Enterprise Agentic AI: The Complete Workato Guide
Workato's control and execution platform governs every agent action and executes the work across 14,000+ applications.
From brittle automation to governed agents
Enterprise agentic AI is the deployment of AI agents, MCP servers, and orchestrated workflows that take autonomous, governed action across enterprise systems. Unlike traditional automation—deterministic, rule-based, and brittle at the edges—agentic AI applies judgment to achieve goals, adapts to variable inputs, and coordinates across tools and systems.
The risk without governance is real: teams deploying independent agents with separate access credentials, no shared audit trail, and inconsistent security postures create what Workato calls agentic sprawl. One control surface and one audit trail is the enterprise answer to this problem.
The Workato Platform
Workato is the Control and Execution Platform for enterprise AI. Two planes, one platform:
Govern
Control Plane
Governance for every AI action: RBAC, audit logs, data masking, guardrails, approvals
Execute
Execution Plane
The work itself: orchestration engine, 14,000+ app connections, composable MCP servers, any agent (buy, build, or bring)
Explore the Guide
AI Solutions
Design Patterns
Build Guide
MCP
Decisions & Best Practices
Start Here: The Decision Matrix
| Scenario | Use This |
|---|---|
| Structured, repeatable task with defined inputs | Orchestration (Recipe) |
| Task requires judgment across multiple systems | AI Agent |
| Expose business capabilities to external AI | MCP Server |
| Employee-facing guided interaction | MCP App |
| Always-on, multi-context companion | Digital Worker |
Not sure where to start? Read Agent vs. MCP vs. Orchestration — the decision framework that maps your use case to the right implementation pattern.