AI Agent

AI Agent is an AI workspace that enables teams to create, deploy, and run AI agents that handle real work. It supports teams and individual users by providing a shared space where agents can read tools, query data, and execute tasks with minimal human input. The platform emphasizes no-code setup, integration with existing tools, and governance through focused control over actions and approvals. It is a workspace for teams to manage agents, workflows, and data in one place.

AI Agent operates by connecting to tools, briefing agents, letting them execute work autonomously, and then providing a review loop for human oversight. In practice, agents follow a loop: Connect → Brief → Work → Review, enabling automation of multi-step tasks while keeping humans in the loop for approval when needed. The system supports building agents that can run on schedules, on demand, or after a trigger, and it highlights the capacity to run entire playbooks through workflows and Autopilots.

Key capabilities are organized around building agents, organizing them into squads, and designing workflows and autopilots. Agents combine instructions, models, memory, knowledge, skills, and connected tools to perform tasks. Workflows define deterministic steps and approvals, while autopilots repeat proven processes. The platform also provides a central place to track work, tickets, and results across teams.

Company Brain and connected data sources unify information from tools like ad platforms, e-commerce data, and analytics to ground answers in reviewed data. The product emphasizes security, control, and scalability, describing agents that can read live data and propose or take actions within approved boundaries. It presents a path from a single agent to enterprise-scale deployments with governance and integration options.

Use cases

• Sales, research, content, and support workflows handled by AI agents
• No-code agent creation for teams