AI Mentorship for building chatbots and Agentic AI for QMS Governance

@SmartCodeDev

Hello. I can partner with you one-on-one to build production-ready AI for QMS governance while teaching each step in a practical, hands-on way. We’ll start by setting up bots in Microsoft Copilot Studio and Confluence Rovo, then quickly evolve into agentic workflows integrated with Teams and your knowledge base. Sessions will be pair-programming focused with live building, clear explanations, and immediate application to your QMS use cases. After each session, I’ll share reusable prompts, scripts, and structured notes so you can extend the work independently. I’m comfortable guiding from fundamentals to advanced orchestration, including data integration, governance logic, and continuous improvement models. We can begin with a short pilot and define a clear roadmap for scaling into a full QMS AI system.

@SkillCrafts

Your goal of integrating Agentic AI into QMS governance is a compelling use case where precision, auditability, and data integrity are non-negotiable. Having recently architected multi-agent systems for regulatory compliance in the medical device sector, I understand the unique challenges of building AI that must strictly adhere to ISO standards and internal SOPs. I’m eager to partner with you as both a mentor and lead engineer, ensuring that while we build out the Quali infrastructure, you are gaining a deep, hands-on understanding of the orchestration layers that make agentic systems truly reliable. Our technical approach will center on building a modular RAG pipeline using LangGraph or CrewAI to manage stateful, multi-turn interactions and complex task decomposition. We will implement sophisticated Human-in-the-Loop (HITL) checkpoints to ensure the AI's governance decisions meet your quality standards before execution. Furthermore, I will guide you through the integration of vector databases like Weaviate or Pinecone for high-dimensional document retrieval, alongside a robust evaluation framework using RAGAS to quantify the faithfulness and relevance of the agent's outputs. This ensures that the final product is not just a prototype, but a resilient, enterprise-grade system capable of handling rigorous QMS audits. What is the current scale of the documentation we’ll be indexing, and do you have a preference for a specific LLM provider like OpenAI or a localized model? I would also like to understand the specific agentic tasks you prioritize—whether it’s automated auditing or document drafting. I’m available for a quick chat or a discovery call this week to review your existing architecture and see how we can best structure this mentorship to hit your production goals.

@johnedwardl

Hi, I’ll help you establish a production-ready AI for your Quality Management System by guiding you through a structured learning path with Microsoft 365 Copilot and Rovo. My extensive experience mentoring others in similar environments allows me to effectively teach both the fundamentals and advanced concepts, ensuring you gain practical skills through hands-on coding sessions. We will start by setting up Copilot Studio and Rovo chatbots, progressing quickly to advanced agentic AI functionalities. I will assist you with real-time coding, prompt writing, and integrating data sources while emphasizing clear explanations of design choices. After each session, you’ll receive reusable code and scripts, committed to a shared repository for your review and practice. To tailor our collaboration, I’d like to discuss your specific goals for the initial pilot engagement and outline key milestones. This way, we can ensure your learning experience is both effective and aligned with your objectives. Thank you.

@billybryan98

Hello, I hope you are well. I’m an independent developer specializing in hands-on AI coaching and production-ready integrations across Microsoft 365 Copilot, Confluence, Jira, and data pipelines. I design practical, mentor-led sessions that bridge theory and real results, keeping everything aligned with a QMS governance focus. In practice, I’ve mentored teams at the intersection of Microsoft 365 and Confluence, guiding them from basic Copilot bots to robust, agentic AI workflows. I’ve built and tested data wiring, prompts, and integrations with Teams and Confluence pages, and I keep reusable code and prompts checked into a shared repo so you can study and extend them between meetings. I can guide you through pair-programming style sessions, clear reasoning behind design choices, and a structured roadmap from Day 1 to advanced agentic AI. I’ll deliver concise, hands-on lessons with live screen sharing, code, and prompt scripts that you can reuse. Please feel free to contact me so we can discuss more details. I am looking forward to the chance of working together. Best regards, Billy Bryan

@SonnyDube

I am a perfect fit for your project focused on building production-ready AI for Quality Management System governance using Microsoft 365 Copilot and Confluence with Rovo. I will ensure clean implementation and seamless functionality by guiding you through standing up Copilot Studio and Rovo chatbots, progressing to advanced agentic AI supporting the full QMS lifecycle with practical, hands-on pair-programming sessions. While I am new to Freelancer, I have strong experience and have delivered similar solutions outside the platform, including mentoring on Microsoft 365 and related ecosystems. I offer a free consultation to understand your goals deeply and tailor the best technical approach. I would love to chat more about your project! Regards, Sonny Dube

@thebartelli

QMS governance is a good fit for agentic AI precisely because the workflows are structured and the rules are documentable. Gap detection, process reviews, and improvement recommendations are all problems where a well-wired agent with the right data sources can do real work, not just summarise pages. I've built AI automations and integrations across Microsoft 365 and Confluence environments before, including prompt engineering, data source connections, and workflow logic that holds up in production. The pair-programming format you're describing is how I prefer to work when the goal is genuine skill transfer rather than just delivery. The way I'd structure a pilot: first session we stand up a working Copilot Studio bot and a Rovo chatbot side by side so you see both architectures from the start. From there we move into agentic patterns, connecting your QMS data sources, building the governance logic live, and committing everything to the shared repo after each session so you can extend it between meetings. Short pilot of two or three sessions to validate the fit before committing to the full roadmap makes sense. What does your QMS data look like right now, mostly in Confluence pages, or is there structured data in other systems too?

@Abutalha5

Hi, I am Abutalha, an AI engineer with experience in building agentic AI systems and working with Microsoft 365 and automation tools. For this, I can work with you in a hands-on, pair-programming style to set up Copilot Studio and Rovo chatbots, then move into building agent-based workflows for QMS governance. We will connect your data sources, design prompts, build agents for process reviews and gap detection, and integrate everything with Teams and Confluence. I will explain each step clearly and share reusable code, prompts, and scripts after every session. We can start with a short pilot, then define a roadmap for advanced agentic features. I’m ready to begin and work alongside you step by step. Best Regards, Abutalha

@raheelkxoftech

Greetings, This engagement sits at the intersection of two worlds I know deeply regulated pharmaceutical quality systems and enterprise Microsoft technology and that combination is exactly what makes a QMS AI initiative succeed or stall. Over a 15-year career, I have worked inside Quality Management environments at Bayer, Novartis, and Getz Pharma, giving me hands-on familiarity with the compliance frameworks that govern this space: FDA 21 CFR Part 11, EU GMP Annex 11, ICH Q10, and CAPA-driven process governance. On the technology side, I bring deep expertise across the full Microsoft 365 ecosystem Copilot Studio, Power Automate, Power Apps, Power BI, and SharePoint Online as well as enterprise collaboration platforms including Confluence and Jira. I have built production-grade, integrated business applications for organizations including the Ministry of Education Dubai, Emirates Airlines, Ministry of Finance Qatar, and LogicalOutcomes Canada, leading these engagements end-to-end as Project Lead. For your QMS AI roadmap specifically, I am comfortable taking you from foundational Copilot Studio and Rovo chatbot builds all the way through to fully agentic workflows covering process reviews, gap detection, governance controls, and improvement recommendations wired into your Teams and Confluence environments with reusable, repo-checked code after every session. I would welcome a conversation to align on your pilot scope, timeline, and first milestones. Rahim

@aidevbyainika

Subject: AI Mentorship for QMS Chatbots & Agentic Systems Hello, I’d be glad to work with you in a hands-on, one-on-one setup to build real AI systems while mentoring you through the process. I’ve built chatbot and agent-based systems using structured prompts, APIs, and workflow automation, and I focus on practical learning through building, not theory. We can start with Copilot Studio and Rovo fundamentals, then move quickly into agentic AI for QMS use cases like process reviews, gap detection, and governance workflows. My approach is pair-programming style—screen sharing, building live, and explaining decisions clearly so you can apply them independently. Technically, I work with Python, FastAPI, REST APIs, and automation tools, integrating with platforms like Teams, Confluence, and external data sources. I’ll also provide reusable prompts, scripts, and structured code after each session. The goal is to build a scalable, production-ready system while ensuring you fully understand how it works and can extend it. Happy to start with a short pilot and define the roadmap together. I have enough time to give you without hurry up(30-60 hours/week). Regards, Saidul Islam Python-Django Based SaaS, AI Agent & n8n Automation Developer "Build it once, use it forever, and keep your API costs at a minimum!"

@ggokulakannan3

Hi, I'm Gokulakannan — an IT Product Manager and AI practitioner with hands-on experience in Microsoft 365, Jira, Confluence, and deploying AI agents and automation pipelines using tools like n8n, OpenAI APIs, and LLM frameworks. Your QMS governance use case is exactly the kind of work I do — building AI-powered workflows for process review, gap detection, and compliance automation within Microsoft 365 and Confluence environments. What I bring to our sessions: ✅ Deep familiarity with Microsoft 365 Copilot, Teams, and Confluence (Rovo add-on) ✅ Practical experience building agentic AI systems and chatbots ✅ QMS and process governance background in life sciences and IT ✅ Mentor mindset — I explain design decisions clearly so you can extend the work independently ✅ Git-based code handoffs after each session for your ongoing study I suggest we start with a scoped pilot session — set up Copilot Studio and Rovo, wire up a first QMS agent, and then iterate from there. I can adapt the pace fully to your learning goals. Looking forward to connecting — shall we schedule a brief intro call to align on scope?