Mohammad Bapu
Microsoft Copilot & Power Platform Specialist | DevRel | AI Enablement & Adoption | Agentic AI | Speaker | Creator
Toronto, Canada
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Mohammad is a Functional Consultant & Developer Advocate, specializing in Dynamics 365, Power Platform, Microsoft 365 Copilot, Copilot Studio & Foundry. He helps organizations drive digital transformation - AI adoption, streamline business processes, and implement governance frameworks that balance innovation with compliance. With hands-on experience building AI-powered solutions, automations, and agents, Mohammad is passionate about making Microsoft AI tools accessible, practical, and impactful for diverse teams. A community mentor & technology advocate, he enjoys sharing his knowledge to empower users and organizations to innovate responsibly.
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It Looks Different… Because It Is: Copilot Studio's New GitHub Copilot Harness Explained
Log in to Copilot Studio today and the screens have moved but the interface is the least of it.
Microsoft has shifted modern agents onto the GitHub Copilot harness, the same engine behind its most capable agent tooling, and it arrives with new building blocks, model choice, and consumption-based licensing.
This session explains the new architecture, we will separate the two things sitting under every agent - the AI model that reasons & the harness that supplies its context, tools and guardrails.
From there we turn to what this changes day to day: agents and workflows as two equal, combinable capabilities; why topics have given way to skills as the core building block; and a licensing model that bills you while you build, not only once you publish.
From 10 Agents to 10,000: Master the 4 Levels of Agent Management
Anyone with a license can build an agent, and in most tenants they already have, including ones wired into Dataverse or your ERP by someone never shown how a connection inherits credentials. Most AI pilots never reach production, and unmanaged agent sprawl is a large part of why.
This session introduces a four-level framework for agent management - identifiable, observable, controllable, governable & maps each level to Microsoft tools you already own. We will separate Entra Agent ID from Agent 365, and get specific about what guardrails actually mean in the Power Platform.
We then walk through one organisation's environment redesign using managed environments, groups and pipelines, before closing on the two traps that catch teams most often: default-environment sprawl, and the licensing bill that follows a badly timed switch to managed.
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Key Takeaways:
-Understand the four levels of agent management and how they build on each other
-Map Agent 365, Entra Agent ID and Power Platform controls to each level
-Sequence a default-environment clean-up without an unexpected licensing bill
Build Your First AI Agents with Microsoft’s Agent Academy
Note: Workshop will include HANDS-ON tutorials. Bring your own fully charged laptop and power cord
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AI agents are moving fast from buzzword to business reality. Many professionals want to skill up but struggle to find the time, guidance, or structured learning path to get started. Is this you? Is learning how to build and extend agents in Copilot Studio a to-do list item that keeps getting pushed?
Join Mohammad B. (Functional Lead) for a thrilling 90 mins of learning...and also earn your AI Agent recruit badge! This workshop brings the official Microsoft Agent Academy curriculum to life in a fun, interactive, and community-driven setting. You’ll leave with both hands-on skills and the confidence to continue your AI journey.
By the end of this workshop, as an attendee, you will be able to:
• Understand the fundamentals of AI agents and their role in modern business solutions
• Design and build your first working AI agent using Copilot Studio
• Connect agents to real-world scenarios, improving productivity and customer engagement
• Take home resources, labs, and patterns to continue learning and applying agents after the event
• Network with like-minded community members and make new friends who are on the same learning journey as you!
Approach / Delivery:
• Guided hands-on labs
• Real-world examples to ground abstract concepts in business scenarios
• Open Q&A and troubleshooting with the facilitator
Shadow AI: Governing AI Without Slowing Innovation
Generative AI tools are being adopted rapidly across organizations, often without formal approval, oversight, or governance. While this “Shadow AI” is typically driven by a desire for productivity, it introduces significant risks, including unintended data exposure, compliance gaps, and loss of control over sensitive information.
With the rise of Microsoft 365 Copilot, these risks evolve. AI is no longer just external, it is embedded inside the digital workplace, operating on top of existing permissions, data structures, and collaboration patterns. This means organizations must rethink how they approach governance: not by blocking AI, but by understanding and guiding its use.
This session explores a practical approach to managing Shadow AI in both external tools and within Copilot. It introduces a lightweight governance model focused on detection, risk understanding, policy-driven control, and user guidance. Attendees will learn how to balance innovation with control & enabling employees to safely leverage AI while protecting organizational data.
Scaling Public Services with GenAI: Lessons from Montréal’s Copilot Studio Implementation
Using the City of Montréal’s Copilot Studio implementation as a real-world case study, this session explores what it takes to deploy conversational AI at scale in a public-sector environment.
We’ll examine how the city enabled natural-language access across 40,000+ webpages and connected APIs using Microsoft Copilot Studio and generative AI to improve citizen engagement, service accessibility, and operational efficiency.
Beyond the technology itself, attendees will learn practical lessons around AI-friendly content design, Bing indexing, enterprise search, API integrations, governance, analytics, and responsible AI considerations. The session will also highlight the collaboration model between business and IT teams that helped support scalable AI adoption.
Drawing from hands-on experience with Power Platform and Microsoft AI implementations, I’ll translate these lessons into actionable enterprise strategies for building compliant, impactful conversational AI experiences across organizations.
Attendees will leave with practical implementation patterns, governance insights, and real-world lessons for deploying enterprise-ready copilots that improve user experience while balancing compliance and operational needs.
Where Enterprise AI Actually Breaks - 5 Lessons from Real Implementations
Most enterprise AI initiatives don’t fail at the idea stage; they fail during implementation. In this session, I’ll share 5 key lessons from real-world AI adoption inside organizations, focusing on what happens after rollout.
We’ll explore common breakdown points, including low user adoption, unclear data ownership, and AI tools that don’t align with daily workflows. I’ll walk through real scenarios where initial approaches didn’t work, the constraints we faced, and the adjustments that delivered measurable results.
Attendees will leave with practical guidance on how to avoid common pitfalls, integrate AI effectively, and drive adoption across teams. This session is about decisions, trade-offs, and actionable strategies not theory/generic tool demos.
Why Enterprise AI Projects Fail and the Data Strategy Mistakes Behind It
Enterprise AI initiatives often fail not because of the technology, but due to misaligned data strategies, weak governance, and poor integration with business processes. Many organizations invest in AI tools expecting quick results, but without a strong data foundation and clear direction, these efforts struggle to deliver real value.
In this session, I will share practical insights from helping organizations adopt AI, improve workflows, and implement governance frameworks that balance innovation with compliance. The focus will be on common data strategy mistakes, including fragmented data, unclear ownership, and lack of alignment between business and technology teams.
The session will also explore how to integrate AI into everyday workflows to improve adoption and ensure it supports real business needs. In addition, attendees will learn simple ways to measure success through outcomes such as efficiency, productivity, and return on investment.
By the end of this session, participants will gain a clear understanding of why enterprise AI projects fail and how to design data strategies that enable successful, responsible, and scalable AI adoption across teams.
The AI-Native Workplace Summit 2026 Sessionize Event
Global Data & AI Virtual Tech Conference 2026 Sessionize Event
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Microsoft Community Days Montreal Sessionize Event
AI & Automation Hackathon : AUTOMATE OR DIE Sessionize Event
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AI Community Days (AICD) Montréal 2026 Sessionize Event
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