C.32.MWA.PP:5.6 - Capable AI changes the whole arrangement, not just the coach’s speed

Return to the three-team case in :5.4, but change the available means. Stipulate that appropriately configured agents are qualified to help with problem formation, elicit and examine the participant’s own judgement, retrieve the approved subject Methods and perform the relevant bounded technical review. They have authorized access to the needed data and can act within specified experiment limits. These are scenario premises to be established before real reliance; cheap tokens alone do not supply them.

The new candidate does not need to route every case through a central human coach. Participants can work with their own authorized agents at the relevant workplace. A maintained common service supplies Method versions, access, evaluation and recovery. A provider may operate that service; it need not be a new internal office. Local managers retain or delegate the actual allocation decisions according to the current authority.

If the human mastery promise is unchanged, the human still has to perform the contribution to be learned. The agent elicits that judgement before supplying answer-bearing help and examines later use under the promised support conditions. It can provide coaching and technical review without requiring a human to repeat each operation solely because the former arrangement used one. The participants’ two hours per case remain in the capacity account; cheap AI has not made their practice free.

A materially different candidate gives the agents responsibility for recognizing opportunities, constructing and selecting bounded changes, conducting authorized work and returning results and exceptions. If the recipient needs an organizational development result rather than every employee’s independent mastery, this can be a serious arrangement. It changes the human-learning promise and must be compared at that revised strategic result, not credited with human mastery the people did not acquire.

The central-office option can still be better when subject evaluation, confidential information or expensive shared infrastructure must be maintained once for many receivers. Conversely, trustworthy local agents with available common means can eliminate the original coaching bottleneck and its associated coordination. Compare those complete arrangements; neither “keep people in control” nor “replace the office with agents” supplies the configuration.

Change a condition. The agents can generate plausible questions but cannot use the decisive field measurements, and those measurements require a scarce physical facility. The bottleneck moves into access and experiment performance. More autonomous reasoning does not increase facility capacity. Recalculate which attempts can be performed, obtain the required access or choose a different question. The AI-rich arrangement remains useful for some work without supporting the original throughput claim.

If an agent proposes to change the very Method or evaluation means on which its qualification depends, separate that development work from ordinary enactment. Obtain the relevant subject and assurance result before extending the permitted use. The common service’s role may change from case-by-case help to maintaining qualified means, while the actual authority and receiving conditions remain explicit.