Responsible AI for Business Central ISVs: Privacy, Trust, and Governance by Design

AI features are becoming a competitive requirement for Business Central ISVs, but adding AI to business applications also introduces new responsibilities. Customers will increasingly ask how their data is used, where decisions come from, who remains in control, and how AI behavior can be explained or audited.

This session provides a practical responsible AI framework for ISVs and partners building AI-enhanced Business Central extensions, integrations, or companion applications. We will cover core design principles such as data minimization, user consent, human oversight, logging, role-based access, explainability, and safe fallback behavior.

The focus is not legal theory, but implementation-oriented governance. Attendees will learn which questions to ask before building AI features, how to document design decisions, how to identify risk areas early, and how to communicate AI capabilities transparently to customers. The session helps partners build AI solutions that are not only innovative, but also trustworthy and enterprise-ready.

From Business Central to Agentic AI: Designing Secure AI Assistants for SMB Processes

Business Central partners are increasingly asked how AI can support sales, finance, service, operations, and customer communication without creating security, privacy, or governance risks. This session shows how to design practical AI assistants around Business Central processes using Azure, Microsoft 365, and responsible architecture principles.

We will walk through a reference architecture for agentic AI in an SMB context: how to connect business data safely, how to separate user intent from system actions, how to design approval workflows, how to avoid uncontrolled automation, and how to prepare customers for AI-assisted processes without losing trust or compliance.

The session is aimed at partners who want to move beyond “AI demos” and start designing real, customer-ready AI scenarios. Attendees will leave with architectural patterns, decision points, anti-patterns, and a pragmatic checklist for building secure, explainable, and useful AI assistants around Business Central ecosystems.

Building an AI-Ready Azure Architecture for Business Central Partner Solutions

AI-enabled partner solutions require more than a prompt and an API call. They need secure identity, reliable integration, data boundaries, observability, cost control, and a clear operating model. This technical deep dive shows how to design an AI-ready Azure architecture for Business Central partner solutions.

We will explore a practical architecture blueprint covering identity and access, API boundaries, data ingestion, event-driven integration, retrieval-augmented generation patterns, audit logging, monitoring, deployment, and operational safeguards. The session also discusses common failure modes: exposing too much data, mixing customer tenants, missing approval flows, weak prompt boundaries, and unmonitored AI costs.

Attendees should already understand cloud architecture basics and want a deeper view of how AI capabilities can be integrated responsibly into Business Central-adjacent solutions. The goal is to give developers and architects a reusable mental model for building secure, scalable, and maintainable AI-enabled solutions in the Microsoft ecosystem.

AI Readiness for Business Central Partners: From Hype to Customer-Ready Offerings

Many SMB customers are interested in AI, but they often struggle to identify where AI creates measurable business value and where it creates unnecessary complexity or risk. This session helps Business Central partners turn AI conversations into structured, customer-ready offerings.

We will explore how partners can assess AI readiness, identify high-value use cases, define responsible adoption paths, and position AI services without overpromising. The session connects business strategy with practical architecture: data quality, process ownership, privacy, user adoption, governance, and change management.

Attendees will learn how to build an AI opportunity framework for Business Central customers, how to qualify use cases, how to separate automation from augmentation, and how to create offerings that are realistic, trustworthy, and repeatable. The goal is to help partners move from AI hype to sustainable services that customers can understand, buy, and adopt.

The Next Web Will Be Trustworthy: Building Human-Centered AI Platforms in the Age of Agents

AI is changing the web again. We are moving from static websites and social feeds to AI-augmented digital ecosystems where agents understand context, support decisions, interact with services, and shape user experiences in real time.

But the defining question of this next web is not only what AI can do. It is who we trust, which data we share, who stays in control, and how digital platforms must be designed when intelligent systems become part of everyday interaction.

In this keynote-style session, Christian Alexander Schreiber uses nVibes as a real-world scenario to explore how human-centered AI platforms can be built with trust, privacy, sovereignty, and security at their core. Instead of presenting Azure as the main story, the talk shows how cloud architecture, identity, responsible AI, data boundaries, and platform design come together to enable trustworthy digital ecosystems.

Attendees will leave with a strategic mental model for the age of agents: AI should augment people, not replace their agency; platforms should earn trust, not demand it; and architecture must protect human control, privacy, and digital sovereignty from the beginning.

Azure Architecture for Responsible AI: Building nVibes as a Sovereign Social Platform

nVibes is a real-world case study for building a modern, AI-enabled social platform on Azure with sovereignty, privacy, and security at its core.

In this session, Christian Alexander Schreiber, CEO & Founder and Lead Architect of nVibes, walks through the architectural decisions behind a production-adjacent Azure platform: Cloudflare Edge in front of Azure, Azure Standard Load Balancer, Frontend VM Scale Set, dedicated API and database tiers, a private AI VM, Azure Private DNS, Network Security Groups, Managed Identity, and a self-hosted LLM approach.

The talk focuses on one central question: how can we integrate responsible AI into a digital platform without giving models direct access to databases, secrets, internal services, or uncontrolled user data?

Attendees will learn how nVibes separates frontend, API, database, and AI runtime responsibilities; how private networking and controlled backend authorization reduce risk; and how MVP infrastructure can evolve toward hardened, reproducible, least-privilege cloud architecture.

This is not a theoretical cloud diagram session. It is a practical architecture story about building, securing, and scaling a real platform where Azure, AI, privacy, and European digital sovereignty must work together.

Beyond Likes and Logins: Building Real-World Trust into a Next-Generation Social Platform

This session takes the audience behind the scenes of nVibes, a next-generation social platform designed around real-world trust, privacy and responsible digital interaction.

Instead of treating every follow, like or connection as equal, nVibes explores how verified real-world encounters can become a stronger foundation for digital relationships. Using the MeetNow architecture as a concrete example, we will look at how QR-based interaction, short-lived sessions, geo-consent, server-side distance validation, device context and privacy-by-design can work together to create a “Real Friend” trust signal without turning the system into a tracking machine.

The talk also discusses the next architectural step: ephemeral trust exchange patterns, why secrets should not live inside QR payloads, how public material can be fetched safely through APIs and why standard cryptographic primitives and external review matter when designing security-sensitive social features.

Attendees will leave with practical architecture patterns for building trust-centric features, handling privacy and security trade-offs, and designing modern social platforms that are more human-centered, sovereign and resilient.

Converse with your dataverse data: Retrieving Data with Natural Language and Power Platform CoPilot

Join me for a 100% hands-on session that will enable you to harness the potential of Natural Language and Power Platform CoPilot to build powerful applications and streamline your business processes. I will walk you through creating an application, developing a flow with Power Automate and CoPilot, and seamlessly retrieving data in Dataverse using only Natural Language and CoPilot.

Key Highlights:

I'll begin by introducing you to the Power Platform CoPilot, demonstrating its capabilities and potential to simplify your interactions with data in the Dataverse.
Learn how to quickly build an application using CoPilot, making it easier than ever to develop user-friendly interfaces that increase your productivity.
Discover the power of automation as we walk you through the process of creating a flow using Power Automate and CoPilot. See how you can automate tasks and integrate different processes effortlessly.
Experience the magic of retrieving data in Dataverse using natural language commands and CoPilot. I'll share real-world scenarios and demonstrate how CoPilot can save you time and effort.

I'll leave time for your questions, so you'll leave with a clear understanding of how to use these tools effectively.

Expert Circle: Expertenrunde zum Thema MS CoPilot

Efficient Software Delivery: Power Platform loves Azure DevOps

If you are involved in building Power Apps and automation flows, you need to deliver software faster, more reliably, and with higher quality by integrating development, testing, and operations into a seamless process. You also need to ensure that the software development lifecycle is fully managed, from planning to deployment and maintenance.

In my session, I will set up an entire Azure DevOps project and cover how to export your Power Platform Apps, Flows, and Connectors from a development environment to test and production environments using pipelines, triggers, CI/CD, Microsoft Teams approvals, and release management.

You will have the opportunity to work on real-world scenarios and apply the concepts to your own projects. By the end of the session, you will have a solid understanding of how to implement agile development using the Power Platform and Azure DevOps, and you will be able to start applying these practices in your organization.

Building a Power Virtual Agent with CoPilot: Empowering Automation

Join us in this session as we embark on a journey to create a powerful Power Platform Virtual Agent using the groundbreaking capabilities of CoPilot. Discover how to leverage CoPilot's AI assistance to build an intelligent and interactive virtual agent that operates within Microsoft Teams.

We will dive into the seamless integration between the PVA and Power Automate. Explore how you can trigger Power Automate flows directly from the virtual agent, enabling streamlined automation and effortless data retrieval.

Through hands-on demonstrations, I will guide you in constructing a PVA that interacts with users, understands their inquiries, and effectively executes flows to fetch data.

By leveraging Co-Pilot's intelligent suggestions and coding assistance, you will gain valuable insights into how to optimize the development process and accelerate the deployment of your Power Platform Virtual Agent. Learn how to harness the power of AI to enhance automation, improve customer experiences, and drive productivity within your organization.

Efficient Software Delivery: Power Platform, Azure DevOps, and Business Central Integration

If you are involved in building Power Apps and automation flows for Business Central, you need to deliver software faster, more reliably, and with higher quality by integrating development, testing, and operations into a seamless process. You also need to ensure that the software development lifecycle is fully managed, from planning to deployment and maintenance.

In my session, I will set up an entire Azure DevOps project and cover how to export your Business Central Power Platform Apps, Flows, and Connectors from a development environment to test and production environments using pipelines, triggers, CI/CD, Microsoft Teams approvals, and release management.

You will have the opportunity to work on real-world scenarios and apply the concepts to your own projects. By the end of the session, you will have a solid understanding of how to implement agile development for Dynamics 365 BC using the Power Platform and Azure DevOps, and you will be able to start applying these practices in your organization.

CoPilot in Power Platform: Revolutionizing Application & Flow Development for Business Central

In this session, we will explore the exciting potential of CoPilot in the context of building Power Apps and flows for Business Central. Co-Pilot, an AI-powered coding assistant, has revolutionized the development process by providing intelligent suggestions, generating code snippets, and offering valuable insights.

Join us as we delve into how CoPilot can streamline your development. I will demonstrate how AI can assist you in writing code more efficiently, reducing errors, and accelerating the overall development cycle. Discover how CoPilot's contextual understanding and code generation capabilities can enhance your productivity and help you build robust solutions.

Gain insights into the evolving role of AI and how it can contribute to creating smarter, more intelligent Power Apps and flows.

Building a Solid Foundation: Governance and Compliance in Power Platform & Business Central

In this session, we will dive into the crucial aspects of Data Loss Prevention, Governance, and Power Platform Environment Management for Apps built for Dynamics 365 Business Central.
As organizations increasingly rely on the Power Platform to build and deploy apps, it becomes essential to implement effective measures to prevent data loss, ensure proper governance, and manage Power Platform environments efficiently.
During this session, we will explore best practices and practical strategies to safeguard your data and maintain control over your Power Platform ecosystem.

I will discuss the importance of establishing data loss prevention policies, implementing governance frameworks, and leveraging the power of Power Platform Environment Management to streamline app development and deployment processes.

You will gain insights into how to protect sensitive information, establish role-based access controls, and enforce data compliance regulations within your Power Apps for Dynamics 365 Business Central. Additionally, we will explore various techniques and tools for managing Power Platform environments, enabling you to create, configure, and administer environments effectively.

Building a Power Virtual Agent with CoPilot: Empowering Automation with BC integration

Join us in this session as we embark on a journey to create a powerful Power Platform Virtual Agent using the groundbreaking capabilities of CoPilot. Discover how to leverage CoPilot's AI assistance to build an intelligent and interactive virtual agent that operates within Microsoft Teams.

We will dive into the seamless integration between the PVA and Power Automate. Explore how you can trigger Power Automate flows directly from the virtual agent, enabling streamlined automation and effortless data retrieval from Business Central.

Through hands-on demonstrations, I will guide you in constructing a PVA that interacts with users, understands their inquiries, and effectively executes flows to fetch data from Business Central.

By leveraging Co-Pilot's intelligent suggestions and coding assistance, you will gain valuable insights into how to optimize the development process and accelerate the deployment of your Power Platform Virtual Agent. Learn how to harness the power of AI to enhance automation, improve customer experiences, and drive productivity within your organization.

Enhancing Data Security and Compliance with Double Key Encryption

In this session, we will be discussing Double Key Encryption (DKE) as part of Azure Purview, a security technology developed by Microsoft that uses two keys to access protected content. One key is stored in Microsoft Azure, while the other is held by the user, giving them complete control over their data. We will cover the benefits and limitations of using DKE, including its relevance for highly regulated industries such as finance and healthcare, and the specific scenarios in which it is recommended to use this solution. Additionally, we will go through the necessary steps to deploy DKE, including installing software prerequisites, creating sensitivity labels, and enabling DKE in your client. This session will be useful for anyone looking to enhance their data security and compliance measures, especially those who handle highly sensitive information.

Unleashing the Power of Hybrid with Azure Arc-enabled servers

With Azure Arc-enabled servers, you can manage Windows and Linux physical servers and virtual machines hosted outside of Azure, on your corporate network, or on another cloud provider. For the purposes of Azure Arc, these non-Azure hosted machines are considered hybrid machines. The management of hybrid machines in Azure Arc is designed to be consistent with how you manage native Azure virtual machines, using standard Azure constructs such as Azure policies and applying tags. When a hybrid machine is connected to Azure, it becomes a connected machine and is treated as a resource in Azure.
In my 30 min. session, I will show you how to connect hybrid (Windows and Linux) machines to Azure using the Azure Connected Machine agent on each machine, and review and customise the pre-built installation script for at-scale deployment of the Connected Machine agent to support your automated deployment needs.

Optimieren Sie die Effizienz Ihres Projektmanagements mit Microsoft Planner, Teams & Power Automate!

Von der Post-it-Wand zum digitalen Kanban-Board: Entdecken Sie in dieser 50-minütigen LifeHack-Session die Möglichkeiten der Automatisierung in Microsoft Planner & Teams und wie Sie durch den Einsatz von Power Automate zu einem erfolgreicheren Projektmanager werden. Agilität 2.0! Profitieren Sie von praxisorientierten Anleitungen zur Implementierung von Workflows und Optimierung Ihrer Arbeitsabläufe

Zero To Hero with Azure DevOps & Power Platform

Power Platform solutions can be easily exported from one environment and imported to other with manual efforts. Azure DevOps pipelines make it easy to automate to move your solutions from one environment to other. In my 45 min. Session I will set up Azure DevOps pipelines for this scenario and cover how to export and import the Power Platform solution from development environment to the Q&A environment and then export to the production environment using the key principles of: application lifecycle management, CI/CD, software tests & releasemanagement.