Most teams do not actually have an automation problem; they have a model problem. Traditional workflows are built for a predictable world that no longer exists, leading to hidden delays and massive automation debt. In this video, we explore why it is time to move away from workflow-first thinking and embrace event-first orchestration to cut decision latency.
We dive deep into how the old model of linear sequences is cracking under modern pressure. When every exception requires a new branch or a child flow, your system actually gets slower as it grows. You will learn how to identify decision latency and why p95 processing time is a more critical metric than simple average run times for a healthy business.
The core of this shift involves treating events as the API layer for your business. Instead of asking what task comes next, we start asking what just happened. This allows for parallel reactions, cleaner boundaries, and better governance through event catalogs. We also discuss the technical side, including how Power Platform API connectors and Dataverse business events provide a structural foundation for this new architecture.
Finally, we look at a practical case study in incident response to show how parallel processing beats serialized workflows. Whether you are a leader looking to optimize operations or an architect building on the Microsoft stack, these insights will help you build a response fabric that scales with your business.
Chapters
0:00 The breakdown of the workflow model
3:15 Automation debt and decision latency
6:30 Shifting to event-first orchestration
9:45 The role of event catalogs and Dataverse
12:30 How API connectors change architecture
15:15 Case study: Incident response design
18:00 Practical steps to start the transition
Subscribe to m365 FM for more insights on building reactive systems. Connect with Mirko Peters on LinkedIn to share the workflow patterns that are currently slowing your business down.
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