Question 1

How are organizations defining decision rights for AI?

Accepted Answer

Many organizations haven’t fully defined them. Seven in 10 executives report unclear decision rights in AI-enabled work, even as nearly two-thirds say AI is already reshaping roles and workflows.  Where decision rights are clearer, organizations tend to specify when AI outputs are followed, when human judgment is required, and who holds override authority—reducing the need for employees to interpret those boundaries on their own.

Question 2

How are leaders clarifying accountability in AI workflows?

Accepted Answer

Accountability is becoming harder to track as AI becomes embedded in work. Ninety-three percent of executives say AI-enabled work makes performance more difficult to evaluate, and 50% of employees say it’s harder to receive fair credit.  Organizations with clearer accountability make ownership more visible—especially when human judgment and AI outputs diverge—so responsibility doesn’t become diffused.

Question 3

How are enterprises governing AI-driven decisions effectively?

Accepted Answer

In many cases, governance isn’t keeping pace with adoption. While 64% of employees report having AI guidelines, many say those guidelines are already outdated, and 77% of technology leaders say AI adoption is moving faster than governance capabilities.   Where governance is more effective, it shows up within workflows themselves—through clearer escalation paths, defined checkpoints, and more explicit decision authority at the point of action.

Question 4

How is decision authority shifting in AI-enabled work?

Accepted Answer

AI is already changing where decisions are made. Sixty-three percent of executives say AI has shifted who makes key decisions, and 70% report that unclear authority has led to issues in AI projects.  As more recommendations are generated upstream, decisions increasingly move closer to the edge of the organization—making clarity around authority and escalation more consequential.

Question 5

How is decision-making evolving in AI-enabled organizations?

Accepted Answer

Most organizations are still in transition. Only 15% combine advanced AI maturity with strong change execution, yet those that do report 73% higher revenue growth and a 11% improvement in operating margin.  The difference shows up in how decisions are structured—how AI inputs, human judgment, and checkpoints are integrated across workflows, rather than handled in isolation.

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