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XAGI is developing an AI Agent Assurance and Governance Platform for organisations deploying autonomous and agentic AI systems.
The platform is designed to continuously observe how AI agents behave in real-world environments, record their actions and responses, identify unsafe or unexpected behaviour, evaluate operational and security risks, and generate verifiable evidence for technical teams.
XAGI combines AI-based behavioural evaluation with monitoring and runtime governance infrastructure. Organisations can define policies and operational boundaries for their AI agents, monitor whether agents operate within those boundaries, investigate failures, and maintain auditable records of agent activity.
The technology is intended for enterprises building or deploying AI agents in areas such as customer support, internal automation, software operations, education, finance and other agentic workflows.
Unlike traditional AI testing that primarily evaluates models before deployment, XAGI focuses on the behaviour of autonomous AI systems during testing and real-world operation. The long-term goal is to build an independent technical layer for measuring, understanding and controlling increasingly capable AI agents while allowing organisations to retain control over their own systems and configurations.
The platform is currently under active research and development by XAGI Labs, with the initial focus on AI agent evaluation, behavioural monitoring, risk analysis, evidence generation and enterprise governance.