The Druid Omnichannel Automation empowers organizations to create secure, composable AI workspaces that integrate data, automation, and analytics into a unified environment. It allows for the design of role-based interfaces, seamless connection to multiple systems, and the execution of tasks by AI agents at scale, ensuring security and transparency. Utilizing low-code and pro-code tools, users can design workspaces, views, and forms that blend live data from systems of record with intelligent automation and human intelligence, delivering connected and context-rich interfaces rapidly. The platform provides enterprise-grade control with features like role-based access control (RBAC), single sign-on (SSO), encryption, and audit logging, adhering to major compliance standards including SOC 2, CCPA, GDPR, HIPAA, ISO 27001, and the EU AI Act. Druid facilitates both human employees and AI agents in performing real work by triggering automated workflows, assisting with approvals, updates, and document generation, all within a governed and observable framework. Key capabilities include data modeling, UI composition, orchestration, embedding AI agents, and a Solution Library with role-based templates. It supports multi-view UIs (tables, Kanban, dashboards), unified data integration from various sources, and robust security features. Druid is an enterprise agentic AI orchestration platform designed for fast development and deployment of AI agents, knowledge bases, and intelligent applications to automate complex processes and enhance technology ROI.

Features & Benefits

• Secure, Composable AI Workspaces: Unifies data, tools, and teams into a single, secure environment for AI agents and human users.
• Unified Agentic UI Builder: Offers low-code and pro-code tools to design integrated workspaces, views, and forms blending live data and AI automation.
• Enterprise-Grade Security & Compliance: Enforces RBAC, SSO, encryption, and audit trails, aligning with SOC 2, GDPR, HIPAA, and EU AI Act requirements.
• Action-Oriented Automation: Enables AI agents and employees to execute real work, trigger workflows, and assist with tasks, all under full governance and observability.
• Data Modeling & Integration: Combines data from multiple sources (APIs, SQL, ERP, CRM) and models business entities for reuse across the platform.