AI that decides: decision models and what they bring to process automation
What decision models are, where they fit inside a business process, and how to evaluate Jev, Kev and Laya before thinking about fine-tuning.
Blog
Blog
Notes on automation, AI agents and software development.
Game Laboratory: how The Fox in the Portal came out
We set out to see how a game gets made and ended up with one: The Fox in the Portal. Blender for the modelling, an LLM driving Blender over MCP, and Unity to build the game itself. What we learned along the way.
From product to operations: StreamPath goes live
In production since 15 July: the accounts receivable files of a leading Argentine business holding, moving every day between its ERP, its banks and its partner companies. What changed most: seeing, as it happens, that every file arrived where it had to arrive.
How to connect Microsoft Foundry with Microsoft Fabric to talk to your company's data
How to combine a Foundry Agent with a Fabric Data Agent to ask questions about your company's data in natural language, respecting permissions and governance.
Just because it works doesn't mean it's well built
With AI, one person can turn an idea into a working application in very little time. That opens up enormous possibilities and lets you test more ideas…
Automations and agents: the problem isn't the tool, it's knowing what decides
Everything is called an “agent” today. But there are two very different ways to solve one process, and the wrong choice only shows once the system has grown.
How we run AI automation projects at The41
AI automation isn't a generic fix or an off-the-shelf product. Here's how we approach automation projects at The41, from initial analysis to launch and support.
Checklist: is your company ready to automate with AI?
AI automation is not right for every company at the same time. This checklist helps you assess, in practical terms, whether your organization is ready.
How to calculate the ROI of AI automation (without complicated formulas)
AI automation isn't justified by hype but by business impact. Here's how to calculate the return on an automation in a simple, realistic, decision-driven way.
Common mistakes when implementing automation and AI in companies (and how to avoid them)
AI automation can deliver huge benefits, but done badly it usually brings frustration and poor results. Here are the most common mistakes companies make.
AI-assisted programming: what it can do, what it cannot, and why humans remain key
AI is now part of software development, but it does not replace developers. Here is how AI-assisted programming speeds up work, where its real limits are…
Real-world use cases of AI automation in companies
AI automation isn't theory, and it isn't reserved for large corporations. Real, common scenarios where AI agents and process automation deliver concrete impact.
AI process automation: what it is and how it differs from traditional automation
Automating processes is nothing new, but AI changed the rules of the game. A plain-language guide to AI automation, RPA and AI agents, and how they differ.
Why AI Automation Is Now a Necessity for Companies
AI is no longer a future promise. Automating processes with AI is now a strategic decision that directly impacts efficiency, costs and business growth.