As AI becomes more powerful, is your organization becoming more capable?

The organization’s capacity to revise frames, assumptions, and approaches as new evidence and conditions emerge.

The capacity to evaluate the accuracy, relevance, bias, and risk of AI outputs and determine where human review and judgment remain essential.

The capacity to detect AI-related signals, explore plausible futures, and act before change becomes urgent.

A shared belief that questioning AI-supported decisions, reporting risk, and discussing failed experiments will not invite interpersonal or career punishment.

The extent to which people retain confidence in the honesty, reliability, benevolence, and accountability of leaders and colleagues through AI-enabled change.

A shared understanding of why the organization is adopting AI, what value it should create, and how human contribution remains connected to that value.

The capacity to allocate work around complementary human and AI strengths while making review, decision rights, and accountability explicit.

The capacity to test AI-enabled ways of working through explicit hypotheses, bounded scope, success evidence, review points, and stopping rules.

The capacity to convert AI-enabled efficiency into higher-value work, learning, and recovery rather than continuous workload intensification.