The reasoning layer owns intent. The control plane owns consequences. Seven factors for governing what AI agents do to enterprise systems of record.

Landing page and hub repo for Workato Labs — an open-source developer toolkit for building, validating, visualizing, and managing Workato recipes with AI coding agents.

Connector-specific knowledge for AI coding agents building Workato recipes. Datapill syntax, field mappings, control flow patterns, error handling, and schema design. Also home to connector-specific wk lint rules.

Scoop manifests for the Workato Labs developer toolkit.

Homebrew formulae for the Workato Labs developer toolkit.

Fast, single-binary CLI (Go) for managing Workato recipes, connections, and workspaces. Pull, push, diff, and validate from your terminal. Extensible via plugins — linters, recipe skills, custom workflows.

Deterministic recipe validation, shipped as a wk plugin. Catches datapill syntax errors, schema mismatches, and structural issues that agents can't self-validate. Runs on wk lint and automatically before wk push.

Sample application for Enterprise MCP server architecture. Built with Workato Enterprise MCP. Hospitality use case, with customer- and employee-facing agentic experiences.

The Workato Platform CLI

Benchmark tool to optimize for single vs multi agent workloads