AI agents that reason, act, and close the loop — governed for enterprise scale
Most AI tools reason but can’t act. Most automation tools act but can’t reason. Build AI agents and workflows connected to your actual data — where reasoning and action happen in the same governed system. Deploy to production in days with human-in-the-loop controls and enterprise security by default.
Deploy agents that reason and act end-to-end
Retool agents don't just generate text. They query your databases, call your APIs, update your CRM, route tickets, and complete multi-step workflows from start to finish. The reasoning and the action happen in the same system.
Keep humans in the loop where it matters
Define which decisions agents make autonomously and which ones surface to a human for approval. Routine cases close automatically. Edge cases escalate cleanly. The boundary is configurable, not hardcoded.
Govern every agent action by default
Every agent action is audit-logged. Role-based access controls determine what agents can touch. Replay any agent run, see every decision point, and intervene. SSO, RBAC, and VPC self-hosting extend to every AI app and workflow automatically.
“How ClickUp automates GTM operations with custom AI apps — reducing AI development time by 7x”
How ClickUp reduced AI development time by 7x
Everything you need to build, deploy, and govern AI agents at scale
Autonomous agents
Build agents that plan, reason, and complete multi-step tasks. Configure instructions, attach tools (database queries, API calls, workflows, web search, email), choose your LLM, and deploy. Agents observe, decide, and act without step-by-step scripting.
AI-powered workflows
For more predictable processes: chain AI steps with data transformations and business logic. LLMs handle the reasoning; workflows handle the orchestration. Schedule, trigger on events, or invoke programmatically.
Any LLM, your choice
Native connectors to OpenAI, Anthropic, Google Gemini, Amazon Bedrock, and Azure OpenAI. Switch models per agent based on cost and capability. Pay only for agent runtime.
Built-in vector database and RAG
Store and query proprietary documents, knowledge bases, and business context. Agents reason with your data, not just their training data. No separate vector database to manage.
Document intelligence
Extract structured data from PDFs, forms, and unstructured text. Compare against database records. Flag discrepancies. Route for human review or auto-resolve.
Human-in-the-loop controls
Define approval gates at any step. Routine cases complete autonomously. Edge cases surface to a Retool app for human review and action. The boundary is configurable, not hardcoded.
Full observability
Replay any agent run. See every reasoning step, tool call, and decision. Debug failures. Track performance over time. Audit logs capture every action for compliance.
Enterprise security by default
SSO, RBAC, VPC self-hosting. Security policies set at the platform level apply to every AI app and agent automatically. Agents can only access what their permissions allow.
AI-native UI components
Agent Chat, AI query generators, natural language to SQL, and other AI-enabled components for embedding intelligent interfaces directly into apps your team already uses.
Common questions about AI agents & intelligent automation
Retool agents query your databases, call your APIs, update your CRM, route tickets, extract data from documents, and complete multi-step workflows from start to finish. They don't just advise — they act in your actual production systems.
Define approval gates at any step in the agent's workflow. Routine cases complete autonomously. Edge cases surface to a Retool app where a human can review context, make a judgment, and take action. The boundary is configurable per agent.
Retool has native connectors to OpenAI, Anthropic, Google Gemini, Amazon Bedrock, and Azure OpenAI. You can switch models per agent based on cost and capability requirements, and add proprietary context via the built-in vector database and RAG.
Every agent action is audit-logged. Role-based access controls determine what agents can access. You can replay any agent run and see every decision point. SSO, RBAC, and VPC self-hosting apply to every AI app and workflow automatically — no per-agent security configuration.
Days, not months. ClickUp reduced AI app development time by 7x with Retool. Power Digital went from months to days per AI project. Retool's visual builder, prebuilt components, and AI-assisted generation mean engineers spend time on business logic, not scaffolding.
Yes. Retool includes a built-in vector database for storing and querying proprietary documents, knowledge bases, and business context. Agents reason with your data — not just their training data. No separate vector database to manage.
