AI adoption is skyrocketing across startups, but identity and access governance often lag behind. As a Microsoft MVP in AI and a global startup mentor, I’ve seen early-stage teams build innovative solutions—yet leave critical gaps in their identity architecture, from over-permissioned APIs to unsecured service accounts in cloud-native stacks.
This session explores real-world startup stories where identity misconfigurations created security risks, and how AI amplifies those vulnerabilities. We’ll cover how Gen AI and LLMs interact with identity layers, the dangers of shadow AI usage, and what founders can do to implement zero trust, least privilege, and secure cloud access early on—without slowing down product velocity.
Perfect for identity professionals, CISOs, and cloud architects working with fast-moving teams or advising early-stage ventures.
In this dynamic panel, we explore how startups can harness the power of AI to accelerate product development, improve decision-making, and unlock new market opportunities. Whether you're building your MVP, scaling operations, or pitching to investors, AI offers transformative potential—but also unique challenges.
Join a diverse group of founders, engineers, and investors as they share real-world experiences, practical tools, and strategic insights. From low-code platforms to ethical AI practices, this session will equip you with the knowledge to make smarter, faster, and more responsible decisions in your startup journey.
Key Takeaways:
How to integrate AI into your startup from day one
Tools and platforms that make AI accessible to small teams
What investors look for in AI-driven startups
Common pitfalls and how to avoid them
Building ethical and scalable AI solutions
Ideal for:
Startup founders, product managers, developers, and anyone curious about applying AI in early-stage ventures.
Microsoft Copilot Studio supports multi‑agent orchestration, enabling agents to collaborate on end‑to‑end business processes. This session shows how multi‑agent workflows operate, how an orchestrator coordinates specialist agents, passes data, and triggers handoffs—all with low‑code configuration. Learn how to automate multi‑step, cross‑team scenarios in Microsoft 365 without hard‑coding logic into a single agent.
1:20 PM to 2:50 PMHP LAB
Building Intelligent Agents: Hands-on Workshop with Copilot Studio, Microsoft AI Foundry
Unlock the full potential of AI-driven automation in this hands-on workshop, where you’ll learn to build, deploy, and orchestrate AI agents using Copilot Studio and Microsoft AI Foundry. This session focuses on practical, real-world applications, empowering you to design intelligent agents that streamline workflows, enhance productivity, and integrate seamlessly with the Microsoft platform.
The workshop will focus on building AI agents using Copilot Studio to drive automation, with guided exercises and interactive demos to explore how these agents can enhance real-time business workflows. You'll gain a deep understanding of how to configure intelligent actions, how Copilot boosts productivity, and how to scale AI solutions using the 5P Framework (Purpose, Pilot, Playbook, Production, Performance). Towards the end of the session, we will demo AI Foundry, highlighting its role in AI agent deployment and orchestration.
By the end of the workshop, you’ll be equipped with the knowledge to drive AI adoption across your enterprise, with a focus on security, governance, and responsible AI practices.
Key Takeaways:
- Hands-on experience building and deploying AI agents using Copilot Studio and Microsoft AI Foundry
- Configuring and orchestrating intelligent actions across the Microsoft platform for seamless automation
- Insights into how Copilot can enhance productivity and support real-time automation (discussion-based, not a demo)
- Mastering the 5P Framework (Purpose, Pilot, Playbook, Production, Performance) to scale AI agent adoption across enterprise environments
- Best practices for responsible AI implementation within the Microsoft platform
- How Copilot can optimize business workflows, driving smarter automation and efficient decision-making
- AI Foundry demo towards the end, showing real-world deployment and orchestration
Ideal for:
- Developers and engineers eager to build AI agents
- IT professionals and business leaders focused on automation and scaling AI solutions
- Anyone looking to harness the power of Copilot Studio, AI Foundry, and the Microsoft platform to drive enterprise-wide productivity and innovation
Join us to transform your understanding of AI automation and discover how Copilot Studio, the Microsoft platform, and AI Foundry can enhance real-time business workflows. This workshop will equip you with the expertise to design, deploy, and scale AI agents that are secure, efficient, and optimized for the future of intelligent business operations.
Everyone is building “AI agents” — but most of these architectures will collapse under real scale, cost, and security pressure. In this session, we cut through the hype, show where today’s popular patterns (including MCP-style designs) break in production, and walk through concrete principles to design agent systems that are scalable, observable, and genuinely future-ready.
2:05 PM to 2:50 PMHP LAB
Extend Microsoft 365 Copilot with Declarative Agents
In the Extend Path, build a secure, fully skilled declarative assistant for HR, starting from fundamentals to advanced capabilities, with Microsoft 365 authentication to access organizational data.
2:50 PM to 3:35 PMMain Room
Microsoft AI Under the Radar: Spot It, Assess It, & Regain Control
Microsoft AI products, features, and capabilities are infiltrating enterprises through Copilot standalone experiences, integrations across collaboration and admin tools, Copilot agents, and a wealth of developer capabilities. Each week, new AI-powered features roll out to your tenant—some of which may already be in use.
This session provides a complete picture of Microsoft AI’s availability and potential presence in your organization and highlights the ABC's of security, compliance, and governance. Learn how to identify blind spots, mitigate risks, and implement a governance strategy that ensures secure adoption while aligning with enterprise requirements.
You’ll walk away with a practical toolkit for managing AI adoption safely, along with real-world.
2:50 PM to 3:35 PMHP LAB
Real-World Guardrails: Making Generative AI Work in Production
Generative AI models are powerful, but fragile when dropped into real-world systems. In this session, Sujata Sridharan and Vrinda Bhatia walk through practical strategies for building LLM-powered features that scale beyond the prototype. Using case examples, they’ll cover context management, schema enforcement, evaluation harnesses, and bias mitigation. Live demos will show how small design decisions can mean the difference between hallucinations and reliable outputs. Attendees will leave with an actionable checklist and starter templates for deploying LLM features with confidence in enterprise settings.
4:00 PM to 4:45 PMHP LAB
Trust but Verify: A Beginner’s Guide to Model Evaluation in Microsoft AI
AI models are powerful, but without proper evaluations we don’t know if they’re accurate, safe, or fair. In this session, we’ll break down the basics of model evaluations - what they are, why they matter, and how Microsoft’s latest Azure tools like AI Foundry, OpenAI Evaluation, and Responsible AI Toolbox make the process easier. You’ll learn how to measure quality beyond accuracy, monitor models over time, and build AI systems that people can actually trust. No advanced technical background required, just curiosity and a willingness to explore how AI really works behind the scenes.
Takeaways
>> Understand the role of evaluations in building trustworthy AI.
>> Explore Microsoft’s tools for testing models: AI Foundry, OpenAI Evaluation, and Responsible AI Toolbox.
>> Learn to measure accuracy alongside safety, fairness, and reliability.
>> See how evaluations move from one-time tests to continuous monitoring.
8:30 AM to 9:00 AMMain Room
Registration
9:00 AM to 9:30 AMMain Room
Civic Agents: The Rise Of AI In Modern Public Service
Governments are starting to use AI agents to improve how services are delivered—from permits and public works to citizen support. These “Civic Agents” are helping staff work more efficiently and making public services easier to access.
In this session, we’ll look at real examples from local governments already using AI, and share a simple 5-step framework (Purpose, Pilot, Playbook, Production, Performance) for scaling these solutions. Whether you're in tech or public service, you’ll walk away with practical ideas to start or grow your AI journey.
9:00 AM to 9:30 AMHP LAB
From Files to Intelligence: Designing the Knowledge Layer for AI Agents
AI agents depend on a well‑structured knowledge layer and building it takes more than theory.
This session dives into the technical foundations that make enterprise content usable for AI‑driven experiences. We’ll examine how knowledge is stored and accessed across SharePoint sites, OneDrive, and SharePoint Embedded containers, and what that means for authentication, permissions, compliance, performance, and scale.
You’ll learn practical patterns for content structuring, metadata design, and retrieval optimization. We’ll also cover best practices for integrating these sources into Copilot Studio, including how agents ground answers, respect security trimming, and orchestrate workflows. Through demos, we’ll showcase SharePoint Embedded containers in real implementations and highlight tuning and governance strategies you can apply immediately.
Who should attend: Developers, architects, and ISVs building secure, scalable AI‑native solutions with Microsoft 365 content services.
9:30 AM to 10:05 AMMain Room
Intelligent Copilots Start Here: Building AI with Azure ML
You'll learn how Azure Machine Learning can be used to develop generative AI models — and how Copilot Studio can consume those models through APIs to deliver tailored, conversational experiences. We'll cover the integration patterns that allow Azure ML endpoints to be called directly from Copilot Studio topics or Power Platform applications, giving your copilots real intelligence grounded in your data and business logic.
10:10 AM to 10:45 AMMain Room
Building Trustworthy AI: Ensuring Responsible AI with Content Safety Services and Azure Foundry
AI is shaping our future faster than ever — but with great power comes even greater responsibility. In this session, let's explore how we can build AI that's not just smart, but safe, responsible, and truly trustworthy.
We'll dive into Microsoft's Content Safety Services — tools that help spot and manage harmful content like hate speech, violence, and self-harm across text and images. I’ll show you how these services can be easily integrated into your applications, helping you create AI experiences that people can genuinely rely on.
We’ll also explore Azure AI Foundry, a powerful platform designed to help you customize foundation models safely. You'll learn:
How Foundry helps with grounded generation and responsible model tuning.
How you can test, evaluate, and deploy AI models with safety built-in — not as an afterthought.
Best practices for bringing transparency, fairness, and governance into your AI journey.
By the end of this session, you'll walk away with practical ways to:
Add Content Safety APIs into your AI workflows.
Leverage Azure Foundry for responsible model development.
Build AI solutions that are ready not just for today's users, but for tomorrow's expectations.
10:50 AM to 11:25 AMMain Room
From Boston to Dubai - AI-Driven Operational Efficiency in Healthcare
Two global healthcare innovation powerhouses are leading the AI transformation in medicine. Boston, with its concentration of world-class teaching hospitals and innovation accelerators like MassChallenge HealthTech, and Dubai, home to Dubai Healthcare City, the Dhs10 million Center for Innovation and Technology, and ambitious initiatives positioning the UAE as a premier healthcare hub under Vision 2031.
While their paths differ, both cities share a common challenge - translating AI potential into measurable operational improvements. In this session, Paul Swider, Chief AI Officer at RealActivity and leader of Boston's Healthcare Cloud and AI Community, facilitates a collaborative exploration of AI-driven operational efficiency.
This is not a one-way knowledge transfer, it's a dialogue between two innovation ecosystems addressing universal healthcare challenges with complementary strengths.
11:25 AM to 12:15 PMMain Room
Panel : AI in Healthcare: Innovation, Ethics, and Impact
AI is transforming healthcare from diagnostics and drug discovery to patient engagement and hospital operations. But with innovation comes complexity: ethical concerns, data privacy, and clinical validation are just a few of the hurdles startups and healthcare providers face.
This panel brings together experts from across the healthcare and AI spectrum to discuss how startups and institutions can responsibly and effectively deploy AI. Learn from real-world case studies, explore the latest tools and platforms, and understand the regulatory landscape shaping the future of AI in healthcare.
Key Takeaways:
How AI is improving patient outcomes and operational efficiency
Tools and platforms for healthcare AI development
Navigating data privacy and compliance (e.g., HIPAA, GDPR)
Addressing bias and ensuring fairness in medical AI
Opportunities for startups in the healthcare AI space
Ideal for:
Medtech founders, clinicians, researchers, hospital administrators, and anyone interested in the intersection of AI and healthcare.
12:15 PM to 12:45 PMMain Room
Lunch/Networking
1:00 PM to 1:35 PMMain Room
Open source LLMs for secure AI business applications
Things are getting hot and heavy for AI, now that Microsoft (AI) Foundry is doing its sinister business. Forging devilish bots, torturing text and extracting diabolical knowledge, generating demonic cat images, or simply using someone else's not-so-malicious models (and then also the zero-humped Llama from a certain malevolent social network), and so much more villainy...
Disclaimer: Doctor Evil will now control your life and
║ The generated content was filtered due to triggering
║ Azure AI Content Safety filtering system.
║ Reason: This response contains content flagged as Malignant (very high).
AI is revolutionising how we work but with great innovation comes new security challenges. In this session, discover how to build trustworthy, secure, and compliant AI environments using Microsoft Azure. From safeguarding data and protecting AI models to ensuring responsible use and governance, we’ll explore the foundations of security-first innovation. Whether you’re a business leader shaping AI strategy or a technologist deploying AI solutions, you’ll gain clear, actionable insights to secure your organisation’s AI journey with confidence.
2:30 PM to 3:15 PMHP LAB
AI in Action: Process Automation with Power Automate and Azure OpenAI
Discover how Large Language Models (LLMs) can expand the range of tasks you can automate using Power Automate, from triaging emails to processing unstructured data and generating content on demand.
In this practical session, you will learn what AI Builder is, where it works well, and why it can be limiting in cost, flexibility, and control. We will compare it to Azure OpenAI, showing how calling GPT models via APIs gives you more transparency, better results, and often much lower costs, while giving you full control over how your AI works.
You will also learn the basics of prompt engineering, including proven techniques for getting more reliable and accurate outputs.
We will wrap up with live demos of real-world use cases such as email triage, text classification, and AI-driven content creation, so you leave with ideas you can start applying right away.
2:55 PM to 3:30 PMMain Room
Designing Intelligent Coaching Experiences with Azure AI Foundry Agents
In this session you will learn how to build a fully functional AI-driven coaching application using Azure AI Foundry’s latest capabilities. We will present an end-to-end architecture based on Microsoft Agent Framework (public preview) — a unified, enterprise-grade SDK and runtime that consolidates strengths of previous frameworks (e.g. AutoGen and Semantic Kernel) and enables both multi-agent orchestration and structured, long-running workflows.
The demo will showcase:
- Voice-enabled, expressive agents built with Azure AI Speech, including photorealistic avatars
- Integration with Azure OpenAI Service to power natural-language reasoning and generation under the hood.
- Advanced monitoring, evaluation and observability capabilities powered by Built-in “Tracing, Evaluation and Monitoring” (AgentOps) features — enabling transparent evaluation of agent behavior (intent resolution, tool-call accuracy, task adherence, etc.) and full traceability of agent workflows in production.
This provides a practical blueprint for delivering a secure, scalable, human-like coaching experience — from prototype to production — with enterprise-grade quality, governance, and observability baked in.
To encourage live participation, small tokens of appreciation will be offered for the best questions during Q&A.
3:30 PM to 4:00 PMMain Room
Accelerating Enterprise Agility Using AI, Copilot, and Dynamics 365 F&O
The ERP landscape is evolving—and AI is at the heart of this transformation.
With Microsoft Dynamics 365 Finance & Operations, organizations are moving beyond traditional automation and embracing a new era of intelligent, predictive, and autonomous operations.
💡 What’s changing?
AI-powered forecasting that boosts financial accuracy
Predictive insights that prevent supply chain disruptions
Intelligent automation that frees teams from repetitive tasks
Embedded Copilot experiences accelerating decision-making
AI Agents orchestrating end-to-end business processes
This event took place on 10–11 December 2025. Thank you to everyone who came, spoke, sponsored and volunteered.
320
people came to learn
26
speakers took the stage
28
sessions on the agenda
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