Retool AI

Retool AI is the artificial intelligence and AI application-building layer within Retool, a platform designed for creating production-ready business applications, internal tools, workflows, and AI-powered agents. It allows organizations to combine AI models with their own business data, APIs, databases, and operational systems rather than relying on standalone AI tools. Retool positions the platform around building software that can be deployed with authentication, permissions, data governance, and other enterprise controls.

Retool AI was introduced in 2023 as a suite of features for building bespoke AI-powered applications and workflows. The platform has since expanded into a broader AI-native application-building environment. Its current app builder can use natural-language prompts to generate applications, make code changes, and modify application themes, while developers can continue editing generated applications manually.

One of the main strengths of Retool AI is its ability to connect AI functionality directly to company data. Teams can connect databases, APIs, SaaS applications, and other resources and use that information as context for AI-powered applications. Retool’s AI capabilities can therefore be used for applications that need access to operational information rather than only generating isolated text or responses.

Retool AI supports a range of AI model providers, including OpenAI, Anthropic, Google Gemini, Amazon Bedrock, Azure OpenAI, Cohere, and custom AI providers. Organizations can configure their preferred AI resources and, depending on their setup, use models hosted through their preferred cloud infrastructure or custom endpoints. This gives development teams flexibility when choosing models for particular applications.

The platform can be used to create AI chat interfaces, intelligent internal tools, automated workflows, document-processing systems, data-analysis applications, support tools, and other business applications. Retool’s original AI launch highlighted examples such as support chatbots, sentiment analysis, content moderation, ticket categorization, labeling workflows, and sales CRM automation.

Retool Agents extend the platform beyond conventional AI actions by allowing teams to build, test, deploy, evaluate, and monitor AI agents. Agents can use workflows and other agents as tools, while integrations through MCP can provide access to external systems such as GitHub, Slack, Cloudflare, Stripe, and Docker. This makes Retool suitable for building AI systems that can perform multi-step business tasks rather than simply return generated content.

Retool AI also incorporates retrieval and business-data capabilities. Retool Vectors can provide vector storage for unstructured information, allowing AI applications to use company-specific knowledge. Teams can combine this with databases, APIs, and other data sources to create applications with more relevant business context.

Another important aspect is governance. Retool provides controls for managing access to applications, resources, workflows, and agents. AI functionality can be restricted or disabled at the organization, application, or permission level. Enterprise capabilities include SSO, role-based permissions, audit logging, source control, monitoring, and deployment options that include managed cloud and self-hosted environments.

Retool also supports both visual development and code. Developers can use AI-generated application structures as starting points and then refine them with code. The platform’s newer app-building experience supports AI-assisted development, while the wider Retool ecosystem includes workflows, agents, databases, APIs, mobile applications, and integrations.

For businesses, this makes Retool AI particularly useful when AI needs to interact with existing operational systems. Instead of building an AI interface separately and then developing integrations around it, teams can create the interface, connect it to company data, add workflows or agents, and deploy it within the same governed environment.

Retool is therefore positioned less as a general-purpose consumer AI chatbot and more as a platform for building customized AI software around business processes and data. It can serve developers, business engineers, analysts, operations teams, and organizations that need to turn AI capabilities into controlled production applications.

Pricing

Retool currently offers Free, Team, Business, and Enterprise plans. The Free plan costs $0 and supports up to 5 users, 500 workflow runs per month, 5 GB of database capacity, 5 GB of file storage, up to 20 agent hours per month, and 250 AI credits per month. Team starts at $10 per month per builder and $5 per month per internal user when billed annually. Business starts at $50 per month per builder and $15 per month per internal user when billed annually. Enterprise uses custom pricing.

AI credits are included across Retool plans and cover app building and AI Actions. Credits are pooled at the account level, renew monthly, and additional credit packs are available on paid plans. Enterprise customers can also use their own API keys for AI models. Agents are billed separately.

Review

Retool AI is designed for organizations that need to turn AI capabilities into working business software rather than simply experiment with standalone AI prompts. Its combination of AI app generation, model-provider flexibility, data connections, workflows, agents, and governance makes it suitable for technical teams building internal and operational applications.

A major advantage is the direct connection between AI and business data. Retool can work with databases, APIs, SaaS applications, and other resources, allowing AI applications to operate with information that already exists inside an organization. Its broad model support also gives teams options when selecting AI providers.

The platform is particularly useful for teams that need control over how AI applications are deployed. Permission controls, authentication, audit logging, self-hosting options, and enterprise governance can be important when AI applications interact with sensitive business systems.

The main consideration is that Retool AI is primarily designed around business application development. Users who only want a simple conversational AI assistant may find the broader Retool platform more extensive than necessary. Costs can also increase as organizations add builders, users, AI credits, agents, and enterprise capabilities.

For teams building custom AI applications, internal tools, operational workflows, or AI agents connected to real business systems, Retool AI provides a broad development environment that combines AI with application development and enterprise controls.