AI agent control plane for
Human-above-the-AI
Bring agent execution through a governed path. Connect policy, validation, human approval and evidence
A request arrives
The policy decides what follows
Try the example below. Allowed requests can proceed, blocked requests stop, and approval requests wait for a person.
One brief
Three possible paths
Choose where the agent sends the same research brief. The policy determines what happens next.
Destination: Approved team workspace
Saving within the approved workspace is allowed.
No human approval is required by this example policy
Execution complete
Brief saved to the team workspace.
Illustrative example. No request is sent. Policies and approval requirements are configured for your organization.
A clear boundary
A connected record
OLA equips teams to do the work. RYNTA governs how agents reach business systems.
OLA workspace ↗Permissions define the working boundary
Define the permitted space
Set who can act, which systems they can reach and what each action is allowed to do
The RYNTA platform
Product details, execution controls and validation workflows live at rynta.io.
Visit rynta.io ↗Opens in a new tabIntelligence,
put to work
Connected knowledge
Purposeful action, human control