One-minute cross-industry example

A factory team needs more throughput from a filling and inspection cell without sacrificing product quality, maintainability, or safe operation. The first discussion jumps between four labels: modify the existing line, buy an integrated cell, assemble a solution from specialist suppliers, or combine operators, robots, machine vision, and AI agents.

An FPF-driven agent does not begin with a software architecture or a generic transformation plan. It helps the engineer:

• identify the actual project System and the operating use that matters;
• recover affected neighbouring and using Systems;
• compare functional, bearer, and interface alternatives;
• turn the four labels into comparable whole obtaining arrangements, including integration, assurance, support, capability, lock-in, and exit burdens;
• identify which configuration and effectivity range each claim concerns;
• connect trials and measurements to the exact claims they may support;
• distinguish overlapping Work from dependencies that genuinely require order;
• expose capability, assignment, permission, and decision-authority gaps;
• record the selected architecture, accepted trade-offs, evidence basis, and reopen conditions;
• return commissioning and field feedback to the affected design, Method, and decision.

The agent can draft and inspect this result using FPF and the Systems Engineering DPF. Engineers and other authorized participants contribute ground truth, evaluate the evidence, negotiate commitments, and make the actual decisions. The same distinctions apply to a building subsystem, laboratory setup, medical device, robotic product, energy installation, organizational method, research program, or software-intensive System.