
Mitul Tailor
Sr. Data Engineer, Long View Systems
Toronto, Canada
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I am a Senior Data Engineer at Long View Systems, specializing in Azure services, data engineering, and AI-driven solutions. With expertise in Azure Data Factory, Fabric, Copilot Studio, and data migration, I have successfully delivered scalable and efficient data solutions.
I hold a Post Graduate Certificate in Generative AI, a PG Diploma in ML & AI, and a Bachelor's in Computer Science. I am DP-600 certified, demonstrating my expertise in Microsoft Azure Enterprise Data Analyst solutions. Additionally, I have a strong understanding of Retrieval-Augmented Generation (RAG) AI and Azure AI Foundry, exploring how these technologies can be leveraged for intelligent automation and data-driven insights.
Recognized by clients for my clear and precise development work, I am passionate about automation, AI, and robotics. Outside of work, I love to travel and have a deep interest in cars.
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From Solo to Swarm - Designing Multi-agent Solutions in Copilot Studio
As organizations adopt AI to drive productivity, the future lies not in a single chatbot or Copilot—but in networks of intelligent agents working together. With Microsoft Copilot Studio’s new capability to connect agents to agents, we can now design distributed systems where specialized copilots collaborate, delegate, and orchestrate tasks seamlessly.
In this session, we’ll walk through building multiple connected agents in Copilot Studio that integrate with Power Automate Flows, AI Builder prompts, and Power Apps to deliver a truly end-to-end intelligent solution. Attendees will learn how to design agent roles, establish communication flows, and embed AI-driven decision-making into their Copilots to solve complex, real-world business scenarios.
Whether you’re a maker, developer, or IT leader, you’ll leave with practical insights and design patterns for scaling beyond a single Copilot—unlocking the power of collaborative AI agents across the Microsoft ecosystem.
Key Takeaways
- Learn how to design multi-agent architectures in Copilot Studio
- See how agent-to-agent communication unlocks more complex and dynamic workflows
- Understand how to integrate Power Automate Flows, AI Builder prompts, and Power Apps with your copilots
- Explore real-world use cases where connected agents boost productivity and collaboration
- Gain practical tips for scaling and governing multiple AI agents in enterprise environments
Unifying Data and Intelligence: Fabric Pipelines to Data Agents
Data professionals today are expected not only to manage and transform data but also to enable intelligence and automation on top of it. In this session, we’ll explore how Microsoft Fabric simplifies data engineering with powerful pipelines and then extend those capabilities by creating AI-driven Data Agents.
Through live demos, we’ll walk step by step through building a Fabric Data Pipeline to ingest, clean, and transform data. Next, we’ll layer in a Data Agent that can interact with this data, provide contextual insights, and automate responses to real business scenarios.
This session is ideal for attendees familiar with SQL and data platforms who want to expand into Fabric and AI-powered automation - without needing to dive deep into custom code. You’ll leave with practical skills to take your data solutions beyond pipelines and into intelligent, agent-driven experiences.
Key Takeaways:
-Understand Fabric’s role in the modern data platform.
-Learn how to build and orchestrate scalable data pipelines.
-Discover how to create intelligent Data Agents that work with your data.
-See how Fabric integrates with Microsoft’s broader data & AI ecosystem.
-Gain practical knowledge you can take back to your projects.
The Hidden Power Behind AI Agents: Data Strategies That Drive Intelligence
In the era of intelligent agents and generative AI, data is not just an input - it is the differentiator. This session focuses on the strategic importance of data in designing, building, and deploying high-performing AI agents. Whether you're using Microsoft Copilot Studio, Azure AI services, or building custom RAG (Retrieval-Augmented Generation) pipelines, the success of your solution hinges on how well your data is curated, connected, and consumed.
We’ll explore end-to-end data strategies — from identifying the right data sources to optimizing them for retrieval and grounding. We'll also discuss how semantic search, vector databases, metadata enrichment, and feedback loops contribute to relevance, accuracy, and adaptability in AI agents.
Key Takeaways:
-Understand the data lifecycle in AI agent development
-Learn how to identify, structure, and prepare enterprise data for grounding and RAG
-Explore best practices for data governance, compliance, and quality
-Discover how to use vector search and semantic indexing for better contextual responses
-Design feedback loops for continuous learning and improvement of AI outcomes
Join us to uncover why great AI agents begin with great data - and how a solid data strategy can elevate your AI initiatives from functional to truly intelligent.
Mastering Agentic AI: Building Intelligent Solutions with Copilot Studio and MCP
Unlock the full potential of agentic AI in this immersive session where you’ll learn to design, automate, and deploy intelligent agents that drive real-world impact. Using Copilot Studio, you can orchestrate complex workflows, create dynamic Agent Flows, and seamlessly integrate AI-driven decision-making into your business processes.
This session goes a step further with the Model Context Protocol (MCP)—a powerful framework that allows your agents to retain, access, and leverage rich contextual knowledge across interactions. By combining MCP with Copilot Studio, you’ll learn how to build agents that are not only reactive but contextually aware, adaptive, and scalable, enabling smarter automation and more personalized outcomes.
Through hands-on demonstrations, you’ll see how to extend Copilot Studio with MCP to create agents that can:
- Maintain deep context across multiple interactions and sessions.
- Make informed decisions by accessing structured and unstructured knowledge.
- Adapt dynamically to new data or evolving business scenarios.
- Scale across workflows while preserving accuracy and relevance.
Key Takeaways:
- Master Copilot Studio’s capabilities to design and deploy agentic solutions.
- Understand MCP and its role in building context-aware, adaptive agents.
- Learn how to extend Copilot Studio with MCP for smarter, real-world automation.
- Gain practical skills to create agents that scale with your business needs.
- Explore strategies for integrating context-driven agents into complex workflows.
Introducing Speakers:
- Arash Aghajani:
Arash is a Microsoft MVP and Solution Architect specializing in Power Platform and D365 CE. He focuses on designing intelligent, secure, and scalable business apps and AI solutions. With deep expertise in automation and enterprise applications, he helps organizations transform AI concepts into practical business impact.
- Mitul Tailor:
Mitul has hands-on expertise in developing AI agents using Microsoft Copilot Studio and Azure AI Foundry. He’s presented at events like AICO NYC and WedoAI, with his session featured on Sessionize. Mitul is passionate about turning AI concepts into practical tools that solve real-world problems.
- Sarang Brahme:
Sarang brings decades of consulting experience across industries, delivering impactful solutions and training in Azure, Data Science, Intelligent Apps, and Power Platform. His deep technical knowledge and commitment to education make him a trusted voice in the community.
Connecting Copilots: Building Multi-Agent AI Systems with Copilot Studio
Copilot Studio now supports connecting agents with each other, opening up new ways to design solutions that go beyond a single chatbot. In this session, we’ll demonstrate how to build and connect multiple agents in Copilot Studio and extend their capabilities with Power Automate flows, AI Builder prompts, and Power Apps.
The focus will be on practical examples, showing how connected agents can collaborate to handle different parts of a process and provide more complete solutions. Attendees will see how to structure agent roles, establish simple communication flows, and integrate with the broader Power Platform to add automation and intelligence.
Key Takeaways:
-Understand how agent-to-agent connections work in Copilot Studio
-Learn how to set up and structure multiple agents for specific tasks
-See how to extend Copilot Studio agents with Power Automate, AI Builder, and Power Apps
-Gain practical tips through a step-by-step demo you can apply in your own environment
Building Intelligent Agents using Microsoft Copilot Studio and Azure AI Foundry
This session explores how to build and extend AI-powered agents using Microsoft Copilot Studio, AI Foundry, and Power Automate to enhance user experiences and automate business processes. Attendees will gain practical insights through live demos, real-world use cases, and integration best practices.
Key Highlights:
-Introduction to Copilot Studio’s low-code/no-code capabilities for AI agent development
-Extending agent intelligence with AI Foundry
-Automating workflows and triggering actions using Power Automate
-Integrating agents with Power Platform, Dataverse, and enterprise systems
-Live demonstration of an AI-powered agent in action
-Best practices and real-world scenarios for deploying AI-driven solutions
Learning Objectives:
1. Develop and Deploy AI Agents – Learn how to design, build, and deploy AI agents using Microsoft Copilot Studio’s low-code/no-code capabilities.
2. Enhance AI Agents with Automation – Understand how to integrate AI Foundry for smarter decision-making and leverage Power Automate flows to automate workflows and trigger actions.
3. Integrate AI Agents with Enterprise Systems – Explore integration techniques with Power Platform, Dataverse, and other data sources to create seamless and efficient AI-driven solutions.
I am from Canada and would be delivering this session virtually if selected.
Building Intelligent Agents using Microsoft Copilot Studio and Azure AI Foundry
This session explores how to build and extend AI-powered agents using Microsoft Copilot Studio, AI Foundry, and Power Automate to enhance user experiences and automate business processes. Attendees will gain practical insights through live demos, real-world use cases, and integration best practices.
Key Highlights:
-Introduction to Copilot Studio’s low-code/no-code capabilities for AI agent development
-Extending agent intelligence with AI Foundry
-Automating workflows and triggering actions using Power Automate
-Integrating agents with Power Platform, Dataverse, and enterprise systems
-Live demonstration of an AI-powered agent in action
-Best practices and real-world scenarios for deploying AI-driven solutions
Learning Objectives:
1. Develop and Deploy AI Agents – Learn how to design, build, and deploy AI agents using Microsoft Copilot Studio’s low-code/no-code capabilities.
2. Enhance AI Agents with Automation – Understand how to integrate AI Foundry for smarter decision-making and leverage Power Automate flows to automate workflows and trigger actions.
3. Integrate AI Agents with Enterprise Systems – Explore integration techniques with Power Platform, Dataverse, and other data sources to create seamless and efficient AI-driven solutions.

Mitul Tailor
Sr. Data Engineer, Long View Systems
Toronto, Canada
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