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The Future of Agentic AI is Flow-Based
After nearly two years of working intensively with Agentic AI—first as Sr CSA Manager Data & AI at Microsoft, working with strategic enterprise customers, and now as CEO of Scrydon—I’ve come to a clear conclusion: the future of Agentic AI is flow-based.
The initial promise of fully autonomous agents—AI systems that could independently reason, plan, and execute complex tasks—has given way to a more nuanced reality. As McKinsey notes in their analysis “One year of Agentic AI: Six lessons from the people doing the work”:
It’s not about the agent; it’s about the workflow.
This insight resonates deeply with what I’ve observed across dozens of enterprise deployments. Let me explain why flow-based agentic AI represents the path forward.
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AI Revolution Unleashed using AI Foundry at AI Tour Brussels '25
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Interactive Home Assistant notifications: Charge your car with a Tap
Home Assistant is an incredibly powerful platform for automating your home, and one of its standout features is the ability to create interactive notifications. Imagine this: it’s 21:30, you’re home, and your electric car isn’t charging yet. Home Assistant can send a notification to your phone asking if you’d like to start charging at a specific time—and with a single tap, you can confirm it. In this blog post, I’ll walk you through setting up a notification with an actionable response to control your car charger (and potentially other tasks) using Home Assistant automations.
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Small Language Models (SLM) at Tide '25
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AI Agents and Multi-Agent Systems at Tide '25