AI autonomy where it pays off. Control where it counts.

Picture the person who has to sign off on your first autonomous agent.

It might be your head of audit, your CISO, or the risk lead for the business unit that wants it.

They ask one question: when this agent does something, who authorized it?

If nobody can answer that cleanly, the agent stays in pilot.

That chair is where a lot of agentic AI gets stuck.

In DataRobot’s Unmet AI Needs Survey 2026 of 413 agentic AI stakeholders, the question of whether existing access controls and catalogs are adequate to govern agents came out a coin flip: 49% said yes, 51% said no.

Governance also topped the list of challenges companies expect when scaling from one agent to 100 or more, cited by 61%.

And launch isn’t the finish line, since 94% of organizations hit Day 2 operational issues after deploying agentic AI.

The workaround most teams reach for is a human clicking approve on every meaningful action.

That doesn’t automate anything.

It adds a new interface to the same bottleneck.

And the problem just got bigger, because a new class of agent has gone mainstream.

These agents don’t wait to be invoked.

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