Because autonomous action creates risk. As long as AI only recommends or analyzes, risk stays with humans. But once AI is allowed to act, decisions become final and legally relevant.

Giving rules directly to an AI is not sufficient. An AI can interpret, ignore, or override instructions if nothing enforces them. In computer science, this is a known principle: A system cannot reliably enforce its own boundaries if those boundaries are part of the same system.‍

A rule framework must therefore exist outside the AI. It defines what is allowed and ensures that only compliant actions can be executed.

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Because rules must be enforceable, not just documented. Databases and traditional systems can store rules, but they cannot prevent actions from being executed outside or after those rules.

Blockchains work differently. They evaluate rules and authorize actions before execution. Only actions that comply with the rules receive a valid authorization. Systems such as payments, contracts, or access control can be configured to accept only these authorizations.
That is why most AI systems hosted on databases remain advisory. And why autonomous AI that acts on behalf of a company requires blockchain-based infrastructure.

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No.
A BOB does not replace existing systems. It sits alongside them as a rule and authorization layer.
ERP, CRM, payment, and operational systems continue to execute actions. The BOB simply decides whether an action is allowed to happen.

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The company.Companies define the rules.
The BOB enforces them.
AI operates only within these boundaries.
Autonomy does not mean loss of control.
It means control is embedded into infrastructure rather than manual oversight.

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Yes – in a controlled and auditable way.
Rules are versioned and updated when business, legal, or regulatory requirements change.
Each change is reviewed and approved before becoming active.
This allows companies to evolve automation safely without breaking trust or compliance.

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AI can propose actions, but it cannot bypass the rules.
If an action violates the rule framework, it is simply not executed.
Mistakes are contained before they cause economic or legal impact.
This is what makes autonomous AI viable in critical environments.

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It is simple by design.

Companies start with one critical decision or process they already manage today. The rules are not new – they are existing policies, limits, and approval criteria made explicit.

Rules are translated into a machine-readable format and deployed to the BOB, where they are versioned, auditable, and enforceable.

AI can analyze the rules, simulate outcomes, and propose improvements. Only people within the organization can change or approve them.

Companies expand their rule framework step by step, while control always remains with the organization.

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