The progressive degradation of context, intent, and data integrity as a task moves across departmental or system boundaries.
You have seen this in every organization. A project starts with clear intent, but by the time it reaches the third team or the second automated system, the original goal is a ghost. This is not just a communication error. It is a structural failure where the friction of moving work between silos strips away the nuance required to execute it correctly.
In an era of agentic workflows, this entropy is becoming a silent tax on your speed. When you hand a task from a human to an AI, or from one agent to another, the loss of context forces the receiver to guess, hallucinate, or stall. You are not just moving work. You are losing energy at every junction. The goal is to minimize the number of handoffs and maximize the fidelity of the information that survives the transition.
A marketing team generated high-intent leads with rich behavioral context, but the CRM integration stripped the metadata before the sales team received the notification. Sales reps treated these as cold calls, leading to a 40% drop in conversion rates despite high lead volume.
I watched our procurement agents fail because the upstream inventory system provided raw numbers without the 'urgency' flag attached to the original request. The agents optimized for cost instead of speed, causing a production line stoppage.
We previously relied on email threads to move compliance checks between teams, resulting in constant 'what is the status' follow-ups. We moved to a unified state-machine where every handoff includes a mandatory context-summary block, reducing cycle time by 60%.
A product team added four layers of automated 'quality checks' between design and engineering. Each layer stripped away the original design intent, resulting in a final product that was technically compliant but functionally useless to the end user.
