Integry AI Agent is a no-code integration and automation platform using advanced language models to let users design, deploy, and manage intelligent digital workers. Leveraging over 1000 pre-built connectors to apps like Salesforce, Slack, HubSpot, and QuickBooks, it transforms natural language instructions into end-to-end workflows without manual API coding. Users define triggers, actions, and conditional logic via a guided interface or chat-based prompts. AI-driven suggestions speed up flow creation, while real-time dashboards offer visibility into task execution, error handling, and performance analytics. Integry also enforces enterprise-grade security and compliance with role-based access control and audit logs, ensuring scalable automation for any team.

Secure Agent Augmentation provides a Python SDK and set of helper modules to wrap AI agent tool calls with security controls. It supports integration with popular LLM frameworks like LangChain and Semantic Kernel, and connects to secret vaults (e.g., HashiCorp Vault, AWS Secrets Manager). Encryption-at-rest and in-transit, role-based access control, and audit trails ensure that agents can augment their reasoning with internal knowledge bases and APIs without exposing sensitive data. Developers define secured tool endpoints, configure authentication policies, and initialize an augmented agent instance to run secure queries against private data sources.