- Hourly: $30.00 - $100.00
- Expert
- Est. time: 1 to 3 months, Not sure
AI Integration & Automation Specialist (OpenAI / ChatGPT): We’re an advertising agency looking for an experienced AI specialist to help build an AI-powered business infrastructure. Your role will be to integrate ChatGPT/OpenAI with the software we use every day, automate workflows, and help us identify opportunities to improve efficiency across the business. Responsibilities: * Integrate OpenAI with our existing software stack * Build custom workflows using APIs and automation platforms * Connect tools such as Microsoft 365, Outlook, HubSpot, Wrike, QuickBooks, WordPress, and other business applications * Develop AI assistants for operations, sales, project management, marketing, reporting, and customer service * Recommend scalable AI solutions and best practices * Document all work for future maintenance Requirements: * Strong experience with OpenAI APIs * Experience with APIs, MCP, Zapier, Make.com, n8n, or similar automation platforms * Strong understanding of business process automation * Ability to communicate with both technical and non-technical teams * Excellent English
- Fixed price
- Expert
- Est. budget: $10,000.00
AI Automation Engineer – Personal Injury Law Firm (Phase 1) Overview We are a plaintiff personal injury law firm seeking an experienced AI automation engineer to build a practical AI-powered operations system that reduces administrative workload and improves case management. Firm Profile: - 1 Attorney - 1 Legal Assistant - Approximately 100 Active Cases - Approximately 25 Cases in Litigation We are not looking for chatbots, prompt engineering, or marketing automation. We are seeking a builder who can deploy production-grade workflow automation integrated with our existing systems. --- Existing Technology Stack - CASEpeer - Supio - Gmail (Google Workspace) - Google Calendar - Google Drive - Claude - ChatGPT - CoCounsel - PLAUD --- Phase 1 Objective Build a Daily Case Command Center and Follow-Up System. The goal is to ensure that every morning the attorney knows exactly which files require attention and why. --- Deliverable #1: Daily Case Command Brief Generate a daily briefing containing: Litigation Matters - Upcoming depositions - Discovery deadlines - Hearings - Expert deadlines - Outstanding litigation tasks Pre-Litigation Matters - Treatment complete but no demand - Missing medical records - Records requests outstanding more than 21 days - Demands pending more than 30 days - Settlement checks outstanding Communications - Unanswered client emails - Unanswered adjuster emails - Unanswered defense counsel emails - Communications requiring attorney attention Case Velocity - Stale files - Cases with no recent activity - Recommended next actions --- Deliverable #2: Gmail Intelligence The system should: - Monitor designated Gmail inboxes and labels - Identify case-related emails - Extract action items - Detect deadlines - Identify follow-up opportunities - Draft suggested responses --- Deliverable #3: Follow-Up Automation Generate draft communications for approval: - Medical records requests - Provider follow-ups - Adjuster follow-ups - Client status updates - Scheduling communications No communication should be sent automatically. Human approval is required before sending. --- Deliverable #4: Calendar & Reminder Automation Create and manage: - Follow-up reminders - Litigation reminders - Discovery reminders - Records request reminders - Suggested calendar events --- Deliverable #5: CASEpeer Integration Where supported by available integrations/APIs: - Create tasks - Create notes - Associate communications with matters - Maintain activity history --- Technical Requirements Required: - n8n - Python - OpenAI API - Anthropic API - Gmail API - Google Calendar API - Google Drive API - REST API integrations Strongly Preferred: - LangGraph - LangSmith - Google Workspace administration - Salesforce integrations - CASEpeer, Clio, or Filevine experience - Legal technology experience - HIPAA or regulated-data experience --- Security Requirements - Human approval before external communication - Activity logging - Error handling - Retry mechanisms - Secure credential management - Documentation of workflows --- What Success Looks Like The system should: - Reduce administrative workload - Improve follow-up consistency - Reduce stale files - Improve litigation oversight - Improve case visibility - Provide a daily prioritized action plan --- Application Requirements Please include: 1. Similar workflow automation projects you have completed. 2. Experience with n8n and AI workflow automation. 3. Experience integrating Gmail and Google Workspace. 4. Experience integrating CRM or case-management systems. 5. Proposed architecture for this project. 6. Estimated timeline. 7. Estimated fixed-fee budget. Begin your application with: CASECOMMAND Applications without this keyword will not be considered. --- Budget Expected Phase 1 Budget: $8,000–12,000 Preference will be given to candidates who can demonstrate production deployments rather than proof-of-concept or prompt-engineering projects.
- Hourly: $10.00 - $10.00
- Intermediate
- Est. time: Less than 1 month, Less than 30 hrs/week
I'm looking for an experienced automation specialist to build a follow-up system for my sales pipeline. The goal is a reliable, automated workflow that ensures no lead falls through the cracks — from first contact through close. What I need: A multi-step follow-up sequence triggered when a new lead enters my CRM (HubSpot or Salesforce) Automated emails sent via Gmail or Outlook at defined intervals (e.g., Day 1, Day 3, Day 7, etc.) Logic to pause or stop the sequence when a lead replies or takes a defined action Integration built using Zapier or Make (n8n open to discussion) Clear documentation so I can manage and update it myself going forward Ideal candidate: Proven experience building CRM + email automation workflows Comfortable working with Zapier and/or Make Familiar with HubSpot or Salesforce (please specify which in your proposal) Able to recommend best practices for follow-up timing and structure if needed To apply, please share 1–2 examples of similar workflows you've built and your preferred platform (Zapier, Make, etc.). Budget and timeline are flexible for the right person — I'd rather do this right than fast.
- Fixed price
- Expert
- Est. budget: $600.00
Overview Transit & Flow is a fast-scaling Columbus home services company (plumbing, HVAC, drain, sewer, water heater, sump pump) building a premium, AI-powered operation. We are wiring together a set of best-in-class platforms into one self-functioning system that captures, books, reschedules, reminds, invoices, and follows up with customers automatically across phone, website chat, and Thumbtack. We need a senior integration specialist to stand this up cleanly, end to end, on a short-term contract. This is an execution role for someone who has built production voice-AI and automation systems before, not a learner. Detailed architecture blueprints will be provided to the hired contractor under NDA. What you will build A connected stack with no manual re-entry between systems: • Bland AI voice agents (several agents: inbound scheduler, after-hours and emergency handling, Thumbtack lead agent, and an outbound reminders and follow-up agent) • A website chat agent running the same booking logic in text • Thumbtack Live Connect bridged to a Bland agent via API and webhook, plus the Thumbtack lead feed into our automation bus • Quo.com as the telephony and SMS layer (call forwarding to Bland, SMS send via API, one consistent business number) • GoHighLevel CRM integration (contact sync, pipelines, nurture) • Make.com as the orchestration layer (scenarios for booking, rescheduling, reminders, estimates, invoicing, lead intake, error handling) • Scheduling, rescheduling, cancellation, and automated appointment reminders against our field service management platform (currently Jobber, migrating to OctopusPro, so platform-flexible API work is required) • Email automation including emailing and resending invoices and receipts on request Core responsibilities • Configure Bland pathways, custom tools, and webhooks that read and write to our systems mid-call (check availability, book, reschedule, cancel) • Build robust Make.com scenarios with idempotency, retries, error handling, and alerting • Integrate REST APIs and webhooks across Bland, Quo, GoHighLevel, Thumbtack, the FSM, and email • Bridge Thumbtack Live Connect to a dedicated Bland number so leads are answered live • Implement automated SMS and voice reminders with confirm and reschedule handling • Document everything and deliver a clean handoff so the system is maintainable and scalable Must-have skills • Proven production experience with a voice-AI platform: Bland strongly preferred, or Vapi, Retell, or Synthflow with transferable skill • Advanced Make.com (or n8n) including webhooks, data stores, error handling, and routing • Strong REST API and webhook integration skills, JSON, authentication, signing • GoHighLevel API experience • Telephony and SMS concepts: call forwarding, SIP or number routing, A2P • Ability to design for scale and reliability, not just a demo that works once Nice to have • Quo.com or comparable VoIP platform experience • Thumbtack pro tooling or lead-response automation experience • Home services or field service management background • OctopusPro, Jobber, or similar FSM API experience Engagement • Short-term contract, estimated 3 to 5 weeks • Milestone-based fixed price preferred, hourly considered for the right expert • Async daily updates, a few live working sessions per week • NDA and scoped system access required; you will not receive owner credentials How to apply Do not send a generic proposal. Answer these in your application: 1. Link or describe a voice-AI agent you built that booked or scheduled against a live external API mid-call. What platform, what API, what was the hardest part? 2. How do you make Make.com or n8n scenarios idempotent and resilient to duplicate webhooks and failed calls? 3. In two or three sentences, how would you bridge Thumbtack Live Connect to a voice AI agent so the agent answers the lead live? 4. Your proposed milestone breakdown and realistic timeline for the scope above. 5. How you handle client credentials and secrets securely. Strong applications that show real systems thinking move to a short paid test task before the full award.
- Hourly: $30.00 - $40.00
- Intermediate
- Est. time: 3 to 6 months, Less than 30 hrs/week
Job Description: I am looking for a highly adaptable, tech-savvy right-hand person (essentially a "mini-me") to help me navigate a busy season over the next 3+ months. I run a fast-paced operation juggling multiple platforms, clients, and projects, and I need an in-field utility player who can jump in, figure things out, and help drive actions to completion. This is a part-time role where you will act as the bridge between technical execution, operational tasks, and client support. If you love variety, learn new software quickly, and take pride in getting things done, this is the role for you. The Details: Hours: Approximately 20 hours per week. Duration: 3 months (with the possibility of extension if it's a great fit). Key Responsibilities: Drive Actions: Take ownership of pending tasks, follow up on project milestones, and ensure nothing falls through the cracks. Client Assistance: Help manage client communications, troubleshoot basic issues, and ensure a smooth customer experience. Platform Management: Assist with updates, data entry, and basic configurations across my existing tech stack. Problem Solving: Act as a true utility player—whether it is tweaking a workflow, pulling a data report, or drafting an email using AI, you are ready to tackle it. The Tech Stack: You do not need to be a master developer in all of these, but you must be comfortable navigating them and willing to learn. Experience with the following is highly preferred: WordPress: Basic content updates, plugin management, and site maintenance. Caspio: Familiarity with database management and low-code applications. n8n: Basic understanding of workflow automation and API integrations. LLMs: Comfortable using AI tools (ChatGPT, Claude, etc.) to draft content, summarize data, or solve problems. SQL: Ability to run basic queries and manage data sets. QuickBooks: Basic bookkeeping, invoicing, or expense tracking. Who You Are: Resourceful: You know how to Google a problem, consult an LLM, and find a solution before asking for help. Organized: You can manage your own time and keep track of multiple moving pieces. Communicative: You provide clear, concise updates on what is done and what is blocking you. Adaptable: You do not mind switching gears from a technical database task to answering a client email.
- Hourly: $90.00 - $110.00
- Expert
- Est. time: More than 6 months, 30+ hrs/week
Univium (small-business consultancy) is hiring a part-time Consulting Lead to own client problems end-to-end: lead discovery calls, scope and design solutions, write dev briefs (Jira), review deliverables, and draft proposals. Start 5 hrs/week, scale to 10 then 20. Hire needed within 3–4 weeks. Hours & Rate - Start: 5 hrs/week; scale to 10 → 20 as proven - Rate: $90–$110/hr (final rate based on experience/fit) - Location: US-based only (required) - Timeline: must be available to start within 3–4 weeks Key responsibilities - Lead or co-lead 1–3 client discovery/consultation calls weekly - Scope client problems, design fit‑for‑purpose solutions, write clear Jira cards/dev briefs - Review dev output, manage handoffs, and communicate results to clients - Draft proposals with hourly estimates and confidence levels for owner review - Self-onboard to new clients by mining notes, recordings, existing systems - Flag high-risk/low-confidence work proactively What this role is NOT - Not responsible for writing production code (in-house devs implement) - Not responsible for owning sales or managing other consultants initially Success outcomes (first 6 months) - Help scale active clients from 3 → 5–6 without increasing owner hours - Independently move 1–2 projects/week from scope → dev handoff or run 2–3 consultations/proposals weekly - Owner spends time on risk-review/high‑stakes oversight, not solution generation - Minimal hand‑holding required for onboarding; interactions are net relief for owner - Documented process to onboard a second consultant by month 6–9 Required qualifications - US-based with flexible scheduling for client calls - 5+ years working with small businesses (SMB experience required) - Hands-on familiarity with at least 4 of: Airtable, Notion, Zapier / N8N / Make, Google Apps Script, Lovable / Replit - Strong client-facing experience (leading discovery, managing expectations) - Proven portfolio of end-to-end SMB projects (scoping → solution → handoff) - Excellent at writing dev briefs / Jira tickets and delegating execution - Strong strategic problem-solving and calibrated risk awareness - Available to ramp to 10 hrs/week on 1–2 weeks' notice Screening filters (what we’ll prioritize) - Clear portfolio of solved SMB problems, ability to justify tool choices - Evidence of self-directed initiative and minimal ramp-time hires - Comfortable working via Upwork (time tracker), available within 3–4 weeks - NOT a pure executor, enterprise-only consultant, or non-US-based How to apply Submit via Upwork with: - Relevant hourly rate expectation within $90–$120/hr - Short cover note (1–2 paragraphs) summarizing why you fit this role - 2–3 portfolio examples of SMB problems you’ve solved end-to-end (links or brief case studies) - Your earliest availability to start - We’ll screen on Upwork, present finalists to the owner. Owner will interview top candidates (30–45 min). Selected candidate starts at 5 hrs/week. Owner note to candidates: We need someone who makes the owner’s life easier from week one — minimal hand‑holding, strong judgment, clear communication. If that sounds like you, please apply.
- Hourly: $40.00 - $80.00
- Expert
- Est. time: 1 to 3 months, Less than 30 hrs/week
EroFlow Intelligence is an enterprise-grade, autonomous AI orchestration pipeline designed to mitigate global supply chain disruptions for aerospace manufacturing. Built using a multi-agent framework, the system automates the entire lifecycle of risk detection, impact analysis, and procurement mitigation without requiring human intervention for standard operational anomalies. The architecture coordinates three specialized, asynchronous AI agents that communicate via a centralized event bus to solve complex logistical bottlenecks in real-time. Core Agent Architecture & Workflow 1. The Sentinel Agent (Data Ingestion & Extraction) Role: Continuous Global Monitoring. Function: Utilizes advanced LLM-driven web scraping and unstructured data extraction to monitor global news feeds, geopolitical shifts, weather anomalies, and shipping port telemetry. Trigger: If it detects a disruption (e.g., a port strike or critical mineral shortage), it extracts key entities (materials affected, estimated delay times) and passes a structured JSON payload to the orchestration layer. 2. The Impact Assessment Agent (Predictive Modeling) Role: Deep Cross-Referencing & Analytics. Function: Upon receiving a trigger, this agent cross-references the disrupted material with the company’s internal ERP (Enterprise Resource Planning) database and current inventory levels. Output: It runs a predictive analysis to determine exactly which production lines will stall and calculates the financial risk, assigning a high/medium/low priority score to the event. 3. The Mitigation & Logistics Agent (Autonomous Execution) Role: Operational Resolution. Function: If the risk score exceeds a specific threshold, this agent is authorized to take action. It autonomously queries pre-vetted alternative suppliers via APIs, negotiates standard volume pricing based on historical contract data, drafts a comprehensive procurement proposal, and queues the purchase order for final human sign-off (or executes it automatically if under a certain dollar cap). Technical Stack (The Blueprint) Frameworks: LangGraph / CrewAI (for multi-agent state management and deterministic routing). Core Language: Python 3.11+ Data Layer: PostgreSQL (for ERP syncing) & Pinecone / Qdrant (Vector database for storing and querying supplier contract PDFs and historical compliance documentation). LLM Orchestration: OpenAI GPT-4o / Anthropic Claude 3.5 Sonnet utilized via structured outputs (Pydantic parsing) to ensure strict API data integrity. Hosting & DevOps: Containerized via Docker, orchestrated via Kubernetes, and deployed on AWS with asynchronous task queues managed by Celery and Redis. Quantifiable Business Results (The Hook) 92% Reduction in supply chain anomaly response time (from 48 hours down to 14 minutes). Automated Recovery: Successfully mitigated over 140 potential production line stalls autonomously in simulated stress tests. Cost Efficiency: Saved an estimated $1.2M in expedited shipping fees by predicting bottlenecks 10 days before they impacted manufacturing floors.
- Hourly
- Expert
- Est. time: Less than 1 month, Less than 30 hrs/week
We are looking for a strong software engineer who can build practical automation systems using AI, APIs, and modern development tools. This role is for someone who can take messy business workflows, understand the goal, and build working systems that save time, reduce manual work, and improve execution. You should be comfortable building automations, integrating tools, working with APIs, writing clean code, and using AI tools like OpenAI, Claude, or similar models to create useful business applications. What You’ll Work On You will help build and improve systems such as: AI-powered research and data extraction workflows CRM and sales process automations Email, spreadsheet, and database automations Internal tools and dashboards API integrations between business software Web scraping and data enrichment workflows when appropriate AI agents or assistants that help with repetitive business tasks Automation around deal screening, reporting, lead research, and document creation Ideal Candidate We are looking for someone who is practical, fast, and can figure things out without needing step-by-step instructions. You should have experience with: Python and/or JavaScript APIs and webhooks OpenAI, Claude, or other LLM APIs Automation tools like Zapier, Make, n8n, Airtable, Google Sheets, HubSpot, Salesforce, or similar Databases such as PostgreSQL, Supabase, Firebase, or similar Basic front-end or internal tool development Web scraping, data cleaning, and structured data workflows GitHub and clean documentation What Matters Most We do not need someone who only talks about AI. We need someone who can actually build. The right person should be able to: Understand a business process quickly Recommend the simplest technical solution Build fast prototypes Turn prototypes into reliable workflows Communicate clearly Document what was built Improve systems over time Nice to Have Experience with any of the following is a plus: Private equity, M&A, finance, or investment workflows Deal sourcing or lead generation systems CRM automation Data enrichment tools AI research agents Browser automation Cloudflare, AWS, Google Cloud, or similar infrastructure Engagement This will start as a part-time project-based role, with the potential to become ongoing if the work is strong. Estimated workload: 5 to 15 hours per week to start. To Apply Please include: Examples of automations or AI tools you have built The tech stack you usually work with A brief explanation of how you would approach automating a messy manual workflow Your hourly rate Your availability Please do not send a generic application. If your response looks copied and pasted, it will be ignored.
- Hourly
- Expert
- Est. time: 3 to 6 months, Less than 30 hrs/week
The AI Process Optimization Specialist is responsible for evaluating, designing, implementing, and continuously improving business processes through the strategic use of Artificial Intelligence (AI), automation, and digital technologies. This role works across all departments to identify inefficiencies, recommend AI-driven solutions, develop implementation plans, and ensure employees successfully adopt new technologies. The ideal candidate combines business analysis, process improvement, project management, and AI expertise to help the organization become more efficient, scalable, and competitive. Key Responsibilities Business Process Analysis Analyze existing business workflows across all departments. Document current processes and identify bottlenecks, redundancies, and manual tasks. Interview department leaders and staff to understand operational challenges. Create workflow diagrams and process documentation. AI Opportunity Assessment Identify tasks that can be automated or enhanced using AI. Evaluate emerging AI technologies and recommend practical business applications. Research AI platforms, software, and automation tools. Conduct cost-benefit analyses for proposed AI initiatives. Workflow Optimization Design more efficient workflows using AI-assisted processes. Develop standardized operating procedures (SOPs). Reduce repetitive manual work. Improve communication and collaboration between departments. Create scalable systems that grow with the business. AI Implementation Configure and deploy AI tools and automation platforms. Coordinate integrations between business software. Test workflows before deployment. Troubleshoot implementation issues. Measure effectiveness using key performance indicators (KPIs). Employee Training & Change Management Train employees on new AI tools and workflows. Develop documentation, tutorials, and training materials. Promote AI adoption throughout the organization. Gather user feedback and continuously improve processes. Performance Monitoring Track productivity improvements and ROI. Measure time savings and operational efficiencies. Maintain dashboards and performance reports. Recommend additional optimization opportunities. Innovation & Continuous Improvement Stay current with advancements in Artificial Intelligence. Evaluate new AI platforms and emerging technologies. Pilot new automation initiatives. Recommend long-term AI strategies that align with company goals. Preferred Qualifications Bachelor's degree in Business, Information Systems, Computer Science, Engineering, or related field (or equivalent experience). Experience in business process improvement or operations management. Strong understanding of AI technologies and automation platforms. Experience with workflow automation tools (Zapier, Make, n8n, Microsoft Power Automate, etc.). Familiarity with Large Language Models (LLMs) such as ChatGPT, Claude, Gemini, and Microsoft Copilot. Excellent analytical and problem-solving skills. Strong project management abilities. Outstanding written and verbal communication skills. Ability to work independently and lead cross-functional initiatives. Technical Skills Preferred experience with: Artificial Intelligence platforms Workflow automation tools CRM systems Project management software Documentation platforms Data analytics and reporting tools API integrations Microsoft 365 and Google Workspace Low-code/no-code automation platforms Core Competencies Strategic Thinking Process Improvement Critical Thinking Systems Analysis Project Management Change Management Business Communication Continuous Learning Innovation Leadership Organization Collaboration Success Metrics Performance will be measured by: Reduction in manual labor hours Increased operational efficiency AI adoption across departments Employee productivity improvements Workflow automation rate Cost savings generated Return on AI investments (ROI) Employee satisfaction with new systems Process documentation completeness Successful delivery of optimization projects Typical Projects An AI Process Optimization Specialist may: Build AI assistants for customer service and internal support. Automate repetitive administrative tasks. Develop AI-powered knowledge bases. Optimize project management workflows. Improve sales and marketing processes using AI. Streamline onboarding and employee training. Create automated reporting dashboards. Integrate AI into website development, customer support, accounting, HR, and operations. Develop company-wide AI usage standards and best practices. Mission To transform the organization into a highly efficient, AI-enabled business by continually identifying opportunities to automate work, improve processes, reduce costs, enhance decision-making, and empower employees through the effective use of Artificial Intelligence.
- Hourly: $25.00 - $52.00
- Intermediate
- Est. time: More than 6 months, 30+ hrs/week
I'm an AI automation expert with a growing roster of clients, and I'm bringing on a skilled freelancer to help handle the smaller projects so I can keep up with demand. This isn't a new or one-off operation. I work with many clients already, and bring on new ones every week. I'm looking for someone reliable I can hand work to consistently, not just for a single project. You should be comfortable building AI automations independently and delivering clean, working solutions for client-facing work. To apply, please: - Send a short Loom introducing yourself - Share examples of your previous automation work I review every application personally, so a quick, genuine intro goes a long way. If we're a good fit, there's steady, ongoing work here.