Many companies document legal and compliance requirements in policies, contracts, and guidelines. As long as activities stay within standard boundaries, operations continue without friction.

But as soon as situations become critical – regulatory thresholds, contractual obligations, cross-border rules, or liability-relevant actions – automation stops and legal review is required.

AI can flag risks and inconsistencies, but it cannot decide or prevent execution.

With a BOB, companies define binding rules for when actions are legally and regulatorily allowed.

For example:

• Execute actions only within approved legal frameworks
  
• Only if contractual conditions are fulfilled
  
• Only if regulatory thresholds are not exceeded
  
• Only if required approvals are in place
  
• Only if no legal or compliance blocks exist

AI evaluates contracts, regulations, and contextual data. The BOB decides whether the action is allowed.

If the rules are fulfilled, execution proceeds automatically. If not, it is blocked before any legal or economic impact occurs.

Compliance shifts from after-the-fact control to preventive enforcement. Legally critical decisions are executed autonomously within defined limits.

• Higher automation without increased legal risk
  
• Fewer violations and disputes
  
• Reduced audit and review effort
  
• Greater confidence in automated operations

This is the difference between documenting compliance and enforcing it by design.