- Leadership
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Why Large Language Models Are Not the Right Tool for Identity Verification
AI is everywhere and Large Language Models (LLMs) are increasingly proposed for use cases like ID and passport recognition in digital onboarding. At first glance, this sounds innovative. In practice, it’s often the wrong architectural choice.
Creating a Parking Spot Agent in M365 Copilot
Keeping track of parking spot assignments can be annoying. I do not enjoy push notifications on my phone and I often forget the exact spot I received. Searching through emails is not something I want to do either. My calendar, however, is the one place I check every day. That is why I decided to create a simple M365 Copilot agent that reads my parking confirmation emails and automatically creates a calendar entry for me.
The Road to an AI Augmented Workforce
We’re not just adopting new tools, we’re reshaping how people work. As AI shifts from buzzword to infrastructure, the pressure is growing on organizations to adapt. But the real transformation won’t come from software updates. It’ll come from people building the right skills to work with AI, not against it.
Canvas Ghosts: Solving the Silent Power Apps Bug
In enterprise software, it’s not the visible errors that haunt us—it’s the silent ones. Recently, we ran into one of those “ghost bugs” in Microsoft Power Apps, no errors, no alerts, just a dead-calm editor window and an app that refused to behave.
From Concept to Copilot: Defining the Right Intake Criteria
AI copilots are reshaping how we interact with digital systems, but their success is not accidental—it starts with well-defined intake criteria. Without a structured approach to defining the agent’s functional and technical scope, we risk building copilots that lack usability, accuracy, or security.