Tako

Tako is an autonomous AI agent engineered to transform identity management by acting as a specialized sidekick for Okta operations. Built on a multi-agent orchestration system, the model utilizes advanced context engineering to interpret natural language queries and execute tasks across over 107 Okta API endpoints. By moving beyond simple data retrieval, it is designed to reason through identity-related issues step-by-step, effectively replacing manual console navigation and complex scripting with an intuitive interface that supports Slack integration and command-line operations.

The model’s architecture has evolved through a measured development process, transitioning from initial natural language querying to secure, real-time API execution. By implementing a dual-datasource approach, Tako can operate entirely through Okta’s APIs without requiring local database dependencies, ensuring real-time data accuracy. This design lineage emphasizes a shift toward autonomous workflows, where the agent generates and executes secure code to troubleshoot access issues or manage user data. As it continues to mature, the platform provides a practical, scalable solution for IAM engineers looking to automate routine tasks and gain deeper insights into their identity infrastructure.