Know what you govern.
Build an inventory of your agents, models and third-party AI. Give each system an owner, a purpose and a risk profile.
Active governance for autonomous AI
Autonomy, within
clear boundaries.
Bring oversight into every agent workflow. Set the boundaries, approve critical actions, and follow what happens next.
Oversight belongs
where the action happens.
Autonomous agents can read, decide and act across your business. Every handoff creates a question: what is this agent allowed to do?
Nadi is designed to embed governance into the workflow itself. Give each agent a defined scope, put approval before consequential actions, and carry the evidence through execution.
One loop. Continuous oversight.
A simple operating model for AI that acts on your behalf.
Illustrative workflow / invoice assistant
OPERATIONAL BOUNDARIES
A clear scope before the first action.
Let an invoice assistant read approved records and draft a payment request. Keep payment execution outside its default permissions.
AllowedRead records. Draft request.
BoundaryNo payment without approval.
This example explains the concept. It is not a live product session.
A connected view of your AI.
The controls make sense together. Nadi brings the context, the decision and the resulting action into one governance model.
Make authority explicit.
Connect policies to permissions. Decide which actions can proceed and which need a human or system approval.
Keep a trace you can follow.
Connect the original plan to its approval and outcome. Retain decision logs and monitoring signals so teams can review what happened.
Governance, built into
your way of working.
Nadi comes from a team that builds AI agents and the systems they work in.
We start with your actual workflow, identify the actions that need control, and design the integrations around your existing tools. The goal is useful autonomy with clear accountability.
Meet ZimoziGive your AI
a governed pulse.
Start with one workflow. Let’s map where autonomy needs a boundary.