Two colleagues stand at a glass gate in an atrium, a cluster of cyan pixels gathered in front of it, waiting.

Agents do the work.A person stays in charge.

Every agent we build or run has an owner, a role and a record, and a person decides what it changes.

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How we keeppeople in charge.

A person approves
The agent proposes, the owner decides. Reviews land in one inbox.
A named owner
A personal agent answers to its owner. A team agent has a named manager.
Limits by role
Role permissions and tool policy decide what is allowed, what needs approval and what is denied.
A full record
Who did it, which agent, which tools and what changed.

Personal agentsand team agents.

Personal agent
One for each person. Private to its owner, and works for them.
Belongs to
One person
Acts as
Its owner, with the owner’s access
Accountable
Its owner
Team agent
Does a job for the whole team, and is listed in the team directory.
Belongs to
The team
Acts as
Itself, with its own assigned roles
Accountable
A named manager

Either way, role permissions and tool policy decide what is allowed, what needs approval and what is denied.

AI works on a copy.You approve what goes live.

A working copy of your data, with a gate before production.

A white scale model of a company campus on the left and the same campus drawn in cyan pixels on the right. A dotted pixel path runs from the copy back to the original through a small gate.

Your live systems
Stay the system of record.
Digital twin
A copy of your data, where agents do the work.
Approval
A person decides what goes back, and when.

How governance works

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The Tampa Riverwalk at night, with downtown towers on the right and a stream of cyan pixels following the railing.

Who should stay in charge of what?

Tell us the work you want agents to take on. We will walk through who would own each agent and what they would approve.

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