meetings, emails, and business information Creating meeting notes, action items, and follow-up communications Automating content creation and report generation Improving internal communication and team collaboration Supporting project management and workflow coordination Working with shared documents, task lists, and business information Integrating Claude AI with existing business tools and platforms Using Claude AI with workflow automation platforms such as Zapier Connecting AI-assisted workflows with CRM, HR, customer support, and project management systems Workflow examples involving tools such as Trello, Asana, and Notion Data privacy, security, responsible AI use, and ethical considerations Improving the accuracy, reliability, and efficiency of AI-generated work Developing a practical AI adoption and workflow automation strategy Training Format The program should be highly interactive and include: Instructor demonstrations Guided hands-on exercises Realistic business use cases Individual and group activities Prompt-development exercises Workflow design exercises Opportunities for participant questions and discussion Practical recommendations participants can apply immediately Trainer Requirements The successful trainer must have demonstrable, real-world corporate experience using Claude AI and workflow automation technologies in actual business environments. Academic knowledge or general familiarity with generative AI alone is not sufficient. The ideal trainer will have: Strong practical experience with Claude AI Experience designing or implementing AI-assisted business workflows Experience integrating AI with productivity and automation platforms Familiarity with Zapier or comparable workflow automation tools Experience working with CRM, HR, customer support, document management, or project management systems A strong understanding of prompt engineering and context management Knowledge of AI privacy, security, governance, and responsible-use practices Previous corporate training, consulting, or workshop-delivery experience The ability to explain technical concepts to nontechnical business audiences Strong spoken English and professional communication skills Experience with Claude Projects, Artifacts, integrations, API-based workflows, Claude for Teams or Enterprise, and collaborative AI use cases would be highly valuable. Expected Deliverables The selected trainer will be expected to: Review and refine the proposed training agenda Participate in a pre-course planning meeting Identify participant software, account, and access requirements Prepare presentation materials, demonstrations, and hands-on exercises Deliver the live training Customize examples to the client’s business environment where appropriate Provide exercise files, prompts, templates, or supporting materials Answer participant questions during the training Provide practical recommendations for continued Claude AI adoption Information to Include in Your Application Please provide: A summary of your professional experience with Claude AI Specific examples of corporate workflows you have automated or improved using Claude AI Details of your experience with Zapier or other automation platforms Examples of Claude integrations you have implemented Your corporate training or consulting experience The types and sizes of audiences you have trained Any relevant certifications, presentations, courses, or professional materials Your availability Your location and time zone Please clearly distinguish between your personal experimentation with Claude AI and your experience implementing it in real organizational environments.