Bridging the Agentic AI Production Readiness Gap Through Design

OPEN SUMMARY

The question behind the analysis.

A successful demonstration is only one part of deploying an AI agent. This report examines the organizational and operational conditions that can prevent a working prototype from becoming a reliable part of everyday work.

Three ideas to examine

1. Data access and quality, integration behavior and operating costs need to be examined in the environment where the solution will actually run.
2. Human responsibilities matter: who approves an action, handles exceptions, monitors the result and decides whether the system should stop?
3. Governance and adoption are treated as design questions from the outset, with explicit trade-offs between autonomy, control and operational effort.

What this means for a decision

Define production criteria before declaring a pilot successful. Include representative cases, permissions, exception handling, cost assumptions and the responsibilities of the people who will use and maintain the solution.