What makes an
agent “managed”?
A useful introduction to the responsibilities behind the managed layer.
A perspective on managed AI agents
Intelligent work.
Thoughtfully
managed.
Understand the possibilities. Navigate the decisions. Discover a clearer path to managed AI agents.
FOR BUSINESS LEADERS & TECHNICAL TEAMS
Structure enables possibility
01
Understand the opportunity
Start with work that matters.
02
Design for control
Give autonomy clear boundaries.
03
Move with purpose
Make the next decision clearer.
The opportunity
A new capability.
A practical
point of view.
Managed agents open a conversation about how intelligent systems can support meaningful work. The useful starting point is a clear outcome—and a considered way to get there.
Explore the tasks, decisions and principles that help turn that conversation into a focused next step.
Meet Managed Agents CenterExplore the possibilities
Potential, with
a practical purpose.
Start with a defined task. Explore the information, oversight and outcome it would require.
Turn information into a clearer point of view.
Explore how an agent could gather approved sources, connect the relevant detail and prepare a structured brief for a person to review.
The human perspectiveCheck the evidence, sources and conclusions before the brief is shared.
Illustrative workflow
01
Define the questionSet the scope and the approved sources.
02
Gather and synthesizeOrganize relevant findings into a draft.
03
Review the outcomeVerify evidence and approve the brief.
Pilot measure: briefs accepted without substantive corrections.
A considered approach
From possibility
to a purposeful
first step.
A strong pilot starts with the right questions. Establish a clear outcome, define the boundaries and decide what evidence will matter.
01Define the outcome
Choose a repeatable task with a clear result. Describe what success looks like and how you will compare it with the way the work is done today.
02Understand the environment
Identify the information, tools and integrations the task requires. Consider where data should remain and which responsibilities belong to your team or service provider.
03Give autonomy clear boundaries
Set permissions, review points and a route for exceptions. Decide which actions require approval and how a person can inspect the work.
04Evaluate, learn and refine
Assess quality, time, cost and the amount of human correction. Use the findings to decide whether to improve the pilot, extend it or choose a different task.
Perspectives
Good questions.
Better starting points.
Concise reading for the decisions that come before deployment.
What makes an
Put oversight
into the design.
Consider permissions, review and exceptions before the work begins.
Choose a pilot
worth learning from.
Define a focused evaluation that helps you make the next decision.
Bring your next step
into focus.
A clear purpose. A considered approach. A conversation worth having.