AI agents with governance you can prove
A registry of agents with explicit autonomy tiers, read, propose, write-gated, and block, plus Approval-Center gating for anything sensitive. Automation that respects the same rules as your people.
Every agent has a defined level of trust
Autonomy is explicit, visible, and changeable. An agent only ever operates at the tier you set.
Read
The agent can observe context and report. It changes nothing.
Propose
The agent drafts a change and submits it for human review.
Write-gated
The agent can act, but only after Approval-Center gating.
Block
The agent is suspended and cannot act at all.
What is real today, and what is planned
The governance model is live inside Nexus. Customer-owned, tenant-scoped agent fleets are planned.
Registry of agents
Every agent is listed with its purpose, owner, and current autonomy tier.
Explicit autonomy tiers
Read, propose, write-gated, or block, set per agent.
Approval-Center gating
Anything sensitive routes through the same approval flow people use.
Full action audit
Agent actions are recorded in the company audit trail.
Customer-owned agent fleets
Tenant-scoped fleets that companies define and run themselves.
Agent execution API
Programmatic execution for customer automation.
An honest note on today's agents
The agents running in Nexus today are primarily IK Studios' own build-and-operations fleet, governed through this model. Letting customers define and run their own tenant-scoped agent fleets is a planned premium capability, not something offered as shipped.
Put governance around your automation
See how autonomy tiers and approval gating make AI operations auditable.