Technology blog from Inwedo
See how to solve everyday business problems with technology
Practical knowledge from real implementations and conversations with the people who ran them.
July 14 2026
AI data readiness: a vendor, a client, and an auditor on what blocks implementations
Companies increasingly come to vendors with the decision already made: "we want AI." Far fewer come with data that can carry that plan. In 90% of the Discovery workshops Inwedo runs, the problem traces back to Excel — a spreadsheet that has grown into the company’s database. In the fourth episode of Inwedo Podcast, I talk with Beata Król, Bartłomiej Mach, and Radek Podgórski about when a company is actually ready for AI — and how much of that depends on data.
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August 6 2026
The factory of the future: where to start digitizing a production plant
What does mature digitalization of production look like? We went looking for the answer in a plant whose parts fly in most of the aircraft over our heads. My guest is Robert Grelowski, Operations Manager at JPB Système Polska. From this conversation you’ll find out why digitalization doesn’t start with buying a system, how to keep the knowledge of experienced people inside the company, and what automation really changes in an operator’s job.
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July 31 2026
Tribal knowledge: how to keep it accessible and stop it from walking out the door
Every company has people who simply know what to do, even though it's not in any procedure. As long as they're around, processes run smoothly. How much depends on them comes to light with every vacation, audit, or move to another role — and hits hardest when someone hands in their notice. How do you protect employee knowledge so that your company's operational continuity doesn't hang on one person? How do you identify the knowledge that stops processes when it's missing? And how do you decide what to write down, what to automate, and what to grow in a second person? That's what we'll look at in this article.
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April 22 2026
Why Excel is the most expensive system in your organization
Someone on your team is staring at a spreadsheet right now, manually checking whether the numbers add up. You know this because they have to do it every day just to keep a specific process running. And you know their time could be spent on something far more valuable. Errors, version chaos, and manual data transfers are the Excel costs you deal with daily. But other costs are growing alongside them unnoticed. If Excel has become your organization's operating system, you're likely losing more than you think. What follows will help you spot where exactly and how to figure out which processes to move first.
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February 12 2026
Polaris: A quality framework that keeps IT delivery predictable
Software quality failures cost the industry trillions annually, yet quality in most teams remains either accidental — shaped by who's on the project and how much time they have — or bureaucratic, living in process documents nobody follows. We built Polaris to escape that trap: a software quality framework rigorous enough to prevent costly failures, but flexible enough that teams actually use it. Here's how we built it, what changed, and how you can adapt it.
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November 27 2025
How to connect AI with your business systems? A guide to Model Context Protocol
Model Context Protocol is an open integration standard that lets you connect AI to the systems already running in your organisation — including legacy and distributed ones. Without migrating entire systems or rewriting critical applications. In this guide, we explain exactly what MCP is, how it works and where to apply it — and why organisations that standardise how AI connects to their data today will gain a lasting advantage.
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September 18 2025
Integrate AI into legacy systems without replacing them — using MCP
You don’t need to rebuild your legacy systems to leverage AI — but you do need a strategy that lets them support it. MCP provides a structured way for AI to work consistently with existing systems. This article breaks down what MCP actually enables and when it’s worth using, along with three ways to access siloed data so AI can operate on reliable, coherent information.
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July 30 2025
Modernizing legacy systems: 3 strategies, building business‑case & embedding security
When you manage mission‑critical platforms running on decade‑old code, the question isn’t whether to modernise—it’s how. These systems still generate revenue, yet their ageing architecture inflates costs, slows releases, and blocks innovation. The real challenge is to overhaul them without disrupting day‑to‑day operations, while building a business case that proves measurable returns.
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July 8 2025
Food processing automation: 5 areas to begin with and a clear implementation roadmap
In food-processing plants, automation is not limited to robots on the production line. While machines are the most tangible symbol of change, a deeper transformation is driven by software that links every device into one intelligent, autonomous ecosystem.
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July 3 2025
Leveraging digital twins for competitive advantage
This article explores the very concept of Digital Twins, virtual replicas that offer real-time insights and control over physical assets and processes using virtual models, IoT, and machine learning. We examine how these technologies enable businesses to optimise operations, highlighting their predictive maintenance, manufacturing, and sustainability applications. We demonstrate Digital Twins' role in driving digital transformation and operational efficiency through various sector examples.
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