The production gap

The production gap is the work between a working prototype and a system that runs in production: review, data preparation, integration, permissions, security, monitoring, and operational ownership — everything a demo does not need and a real system cannot live without. Generative tools have reduced the cost of producing prototypes faster than they have reduced any of that work, which makes the gap more visible in more projects.

Why it matters

A buyer who has seen a convincing prototype has seen the cheapest part of the system. Decisions priced at demo time systematically underestimate the far side of the gap — which, in our engagements, is where most of the cost and most of the failure sit.

Common confusion

The gap is not a maturity problem on the buyer's side. Prototypes stall on the way to production mostly for structural reasons in how the work was sold and staffed — not because the organization "wasn't ready."

Where we use it

The structural argument is Why mid-market AI POCs fail to reach production; the cost consequences run through What a quoting system costs to run.