The industry is pivoting from AI assistants where they suggest things to AI agents that actually do things.
Agents can initiate transfers and modify contracts on their own authority.
Most organizations are approaching this with the same governance they used for chatbots.
That is a catastrophic mistake.
When an AI provides a wrong answer, it is a hallucination.
When an AI executes a wrong financial transaction or alters a legal agreement, it is a liability.
Having sat in boardrooms across several industires, I know that authority is never granted without a corresponding audit trail.
To move toward agentic workflows, the governance must shift from "output monitoring" to "delegated authority limits."
Executives must implement three non-negotiables:
First, establish hard financial ceilings.
No agent should have the authority to move funds beyond a strict threshold without a human sign-off.
Second, create a versioned state for every contract change.
You cannot simply overwrite a legal document.
Every AI-driven modification must be treated as a proposed amendment subject to an immutable log and a human "kill switch."
Third, define the "Accountable Human."
If an agent triggers a regulatory breach, you cannot blame the model.
There must be a designated executive whose signature is tied to that agent's permissions.
Efficiency is great.
But in the boardroom, reliability and accountability are the only currencies that actually matter.
Are you building an efficient system or an unmanageable liability?
Let's discuss.
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