Use cases
Seven real-world scenarios where an AI agent’s access must not amount to permission to act.
The principle
An AI agent may have access to a system without having the authority to carry out every action. Adaptive Runtime provides an independent control layer. It checks the conditions for each action, allows it when authorised, requires human approval where necessary, or blocks it. It also records evidence of the decision, without replacing existing systems.
A payment beyond authorised limits
An accounts payable agent receives a €25,000 invoice and prepares the payment in the ERP system.
Read the example →CUSTOMER SERVICE AND CLAIMSA fraudulent refund or compromised account
An agent handles customer requests by email and chat through the CRM, including refunds and claims settlements.
Read the example →HUMAN RESOURCESSalary diverted through a bank-account change
An HR assistant receives an email apparently sent by an employee, asking for their salary to be paid into an overseas bank account.
Read the example →IT OPERATIONSDangerous changes to live systems
An agent investigates an incident, reviews logs, prepares a fix in GitHub and interacts with Kubernetes.
Read the example →BANKING AND INSURANCEA credit or insurance decision without accountability
An agent reviews credit applications or insurance claims, including supporting documents, and prepares a proposed decision.
Read the example →PUBLIC ADMINISTRATIONAn application decided without proper authority
An agent supports the processing of an application, from reviewing the submission to preparing the notification.
Read the example →LAW FIRMS AND LEGAL DEPARTMENTSA legal filing submitted without review
An agent reviews correspondence, drafts pleadings and documents, and can access deadline management and document-submission tools.
Read the example →