Most mission planning systems were designed for stability. Clear chains of command, predictable timelines, and relatively fixed assets. Reality no longer looks like that.
Across defence, emergency response, and large infrastructure operations, we keep seeing the same pattern. Teams have more data than ever, better sensors, and improved communication tools, yet decision making becomes harder rather than easier. Plans exist, but the reasoning behind them is often invisible once operations begin.
The issue is not a lack of information. It is a lack of alignment between intent and execution.
Many planning tools act as viewers or route planners. They show what is happening but struggle to explain why a plan is succeeding or failing as conditions change. Operators are left adapting manually, rebuilding context under pressure.
This observation led us to start developing AMP.
AMP is an engineering platform we are developing to explore how complex operations can be planned and monitored more transparently. Rather than treating missions as static plans, it focuses on making objectives, decisions, and system state explicitly connected and observable in real time.
The aim is not to add just another situational awareness layer, but to help operators understand not just what is happening, but why a system is behaving the way it is.
Under the surface, this means combining structured planning models with live state estimation so plans can adapt while remaining explainable to human operators. Much of the work builds on practices already familiar within defence and critical infrastructure environments, but applies them in a more explicit and traceable way.
We are still actively developing this work, but one lesson has already become clear. In complex environments, situational awareness alone is not enough. Operators need systems that maintain continuity of reasoning as conditions change. That shift, from data visibility to decision clarity, is where we believe mission planning will evolve next.
We continue to explore these ideas through ongoing development of AMP and related coordination research. If you are working in environments where planning becomes harder as complexity grows, we are always interested in exchanging perspectives and learning how others are approaching the same challenges.
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