◇ Could this help me?
Yes. The four dimensions are the right ones and the explanation is accurate, including the less obvious point that the hard part of enterprise integration is usually the number of systems and their individual failure modes rather than the AI itself. It is worth internalizing as a calibration tool: it explains why a working demo does not shorten a production timeline nearly as much as it appears to. This is a general practice.
I have a working prototype and I want an honest assessment of what production would require. Walk through four dimensions for my case and tell me what is missing in each: latency and throughput including expected concurrency, queuing, and any response time guarantee; orchestration including state tracking, error recovery, and where a human should approve; evaluation and reliability including tracing, an automated test pipeline, and hard guardrails; and integration including every external system, its authentication, data format, rate limits, and failure modes. Give me a realistic effort estimate per dimension rather than an optimistic one.