Iron Gorilla is a platform designed to deploy and manage artificial intelligence agents within enterprise workflows. Its primary function is to integrate AI agents into business operations, where they begin working alongside human teams and gradually earn increased autonomy based on their performance. The platform treats each AI agent as a new hire, starting with supervised tasks and tracking its behavior through a proprietary trust score. This score determines how much freedom an agent has to act independently; agents that consistently perform without errors gain higher scores and more autonomy, while those that make mistakes are automatically pulled back for review. The system enforces governance in real time, intervening the moment an agent acts outside its defined parameters, rather than relying on post-event audits. The platform includes several core features for managing AI agents. Trust Profiles allow administrators to assess which agents are ready for more independent operation. The Agent Builder enables users to convert business objectives into deployable agents. The Command Center provides a centralized interface for managing approvals, monitoring signals, and collecting evidence of agent actions. Connectors and MCP facilitate integration with external tools using scoped access. The LLM Proxy routes model calls while tracking costs and maintaining records. Policy Builder translates business rules into live controls that govern agent behavior. Reporting tools convert governance data into exportable evidence. The platform also supports zero-trust autonomy with cryptographic chain-of-custody for government applications. Typical use cases span multiple industries. In banking and finance, the platform enforces compliance on trading, lending, and transaction flows. In healthcare, it deploys HIPAA-aligned agents that protect patient health information and maintain audit trails. Insurance companies use it for automated claims triage with personally identifiable information redaction and policy enforcement. The platform also serves defense, construction, and other sectors where sensitive data handling and strict approval paths are required. A common workflow involves an agent sending an email, moving money, or updating records autonomously, with every action logged, signed, and attributable in real time. If an agent attempts to access unauthorized data or make an unapproved commitment, the system stops the action before it completes. Technically, Iron Gorilla operates as a full-stack governance system. The platform runs the AI agents and also manages the underlying infrastructure, meaning a single company is accountable for both agent safety and data security. All agent actions are logged and traceable, with no exceptions. The system is designed to catch mistakes before they cause damage, rather than discovering them after the fact. It supports multiple AI models and tools, and enforces policies across all of them from a single control plane.