For enterprise IT and ops teams integrating dozens of systems, Workato is an iPaaS that lets you build 'recipes' — automated workflows connecting your business applications — with the governance and scale enterprise deployments require.

Presence & Market Position

22
SOV Score

#14 of 22
Orchestrators & Agentic Workflow

▼ 44 60-day move

Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →

Workato is working to own the governed orchestration layer between enterprise applications, internal agents, and external AI clients. Its market position is strong and rising, with conversation spanning enterprise automation comparisons, connector depth, Salesforce support, pricing, and the governance burden that arrives with agent deployment. Practitioners also describe Workato as part of the operating layer that helps teams research accounts, accelerate inbound follow-up, and shorten new-rep ramp time. The discussion reaches beyond recipes into how large companies connect AI execution to existing systems without giving up control.

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Customers

Box, Toast, ThredUp, Adevinta, Gulf Marine

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Business Profile

Founded in 2013, Workato has grown into a large independent automation company with roughly 1,410 employees, $415 million in funding, and a $2.1 billion valuation in 2026. The business developed around enterprise integration and recipe-based workflow automation, then expanded into orchestration and governed agent execution. Workato now serves large organizations that need shared controls across many business applications, using its established connector and workflow foundation to carry identity, access, rate limits, and auditability into AI-driven operations.

Founded
2013
Employees
1,410
Funding
$415M
Valuation
$2.1B (2026)
Status
Independent
Scale stage
Scaled
GTM Categories
OrchestrationGTM Developer Tools
Key people
Co-founder & CEO

Agent Readiness

70B
Agent Readiness
APIMCPSDKCLI

Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →

Workato's agent strategy connects internal builders and external AI clients to the same governed automation layer. Agent Studio lets teams build agents that act across business systems, while Workato MCP can expose recipes, API collections, functions, and skills to compatible clients. Identity-aware execution, access controls, rate limits, and audit trails carry existing enterprise governance into those agent actions.

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