We are a Managed IT Services Provider (MSP) serving small and mid-sized businesses (typically 10–100 employees) and have built our reputation on long-term client relationships and trusted technology advice. Our clients are increasingly asking us to help them adopt AI. We're looking for an experienced AI consultant to become an extension of our team and provide strategic guidance, solution design, and technical leadership. This is an ongoing partnership rather than a one-time project. What We're Looking For We are looking for someone who has successfully designed and implemented AI solutions for businesses and can confidently guide clients from initial discovery through implementation. You should be able to understand a client's business, identify where AI can provide meaningful value, recommend the appropriate technologies, build an implementation roadmap, and support our engineering team throughout the project. Our internal team will perform much of the implementation. We need someone who can provide the expertise, architecture, and strategic direction. Responsibilities You will work alongside our sales and engineering teams to: Join client discovery meetings Evaluate business processes and identify AI opportunities Recommend practical, ROI-focused AI solutions Help clients understand available AI technologies and select the right approach Design solution architecture Build implementation plans and project roadmaps Create scopes of work and technical requirements Assist with client presentations and proposal development Advise our engineers during implementation Provide ongoing consultation as projects evolve Required Technical Expertise You must have deep, hands-on experience with: Anthropic Claude (prompt engineering, Projects, MCP, API integrations, enterprise use cases, workflow design, and best practices) OpenAI / ChatGPT (GPT models, API usage, Assistants/Agents, function calling, enterprise deployments, and integrations) Microsoft 365 Copilot You should be the person our team turns to when deciding which model to use, how to architect a solution, and how to solve complex implementation challenges. Additional Experience Preferred Experience with several of the following is highly desirable: Microsoft Azure AI Google Gemini AI agents and autonomous workflows Retrieval-Augmented Generation (RAG) Model Context Protocol (MCP) Vector databases Knowledge management systems AI governance and security Business process automation Power Platform n8n Make Zapier CRM, ERP, and line-of-business integrations Custom AI application development The ideal consultant: Has led multiple successful AI implementations for businesses Understands both the technical and business sides of AI Can communicate effectively with executives as well as engineers Knows when AI is, and is not, the right solution Stays current with the rapidly changing AI landscape Can translate business problems into practical AI implementations Can implement lower cost solutions for smaller companies with limited budgets Typical Engagement A typical engagement might include: Meeting with a client's leadership team Understanding their workflows and business challenges Identifying the highest-value AI opportunities Recommending the appropriate technologies and architecture Estimating project effort and ROI Helping present recommendations to the client Supporting our engineering team during implementation Remaining available as a technical advisor as needed To Apply Please include: Your background designing and implementing AI solutions for businesses. A representative AI project you've personally led, including the technologies used and measurable business outcomes. Your experience with Claude and OpenAI, including APIs, enterprise deployments, and complex workflows. Your experience with MCP, AI agents, RAG, and business process automation. How you typically conduct an AI assessment for a new client. We're looking for a long-term strategic partner who can become the AI expert for our organization and help us deliver exceptional AI solutions to our clients.

Need someone who is very well versed in the AI world to help set up (and walk me through) getting my e-com store situated and using the best AI softwares properly

I am building an AI automation system for roofing companies and need an experienced developer to help build the first version. The system will help roofing companies: - Capture and qualify leads automatically - Follow up with missed calls/texts - Schedule appointments - Use AI chat/voice automation - Track leads in a simple dashboard/CRM I already have the business model and sales strategy. I need a developer who can help turn the idea into a working product. Requirements: - Experience with AI automation - Experience with APIs (OpenAI, Twilio, etc.) - Experience building web applications - Ability to create clean, scalable systems - Good communication Preferred skills: - React/Next.js - Node.js - Python - Database experience - AI agent development I am looking for someone who could potentially become a long-term development partner as this grows. Please include: 1. Examples of AI systems you have built 2. Your preferred tech stack 3. How you would approach building this system 4. Your estimated timeline

**AI Agents Trainer / Microsoft Copilot Studio Workshop for HR Leaders** We are looking for an experienced AI practitioner and trainer to help design and deliver a practical, hands-on workshop introducing AI agents to a nontechnical HR leadership audience. This is not a developer or highly technical audience. We are looking for someone who can translate AI concepts into plain language, connect them to real business workflows, and create an engaging learning experience that culminates in participants building their first AI agent. **What We're Looking For** The workshop should help participants: * Understand what AI agents are and how they differ from traditional AI/Copilot use * See practical examples of how agents are being used to automate or redesign knowledge work * Identify repetitive or process-driven work that could potentially be delegated to an AI agent * Understand the fundamentals of designing an effective agent * Receive hands-on instruction using Microsoft Copilot Studio * Design, build, test, and improve a simple functional agent * Leave with enough confidence and understanding to continue experimenting with agents independently **Audience** HR leaders and professionals with varying levels of AI experience. Participants are business users, not programmers or developers. The training needs to be approachable, interactive, and focused on practical application rather than technical theory. **Format** We anticipate approximately 1–5 hours of training and are open to recommendations from the selected trainer regarding the appropriate length and structure. I will lead the broader portion of our program connecting effective AI use to leadership and management skills. This engagement would focus specifically on AI agents, practical use cases, and the hands-on learning/building experience. **Ideal Background** We are particularly interested in someone who combines: * Hands-on experience building AI agents * Microsoft Copilot Studio experience * Strong presentation and facilitation skills * Experience teaching nontechnical business audiences * Ability to translate technical concepts into practical business applications * Experience with HR, shared services, or business process improvement is a plus When submitting a proposal, please briefly describe how you would structure the workshop, your recommended length, relevant training or facilitation experience, examples of agents or AI solutions you have built, and your estimated project cost. Our goal is not simply to teach participants how to use a new tool. We want them to begin thinking differently about how work can be designed—where AI can handle repetitive work and where people can spend more time on judgment, relationships, coaching, and strategic decision-making.

We started as a luxury private client styling business five years ago and we are winding that company down on December 31 to grow the consumer software business we have been building: an AI-native fashion marketplace, new Delaware C-corp, new domain, new everything. Five years of operating history lives in the old company, and we have until December 31 to get it into the new one correctly. Full detail is attached. The short version: WHAT WE NEED, IN PRIORITY ORDER One. Get the migration right. Everything the new company needs arrives intact and searchable. Everything that should stay behind stays behind. Both failures are expensive and mostly unrecoverable. Two. Give us one machine interface over our content. Our AI agents cannot reliably retrieve our own documents, and our automations cannot prove they wrote what they claim. Our CEO designed and built the current stack herself. The applications work individually; the layer across them does not. She spent two weeks rebuilding one nightly routine that still does not run, and she does not have time to become a full-time agent orchestrator. THE PROBLEM, HONESTLY No common machine interface. Reach varies by agent surface, permissions are inconsistent, writes are unverified. Shared-drive retrieval through AI connectors is unreliable and spreadsheet content does not index. Markdown, which is most of what our AI tools produce, does not open in our shared drive at all. One agent reads our private code repositories, another has no repository access, a third holds no credential. Automations that lie. One scheduled job ran for two weeks reporting success while writing nothing. It stalled mid-run and exited cleanly. Everything downstream kept consuming a report that had quietly stopped being true. An incoherent corpus. Our decision records contain superseded entries and our project context goes stale. Excellent retrieval over a contradictory corpus produces well-cited incoherence, which is worse than no retrieval because it arrives with sources attached. Finding documents is not the whole job. WHAT WE RUN Google Workspace, Linear, Airtable, Slack, GitHub, Fireflies, Claude, Attio, Apollo, HubSpot, Ramp, QuickBooks, 1Password, DocuSign, Netlify, and a Slack-based agent that produces genuinely good daily executive briefings. We are not attached to any of it, but would need a very good reason to migrate another tool. We have deliberately left our own vendor research out of this posting because we want your read, not ours reflected back. PHASE ONE: ASSESSMENT AND PROOF OF CONCEPT Hourly against a cap we agree up front, roughly two to three weeks. Read-only access plus a segregated sample corpus. What we are buying is a scored comparison of configured products, a working proof of concept rather than a diagram, a retrieval benchmark with measured results, a verified write pattern demonstrated in one real workflow, and a migration sequence. No migration starts until the benchmark passes. Phase two is the build, hourly, commissioned separately. After that we want you available as the product ships and workflows change. Not a full-time operator. HOW WE WORK Small team, Los Angeles, Pacific time. Mostly async and written. One live check-in a week, thirty minutes, more only if something is genuinely stuck. Everything else in a shared Slack channel. Nothing scheduled before 8:30am or after 5:30pm Pacific. Written updates twice a week: what you did, what you found, what you decided, what you need from us. Short is fine. We would rather have four honest sentences than a status deck. We will give you direct answers and fast decisions. In return, tell us when we are wrong, and flag problems when you find them rather than when they become unavoidable. DOCUMENTATION IS A DELIVERABLE This matters more here than in most engagements, because the problem we are hiring you to solve is that our own knowledge is scattered and unreachable. If your work lives in your head or in Slack threads, you have recreated the problem you were hired to fix. Every decision written down with the reasoning, not just the outcome. What you tried, what you rejected, and why. TO APPLY Answer these three: One. Our agents each reach a different subset of our stack and none of them reads our documents reliably. What would you actually do, and what would you test first? Two. Tell us about a scheduled job you built that failed silently. How did you find out, and what changed structurally so it could not happen again? Three. What is one thing you would refuse to automate, and why? We read every answer. We care about judgment far more than hours.

I need someone who can help me build out an internal AI workflow that collects hundreds of large PDFs, extracts dozens of data points from the PDFs, and stores them in a database. The workflow should be able to handle large volumes of data efficiently and accurately. Experience with AI and data processing is essential.

We are seeking an experienced AI Automation Engineer to help streamline business operations through AI Agents, workflow automation, CRM integrations, and API-driven solutions. This role requires someone who can analyze business processes, identify automation opportunities, and implement scalable systems that reduce manual work and improve operational efficiency. Responsibilities Lead Generation & Sales Automation •⁠ ⁠Build AI Agents for lead sourcing and qualification. - Automate outreach, follow-ups, and appointment scheduling. - Integrate with CRM platforms and sales pipelines. - Implement automated lead nurturing workflows. Social Media Automation •⁠ ⁠Generate AI-powered content and marketing copy. •⁠ ⁠Automate content scheduling and publishing. •⁠ ⁠Build workflows for campaign management and reporting. Customer Support Automation •⁠ ⁠Develop AI chatbots and conversational AI solutions. •⁠ ⁠Automate Instagram, Facebook Messenger, and WhatsApp interactions. •⁠ ⁠Create AI-driven booking and inquiry management systems. Business Process Automation •⁠ ⁠Design workflow automation solutions. •⁠ ⁠Build API integrations between business platforms. •⁠ ⁠Create dashboards, notifications, and reporting systems. •⁠ ⁠Automate repetitive administrative tasks. Required Skills AI Automation, AI Agents, Workflow Automation, Business Process Automation, CRM Integration, OpenAI API, Claude API, Make.com, Zapier, n8n, GoHighLevel, ManyChat, Python, Node.js, API Development, Database Design Preferred Experience •⁠ ⁠Lead Generation Automation •⁠ ⁠Sales Automation •⁠ ⁠WhatsApp Business API •⁠ ⁠Meta APIs •⁠ ⁠Marketing Automation •⁠ ⁠Customer Support Automation •⁠ ⁠SaaS Integrations To Apply Please provide: •⁠ ⁠Years of experience. •⁠ ⁠Similar AI automation projects completed. •⁠ ⁠Recommended technology stack. •⁠ ⁠Hourly rate. •⁠ ⁠Weekly availability. •⁠ ⁠Examples, screenshots, case studies, or demos.

We are an accounting/tax firm looking to implement an AI phone system to help reduce manual phone interruptions, improve new client intake, handle incoming leads, and better route existing client calls. The goal is to explore whether an AI phone assistant or AI receptionist can help with things like: Answering or assisting with inbound calls Screening new prospects Collecting basic client/prospect information Routing calls to the right person Helping with common administrative questions Scheduling appointments Reducing calls about return status, signatures, document uploads, and general next steps Creating call summaries or notes that can be added to a CRM/workflow system We are not looking for the AI to provide tax advice. This needs to be a professional, compliance-conscious workflow where the AI collects information, answers approved administrative questions, routes calls, and escalates anything that requires human judgment. We are looking for someone who can help us think through the best approach, recommend the right tools, and guide us through implementation. Ideal experience: AI phone agents or AI receptionist systems Call routing workflows CRM integrations Appointment scheduling integrations Zapier, Make, or API-based automation Professional services experience Accounting, tax, legal, financial services, or other compliance-sensitive industries Call summaries, transcripts, and workflow documentation Potential tools could include AI receptionist platforms, voice AI tools, or phone systems that integrate with CRMs and scheduling software. We are open to recommendations. Initial scope: Understand our current phone intake and call-routing needs Recommend possible AI phone system options Help define what the AI should and should not handle Create suggested call flows for new prospects and existing clients Help determine what information needs to be collected Recommend escalation rules Advise on CRM/scheduling integration Help us create a pilot plan before going fully live Please include examples of similar AI phone, receptionist, call routing, or automation projects you have worked on. We are looking for someone who can act as an expert guide and help us make the right decision before implementation.

I'm looking for an experienced AI automation specialist to build and deploy a 24/7 AI receptionist for my business. The ideal solution should professionally answer incoming phone calls, engage with customers naturally, qualify leads, schedule appointments, transfer calls when necessary, and integrate seamlessly into my existing business workflow. Required Features -Answer inbound calls 24/7 with natural, human-like conversations -Qualify leads by asking the right questions -Book appointments directly into my calendar -Transfer calls to team members when appropriate -Answer common customer questions using business-specific knowledge -Send SMS or email follow-ups when needed -Integrate with my CRM, calendar, and other business tools -Handle missed calls and capture lead information -Reliable, scalable, and easy to manage Preferred Experience Please apply if you have experience with tools such as: -Vapi -Retell AI -Bland AI -ElevenLabs -OpenAI / GPT -GoHighLevel -Make (Integromat) -Zapier -Twilio -Google Calendar -CRM integrations What I'm Looking For -Strong communication skills -Experience building production-ready AI voice agents -Ability to recommend the best architecture and tools -Clean workflow automation -Fast turnaround -Ongoing support is a plus When Applying Please include: -Examples of AI receptionist or voice AI projects you've completed. -The tools and platforms you recommend and why. -Your estimated timeline. -Your fixed-price quote or hourly rate. I'm looking for someone who can build a reliable, professional AI receptionist that provides an excellent customer experience while automating my front desk operations. If you've built similar systems before, I'd love to see your work.

We're Bizz Vital Clinic LLC, and we have an internal tool that lets our team upload financial documents (invoices, balance sheets, bank statements, reports) and ask questions about them. It's built on Python + FastAPI with OpenAI, LangChain, and ChromaDB, and it's already running. The problem is the PDF parsing. The text extraction isn't reliable, especially with tables and numbers. Rows get dropped, columns get scrambled, and some figures come out wrong. Since the parsed text feeds into our chunking and embeddings, bad parsing means bad answers, and with financial data, we can't have the numbers off. We don't need a rebuild. The rest of the app works fine. We just need someone to look at the parsing part, figure out what's going wrong, and fix it so extraction (including tables and numbers) is accurate. Stack: Python, FastAPI, OpenAI API, LangChain, ChromaDB, Docker What we need: - Review the current PDF parsing code - Find out why extraction is inaccurate - Fix it (open to switching libraries if needed: pdfplumber, PyMuPDF, Camelot, Unstructured, etc.) - Make sure tables and numbers come through correctly - Confirm the fix improves answer accuracy without breaking the existing pipeline It's a focused bug fix, but the codebase is fairly large, so you'll need to be comfortable working in existing code. When applying, please share: - A similar PDF parsing/data extraction problem you've handled before - A quick note on how you'd approach diagnosing this