Define the delegation
Specify outcomes, approved data, tools, permissions, limits, and decision rights. Make the conditions for asking a person explicit.
Lead the people.
Understand the agents.
As AI agents take on connected tasks, managers need to understand the work beneath the status report: the data, the decisions, the errors, and the outcomes. We call this emerging responsibility agent leadership.
A DIFFERENT MANAGEMENT PRACTICEFrom coordinating activity
From coordinating activity
to supervising outcomes.
An agent can work with tools and data to complete a defined task. Several agents can pass work between themselves. They can be configured to process work around the clock—but reliability, permissions, and escalation still need deliberate design.
The accountable manager needs enough technical fluency to question a result, read an error, inspect a run history, and work with engineering on the response. Meetings and presentations become more useful when they are connected to this operating evidence.
“Agent manager” describes a responsibility that organizations may distribute across existing or new roles. It is not a standardized job title, and it does not remove the need for engineering or human leadership.
FOLLOW THE WORKConnected agents.
Connected agents.
Accountable decisions.
Explore each step in a sample workflow. Notice what the system is allowed to do, what the evidence reveals, and where the manager needs to intervene.
ILLUSTRATIVE WORKFLOW / SYNTHETIC CASE An overnight service exception
EXAMPLE RUN HISTORY
02:14 · DEMO-014 · Request classified as a delivery exception.THE MANAGER’S QUESTION
Is this the right category, and what happens to ambiguous requests?
Review sampled classifications and route uncertain cases to a person. A confident label still needs evaluation against real examples.
A learning example, not a live system. Continuous processing is bounded by permissions, evidence, and human decision rights.
WHAT MANAGERS NEED TO PRACTICEEnough fluency
Enough fluency
to lead responsibly.
Develop these practices with your technical partners and the people who understand the work.
Inspect the operation
Read logs and traces, check data provenance, understand evaluation results, and distinguish a system failure from a business exception.
Intervene and improve
Know how to pause, escalate, recover, and review a failed run. Work with engineering to fix recurring causes and re-evaluate changes.
Develop the people
Revisit roles, learning time, workload, and incentives. Make room for people to challenge an output and contribute to a better workflow.
A DIFFERENT PERFORMANCE CONVERSATIONMeasure what is accepted.
Measure what is accepted.
Account for what it takes.
Volume and speed tell only part of the story. Compare the redesigned workflow with a baseline for the same kind of work.
Look beyondExamine instead
Outputs generatedAccepted outcomes, accuracy, completeness, and error severity
Tasks completed without a personAppropriate autonomy, useful escalations, and approval boundaries respected
Time to the first draftEnd-to-end cycle time, review effort, rework, and exception backlog
Tool subscription costFull cost per accepted outcome, including integration, evaluation, supervision, and operation
Reported time savingsRealized value, capacity put to use, customer outcomes, and the effect on people’s work
A proposed management scorecard, not a universal benchmark. Choose measures that fit the workflow and the consequences of error.
A LEARNING CONVERSATION BUILT AROUND YOUR CONTEXTBring a workflow.
Bring a workflow.
Develop the management around it.
We can explore agent leadership as part of your organization’s capability plan: identify the responsibilities, examine a bounded workflow, practice reviewing evidence, and define a useful management scorecard.
We’ll discuss your industry, systems, team readiness, and learning goals before agreeing scope, format, or pricing. This is an expression of interest, with no payment or enrollment commitment.
Register your team’s interest