Days Of Knowledge | eOne Solutions

Days of Knowledge 2026 | UK | Nordic | Central

The Missing Orchestration Layer Between Business Central and AI

Join eOne Solutions at Days of Knowledge to see how Popdock exposes Business Central and all of your customers’ business data through a single governed layer, usable by AI, applications, and AI agents without rebuilding your architecture for each system.

Book a meeting with the eOne team

One Purpose-Built MCP for Business Central 

Business Central can expose APIs, with a thin wrapper, as an MCP. This approach requires prompting your way through to an answer and hoping the AI client chooses the right tables and fields without understanding your customer and their business.  Once you extend that pattern beyond Business Central into CRM, payroll, WMS, and industry systems, you are managing multiple APIs, multiple security models, and multiple governance risks.

PopdockAI replaces thin wrappers with purpose-built MCP tools designed for efficiency and consistency at scale. Instead of exposing hundreds of endpoints and relying on prompts to behave, you define intent-level actions with enforced permissions, embedded filters, and full auditability across Business Central and any other systems required. One governed MCP hub. One standardized vocabulary. One control plane between AI clients and production systems.

From Training to Deep Dive

At every event, eOne is running a technical session and a full-day pre-conference training.

Whether you’re scoping your first AI deployment or building a repeatable AI practice, there’s a seat for you.

*This Pre-Conference Training is free with your conference registration

Full-Day Workshop

Connecting AI to your Customer’s Business Data with PopdockAI

In this hands-on workshop, you will learn two core PopdockAI capabilities: AI-powered widgets embedded directly in business applications, and the MCP (Model Context Protocol) composer for connecting AI clients to customer data. You will start by adding a Business Central connector and an AI connector in Popdock, then build and deploy AI-powered widgets so users can interact with their data through AI chats and insights directly inside Business Central.

Next, you will use the MCP composer to deploy a custom MCP server without custom code. Publish a set of tools to your AI client, and configure actions that automate repetitive tasks (for example, downloading invoice PDFs). You will secure the MCP server with tool-level permissions, data validation and restrictions (for example, limiting a salesperson to their own invoices), and full audit visibility.

Business Central is the primary example in this workshop but the same skills apply across customer projects using Popdock’s catelog of 100+ connectors.

Pre-Conference Training Dates:
DOK UK: 25 March | Register
DOK Nordic: 16 April | Register
DOK Central: 20 May | Register

Technical Session

Popdock Deep Dive: Secure Data Access for Apps, APIs, and AI

26 March | 13:15 | Screen 9

18 April | 10:15 – 11:00 | Jylland (600)

This session explores a single data access layer pattern for multi-application environments and how it reduces the need for custom integrations. We’ll examine how Popdock delivers real-time access to enterprise data through a web app, embedded widgets, APIs, and MCP—using a single data model, unified governance, and a centralized audit trail.

You’ll see how no-code connectors provide fast, secure access across 100+ systems, enabling create, update, and deleteactions across connected applications while enforcing granular, row-level security. The session also demonstrates how teams can expose data and actions without customization and keep users working inside the systems they already use, including Business Central, CRM platforms, and AI assistants and agent frameworks.

Breakout Session

MCP and the Future of AI Integration

26 March | 16:30 | Screen 11

Model Context Protocol (MCP) is emerging as a foundational standard for how AI systems access and interact with business data and business processes. In this session, we will explore why MCP exists, the limitations of traditional API-based approaches when used by AI, and the core technologies that enable MCP to expose business capabilities in a way AI clients can understand and safely use. You will see how MCP structures and manages context around business data, defines trusted actions, and helps reduce hallucinations and cost by guiding AI behavior through clear, well-defined capabilities rather than free-form prompts.

This session looks beyond Business Central-specific MCP implementations to explore MCP as a broader approach to AI access across business applications. We will examine how business data and processes are presented to AI clients, how AI systems reason about available actions, and where the MCP standard is heading. The goal is to equip the audience with a practical mental model for understanding and discussing how AI can reliably interact with business systems without focusing on coding or low-level development details.

Breakout Session

What is MCP, and Why Do You Need to Care?

18 April | 14:45 – 15:30 | Room 9+10 (60)

In this session, we’ll unpack what an MCP (model context protocol) actually does and why it matters. Think of it as your secure bridge between AI tools and your business systems. An MCP gives controlled access to data and functionality, so your AI can do things safely—without handing over the keys to your vendors. 

We’ll talk about why having your own MCP Server gives you control, the pros and cons of every app having its own MCP, and how it helps your AI talk to all your systems (not just one). The goal: make AI informed and powerful, but keep you in charge of your company’s data and actions. 
Agenda at a glance: 

– Why you need an MCP 
– How MCPs keep your data and actions secure 
– How an MCP strategy helps connect all your systems while keeping you in control