How do you connect AI to the business systems already running in your organization — in a way that's stable, scalable and independent of which model you choose? So that each new AI initiative can launch faster, cost less and work with your existing processes. Is that even possible?Yes. Model Context Protocol is an open standard that does exactly this — it connects AI models to your existing systems through a single integration layer you can build on over time.In this episode we cover:

• what MCP actually is and how it works as a shared "conversation layer" between AI and business systems
• where MCP delivers the most value in practice — we walk through use cases across manufacturing, logistics, construction, IoT security and retail
• why point-to-point integrations slow down future projects — and how MCP changes that
• what groundwork (especially around data) needs to happen first so integration is predictable and secure
• what MCP implementation looks like step by step, without restructuring your entire IT architecture

Learn more:

➡️ Explore BridgeAI™ — the approach we use to implement MCP.

➡️ If you want to assess whether your data and environment are ready for MCP, you can book a free Polaris audit. We offer two each month, and you'll receive a report with a prioritized action map within two weeks — no obligations.

Book a free Polaris audit.