The Largest Microsoft Integration Tech Conference

Topic: Azure API Management for AI Workloads: Building the Enterprise AI Control Plane

Description: AI adoption is scaling fast, but most organizations are flying blind on token costs, security, and reliability. This session shows how Azure API Management serves as the central control plane for all AI traffic, from securing access and enforcing token budgets to load balancing across OpenAI Provisioned Throughput Units (PTU) and Pay-as-you-go (PAYG) backends, measuring consumption for cross-charging, and extending governance to agentic workloads via the Model Context Protocol. Drawing on real architecture work at a Dutch health insurer, this session walks through seven production-ready patterns with policy XML, diagrams, and live demonstrations.

Topic: From Clicks to Code: Reimagining Dataverse with Coding Agents

Description: Think Dataverse is all about low code click ops? Think again. In this session Kent is going to explore the new Dataverse plugin for coding agents that enables developers to build solutions using your favorite coding agents like GitHub Copilot or Claude Code. We will also discuss how we can plug agent surfaces into Microsoft Dataverse using our new MCP Server offering.

Topic: CTRL + ALT + DELIVER - AI in the integration toolkit

Description: AI won’t replace integration consultants (at least for now), but is quietly becoming part of our daily toolbox as integration consultants. From generating mappings and scripts to analyzing logs and accelerating problem resolution, AI is reshaping how we work. In this session, we’ll share practical insights on how AI fits into real integration projects, how it changes our workflows, and how consultants (developers) can use it responsibly and effectively to deliver better solutions—faster.

Topic: Bridging SAP and AI Agents with Logic Apps and MCP

Description: The Model Context Protocol (MCP) is revolutionizing how AI agents interact with enterprise data. This session demonstrates how to transform Azure Logic Apps into a custom MCP server to expose SAP integration workflows as AI-ready tools.

We will cover the essential configuration steps, including enabling and securing the MCP endpoint. Through a practical demonstration, you’ll see how an AI agent can interpret natural language to trigger SAP sales orders and read business partner data via a Logic App proxy. Learn how to leverage your existing integration investments to build a seamless bridge between LLMs and your ERP system.

Key Takeaways:

• MCP Adoption: Utilizing the Model Context Protocol to standardize how AI agents access enterprise data.
• Logic Apps as Middleware:Logic Apps as Middleware: Repurposing Azure Logic Apps to act as a secure, custom MCP server.
• AI-Ready SAP Tools:AI-Ready SAP Tools: Transforming existing SAP integration workflows into tools that LLMs can understand and trigger.
• Natural Language ERP Ops: Enabling agents to execute Sales Orders and fetch Business Partner data via conversational prompts.
• Legacy Value: Leveraging existing integration investments to bridge the gap between modern AI and "brownfield" ERP systems.

Topic: 7 Learnings from running customer service AI agents at scale

Topic: Scoping BizTalk migration without the guesswork

Description: "Every BizTalk migration project lives or dies in the scoping phase. Get it right and the project ships on time and on budget. Get it wrong miss a dependency, underestimate the maps, misread the integration patterns and you spend the next 18 months (Sometimes more) explaining why the estimate keeps moving. Scoping is the riskiest, most political, and most expensive phase of the whole programme, and it's the one we've historically done with spreadsheets, gut feel, and a lot of hope.

In this session, Ahmed shares what he's learned applying AI to BizTalk migration scoping in real engagements. Not by replacing the architect, but by giving them superpowers: parsing hundreds of ports and maps in minutes, classifying integration patterns at scale, surfacing the dependencies that humans always miss, and producing a defensible target architecture and effort estimate that the customer and the delivery team can actually trust.

The session focuses on the approach, the patterns that work, and the ones that don't. We'll look at where AI shines, where it still needs the human in the loop, and how to structure an AI-assisted scoping engagement that holds up under scrutiny. You'll leave with a practical mental model for scoping your next BizTalk migration with more confidence, less guesswork, and a far shorter path from "we should modernise" to "here's the plan"

Topic: Azure Container Apps Express: First Sight

Description: What if building and deploying cloud-native applications on Azure could feel as simple as running a local app?

In this session, we take a first look at Azure Container Apps Express and the emerging sandbox model in Azure Container Apps. We’ll explore how Express simplifies the way developers build, run, and deploy containerized applications on Azure, reducing friction between local development and cloud deployment.

We’ll also look at how sandboxes extend the story by providing isolated, programmable, and stateful compute environments for scenarios such as AI code execution, agent workflows and interactive sessions.

Together, these capabilities show how Azure Container Apps is evolving beyond simply running containers, offering more focused compute experiences for modern cloud-native and AI-driven applications.

Topic: How ethical is your agentic AI integration platform (and how would you even know)?

Topic: What does Best Practice DevOps look like for Azure Integration

Topic: Integration in the Age of AI

Description: AI is changing how we design enterprise integration. In this architecture-focused session, we’ll explore how Azure Integration Services can work with AI capabilities such as Logic Apps Agent Loops, MCP, API Management, API Center, Microsoft Foundry, and human-in-the-loop controls. The focus is on practical patterns, governance, and design decisions for building secure, reliable, and AI-enabled integration workflows on Azure.

Topic: What’s New and What's Next in Azure Logic Apps

Description: Explore what’s new and what’s next in Azure Logic Apps. Get an overview of the latest innovations shaping the platform, from AI-native automation and agent-powered workflows to modern, code-first developer experiences. You’ll also get a look at upcoming investments that are redefining how enterprises build, run, and evolve intelligent integration solutions. Learn how these capabilities help simplify workflows across apps, data, and AI agents, while improving reliability, reducing operational overhead, and accelerating delivery.

Topic: Azure Service Bus: What’s New and What’s Next

Description: Get the latest updates on Azure Service Bus, including recent releases and upcoming roadmap. Learn how new capabilities improve reliability, scalability, and developer productivity for messaging workloads. This session highlights key scenarios, design patterns, and what to expect next to keep your integration architecture future-ready.

Topic: Keynote

Topic: Governing Models, Tools, and Agents with Azure API Management

Description: AI workloads combine models, tools, and agents across providers making governance harder than traditional APIs. In this session, learn how AI gateway capabilities in Azure API Management help you expose endpoints, route requests, and enforce policies for safety, cost, and observability. Through demos, see how to move from a single AI call to a production-ready setup with control, guardrails, and telemetry built in.

Topic: Azure Event Hubs: Latest Enhancements and Roadmap

Description: Stay up to date with Azure Event Hubs. This session covers recent innovations and upcoming roadmap across performance, scalability, and integration with analytics and AI. Learn how to build high-throughput ingestion pipelines and support real-time applications with confidence at scale.

Topic: From Events to Insights: Real-Time Processing with Fabric

Description: Real-time insights are critical for modern applications. Learn how Fabric Streaming enables ingestion, processing, and analytics of streaming data at scale. This session covers patterns for operational intelligence and real-time decision making using integrated data pipelines and analytics capabilities.

Topic: Bringing all your Integration Workloads to Azure Logic Apps

Description: With Microsoft BizTalk Server approaching end of life, organizations need a clear, low-risk path to modernization. This session walks through the latest Microsoft migration tooling for assessing, converting, and moving BizTalk and other legacy integration workloads, to Azure Logic Apps. Learn how to analyze workloads, automate conversion of maps and orchestrations, and adopt phased migration patterns. See how teams combine proven tools with AI-assisted guidance to accelerate delivery while improving scalability, observability, and cloud readiness.

Topic: Integration in an AI world

Description: As AI agents become first‑class consumers of APIs, integration is no longer plumbing — it’s the execution layer of intelligent systems. In this session, we explore how AI is reshaping the way integrations are designed, built, and governed, and why traditional approaches break down when code is generated, orchestrated, and debugged by machines.

You’ll learn what “agent‑ready” APIs really require, how AI accelerates integration while introducing new risks, and how Microsoft’s integration and AI stack can help teams build reliable, observable, and governable workflows in an AI‑generated world.

Expect practical insights, a fast‑paced demo, and a clear roadmap for preparing your APIs and integration landscape for the agentic era.

Topic: Why Azure Logic Apps are Better for Integration Workloads

Description: My Talk will detail how features of Azure Logic Apps make them the best choice for Integration workloads. As we all know, integration workload tends to be the most volatile because we typically control only the source or the destination, not both. We will look at the Design, Development, Deployment, and Support aspects of Azure Logic Apps and Azure Functions to determine how they fit with integration workload.

Topic: Common BizTalk to Azure Problems and how to fix them

Description: Transform errors, encoding issues, connector surprises, deployment challenges, and missing “BizTalk magic” are common during migrations. This problem‑solution‑focused session breaks down the most frequent issues teams encounter when moving to Azure Integration Services. Each problem is paired with practical solutions and best practices you can apply immediately.

Topic: What Went Wrong? (And Why You Can't Tell): Exception Handling and Logging in AIS

Description: It's 3am. Production is down. Your Logic App ran 47,000 times overnight, something failed, and you have no idea which run, why, or what on earth to do about it. Welcome to the dark side of integration development, the side that doesn't make it into the demo videos.

In this hands-on, deliberately AI-free session, we'll dig into the deeply unglamorous (but career-saving) world of exception handling and fault logging in Azure Logic Apps and Azure Functions. We'll walk through proven patterns: checkpoints, structured fault messages, and friends - and you'll see real before-and-after demos of the same system being debugged in production with and without good practices in place. Spoiler: the difference is the kind of thing that gets people promoted.

Along the way we'll cover what good logging actually looks like, what useless logging looks like (which, let's be honest, is most of it), and how to design systems that tell you exactly what broke, where, and why, ideally before your boss has to ask.

No hype. No AI hand-waving. Just battle-tested tips and tricks you can take away and apply to your own code and designs. Because every integration breaks eventually — the only question is whether you'll know about it.

Topic: Who Owns the Architecture When AI Writes the Code?

Description: Security, Governance, and Lifecycle Management in the Age of AI-Assisted Development.

AI-assisted development is accelerating integration delivery — but also increasing the risk of misconfigurations, security drift, undocumented dependencies, and lifecycle chaos.

As developers collaborate more with AI, traditional review and governance processes struggle to keep up. Small mistakes can rapidly scale across cloud and integration platforms, while operational ownership and architectural visibility become harder to maintain.

This session explores why visibility, continuous governance, and lifecycle management are becoming increasingly important in AI-driven engineering environments. Through real-world integration and Azure examples, we’ll look at emerging risks, common failure patterns, and strategies organizations are starting to adopt to regain insight and control as more of the development process becomes AI-assisted.

Topic: Unlock big savings by migrating MuleSoft to Azure

Topic: The last integration developer

Topic: Designing Resilient Integrations with Azure Logic Apps

Description: Integration solutions fail not because workflows are complex, but because real-world systems are unpredictable. This session focuses on designing Logic Apps that are resilient by default.

We’ll discuss defensive design techniques, error handling strategies, and how to avoid common pitfalls in enterprise integrations. We’ll also explore how to combine secure exposure via API Management and EasyAuth with automated testing to ensure integrations remain stable across deployments.

If you’re responsible for production workloads built on Logic Apps, this session will provide practical architectural guidance for building solutions that withstand change, load, and failure.

Topic: Azure Integration Services Development with GitHub Copilot

Topic: Whats new in Turbo360 for AIS customers

Topic: Managing AI Token Costs with Azure API Management

Description: AI workloads introduce new cost challenges driven by token usage and model variability. Learn how to use Azure API Management to monitor, control, and optimize token consumption across models and applications. This session covers rate limiting, quotas, usage tracking, and cost governance patterns. See how to implement AI FinOps practices that keep innovation moving without losing cost control.

Topic: Networking in Azure Messaging: Secure and Connect at Scale

Description: Networking requirements are becoming more complex for messaging workloads. Learn how Azure Messaging services support secure connectivity using private endpoints, network isolation, and advanced routing. This session walks through best practices to design secure, compliant messaging architectures across hybrid and cloud environments.

Topic: Event-Driven Apps with Azure Functions, Connector Namespace, and MCP

Description: What sounds like a simple integration - monitor a folder, process with an LLM, notify a team - often can quickly turn into complex plumbing.

In this session, we introduce Connector Namespace, a managed service that simplifies integrations through pre-built connectors with unified authentication, triggers, and connection management.

Learn how using it with Azure Functions integration gives you instant access to 1,400+ connectors while keeping your code focused on business logic.

We’ll also explore how Connector Namespaces fully manages remote MCP hosting, enabling you to deploy MCP servers in minutes and expose them as tools to Copilot, agents, and MCP clients. All without worrying about infrastructure, dependencies, and auth.

Topic: API Center - Your enterprise catalog for AI assets and APIs

Description: The hardest part of building with AI isn't creating agents and skills — it's finding the ones that already exist, knowing which ones to trust, and plugging them in without friction. Azure API Center's new self-service portal puts every API, MCP server, agent, and skill across your organization at your fingertips. In this session, see how developers can discover, evaluate, and consume AI assets in minutes — with AI Skill Assessment surfacing quality scores on documentation, helpfulness, and safe usage so you adopt with confidence. And with the plugin marketplace, installing an MCP server or skill into Claude Code or GitHub Copilot CLI takes just two commands. Stop rebuilding what already exists. Start shipping faster with the AI assets your organization has already built and vetted.

What you'll leave with:

• A self-service discovery experience for APIs, agents, skills, and MCP servers
• Confidence signals through AI Skill Assessment so you consume the right assets
• A two-command path from discovery to installation in your favorite AI tools

Topic: What’s New in Azure Event Grid: Scalable, Flexible, and IoT-Ready

Description: Discover the latest innovations in Azure Event Grid, designed for scalable, flexible, and IoT-ready applications. Learn how MQTT v5 compliance, autoscale, IPv6 support, and large message handling enable high-scale, reliable messaging. Explore enhanced authentication and simplified onboarding for secure device connectivity. See how these capabilities power modern event-driven architectures from edge to cloud.

Topic: Build Your Own Agent Platform in Minutes: Azure Container Apps Sandboxes for Multi-Tenant, AI-Native Workloads

Description: Your competitors are shipping multi-tenant AI platforms in weeks - isolated tenant environments that suspend when idle, resume instantly, and scale to thousands. Meanwhile, your team is stitching together containers, orchestrators, and custom isolation layers just to safely run one customer's Integration workload next to another's.

This session introduces Azure Container Apps Sandboxes - a new compute primitive for platform builders. I'll show how Sandboxes deliver microVM environments with sub-second startup, snapshot-based suspend/resume, and scale-to-zero economics as a first-class Azure resource. You'll see how to build a multi-tenant platform with native Azure networking, Entra ID, and enterprise compliance built in - on the same foundation that powers GitHub and Microsoft Foundry. No proprietary SDKs, no months of infrastructure work.

Topic: Introducing Logic Apps Automation for Agentic Business Process Automation

Description: Automation is being reinvented. What began as scripts and scheduled jobs evolved into low-code workflows — and is now entering a new era where business processes are not just automated, but orchestrated, adaptive, and increasingly powered by AI agents.

Introducing Logic Apps Automation, a new SKU purpose-built for agentic business process automation. Designed for developers and builders, it combines a standalone, low-friction experience with the power and scale of the Logic Apps engine — bringing workflows, applications, APIs, and AI agents together in a unified platform for modern automation.

Join us to explore the shift toward agentic business processes, what’s new in Logic Apps Automation, and how organizations can build AI-driven automation with enterprise-grade orchestration, integration, and governance built in from day one.