From intelligence to authority.

A capable agent can write a convincing response, navigate a tool, or complete a difficult task. That demonstration changes what a company might attempt. It does not settle how the company should depend on the system tomorrow.

Dependence introduces questions that a demonstration can leave unanswered. What happens on an unfamiliar case? Which part of the result came from a reviewer? Did the action produce the intended outcome, or merely appear to finish? Who is responsible for deciding when another attempt is acceptable?

As capability grows, delegation becomes the harder design problem. Two companies may use the same model and get very different amounts of useful work from it. The difference lies in what each organization knows about its own workflows, where people still supply judgment, and when it is prepared to change the boundary. Better models make that institutional knowledge more valuable.

That requires a more precise way to describe what has been demonstrated.

An agent is rarely competent or incompetent in the abstract. It may reliably summarize a contract while still requiring approval to send a redline. The same agent can be useful in one setting and unproven in another.

Competence depends on the task, the available tools, the governing policy, and the conditions encountered. An average score cannot express all those distinctions. A familiar task with a larger consequence may need a different boundary. Missing evidence deserves its own treatment; it is neither a successful result nor a demonstrated failure.

The useful unit of autonomy is a class of work under stated conditions.

This lets responsibility change selectively. A team can allow an agent to handle one part of a workflow while retaining human judgment elsewhere. To make that decision well, however, the team needs to know how earlier work succeeded, and who helped.

An agent can look successful while a person quietly does the hard part. A reviewer supplies the missing exception, repairs the answer, or redirects the request. If the organization stores only the final outcome, it loses the difference between independent competence and assisted success.

A useful record keeps the action, the human contribution, and the eventual outcome connected. It also keeps the conditions that made them meaningful. A reversal discovered later belongs with the earlier decision. A correction should remain available when a developer chooses the next evaluation.

Each review has an immediate purpose, but it may also teach the team something about future work. The value comes from retaining that lesson in a form people can inspect and use.

A model upgrade can improve capability while making previous assumptions less reliable. The organization should not have to rediscover every failure it has already investigated. Retained corrections give the new system concrete regression tests; changed conditions identify where a broader assessment is needed. History supplies the questions. The new configuration still has to answer them.

Memory alone does not decide what should happen next. The organization must turn it into a decision about responsibility.

Strong performance can justify considering a broader scope. It cannot determine which commitments an organization is willing to make. Some decisions remain with an accountable person because of their consequences, contractual obligations, or the organization's own policy.

People set that policy, and operational systems enforce it. Evidence should make the decision easier to examine: what supports the scope, what remains uncertain, and what would cause the team to reconsider.

Reconsideration must work in both directions. Responsibility can expand when the evidence and policy support it. A material failure, a changed environment, or an unfamiliar request can restore review or narrow the scope. Delegation becomes more useful when it can be revised without abandoning the whole system.

Human review then has a larger role. It handles the exception in front of the team while improving the basis for future delegation. The organization gains a way to learn from supervision instead of treating each approval as an isolated event.

As agents take on longer sequences of work, enterprise software will need to show more than tasks and conversations. People will need to see objectives, dependencies, outcomes, and the distribution of responsibility across the company.

A person would see where work is progressing, where judgment is needed, and which boundaries should change. The familiar unit becomes a responsibility carried through time. That interface needs a foundation: a company that remembers what its systems have done and what people had to contribute.

Self is that foundation: a record of agent actions, reviews and later outcomes that developers and owners both read. Developers can use the record to identify what to investigate next. Organizations can use it to examine the basis for delegation.

Self records each agent action with any review and the outcome that followed, and recommends a handling level for each class of work.