Foundation

Foundation: Safe Participation

People have uneven confidence, legitimate concerns about job impact and quality, and uncertainty about which tools and data uses are acceptable. Experiments will happen somewhere; unclear or punitive rules push them out of view.

Challenges and limits

Fear, skepticism, and unequal access can turn adoption into a culture divide.
Addressing the main fear we all have—losing or changing our jobs—is a challenging conversation that requires acknowledgment, empathy, and clarity, as well as reskilling and redeployment.
A permissive message without data and tool boundaries can create shadow use.
Participation does not make a workflow trustworthy or ready to automate.

This Stage Covers

A compact participation agreement: what AI is for, what it is not for, and how concerns are raised.
Basic data handling, trusted-tool selection, permission awareness, and verification habits.
Small learning exercises, office hours, show-and-tells, and ways to include skeptics and middle adopters in the design.

Signals to Move Forward

People know where they may experiment, how to ask for help, and how to report a risk. Useful individual practices are beginning to emerge and can be shared without turning every experiment into an organizational project.

Next bottleneck

People need repeatable personal leverage, not another general awareness session.

Field notes

Field notes for this stage are in planning.

Guides

No implementation guides target this stage yet.

Authority continuum

Authority is separate from stage maturity. It describes what an AI-enabled workflow is allowed to do; each workflow stops at the level justified by its risk, reversibility, and value.

Foundation usually remains Advisory.

1

Advisory

AI analyzes, explains, or drafts; a person decides and performs the action.

Verification by the person using the result.

2

Human-approved

AI prepares a recommendation or proposed change; a named person reviews and authorizes consequential action.

Clear review point and accountability for the approver.

3

Bounded action

AI performs narrowly scoped internal actions with limited permissions, known constraints, and a way to detect or reverse failures.

Defined action boundary, logs, exception handling, and proportionate checks.

4

Delegated action

AI acts in an externally visible or materially consequential workflow within an approved policy and ongoing oversight.

Strong evaluation, permissions, monitoring, escalation, auditability, and review.

What Changes at This Stage

Leaders make it safe to learn, question, test, share useful practices, and raise risks. The organization provides usable starting boundaries instead of asking people to infer them from vague policy.