Centralized AI and workflow governance
Manage models, agents, workflows, APIs, and MCP interactions through centralized identity, policy, approval, security, observability, and cost controls.
Workato
An enterprise platform for connecting apps, data, workflows, and AI agents.
What is Workato?
Workato is an enterprise integration and automation platform that connects applications, data, workflows, APIs, databases, files, and AI agents in one environment. It combines a control plane for identity, policies, approvals, security, observability, and cost controls with an execution plane for orchestration and runtime operations. Organizations can use Workato to build, deploy, operate, and govern integrations, workflows, models, MCP interactions, and agentic solutions at scale. Teams should test connected actions, access policies, and AI outputs against their own business requirements before production use.
What can Workato do?
Agent and integration orchestration
Coordinate agents, MCPs, data, applications, and APIs through deterministic orchestration for multi-step business processes.
Broad connectivity
Connect to more than 17,000 apps, APIs, databases, files, and MCP servers without managing custom infrastructure.
Context Graph
Bring together enterprise data, applications, and process context for use in AI and workflow decisions. Review the relevant context and output before using it in production.
Model routing and token controls
Route work across open-source, closed-source, and fine-tuned small language models, while using Enterprise Skills, Enterprise MCP, and AI gateways to govern AI consumption.
Elastic enterprise runtime
Run integrations, workflows, and agents on a managed runtime designed for enterprise scale and reliability.
Use Cases
“Govern enterprise AI deployments”
Give teams a centralized way to apply identity, security, approvals, policies, observability, and cost controls as they build and operate AI agents and model interactions.
“Connect distributed business systems”
Link applications, databases, files, APIs, and MCP servers so data and actions can move across enterprise processes without building separate custom infrastructure for each connection.
“Operate multi-agent solutions”
Discover, build, deploy, and monitor agentic solutions that coordinate agents with enterprise data, applications, APIs, and workflows.
“Scale workflow automation”
Run deterministic business process orchestration and integrations on an elastic managed runtime as automation expands across teams and platforms.
Frequently Asked Questions
What does Workato connect?
Workato connects apps, APIs, databases, files, MCP servers, data, workflows, and AI agents. The website states that its connectivity layer supports more than 17,000 apps and other endpoints.
Does Workato support AI agents?
Yes. Workato supports discovering, building, deploying, and operating multi-agent solutions, as well as governing models, agents, and MCP interactions.
How does Workato govern AI and automation?
Its control plane provides centralized identity, policy, approvals, security, observability, and cost controls for models, agents, workflows, APIs, and MCP interactions.
How can a team evaluate enterprise fit?
Schedule a demonstration to discuss your integrations, workflows, AI controls, and deployment needs. The documentation and Workato Academy provide guidance for the platform, while the in-product Help panel connects users with support and workspace assistance.
Quick Facts
- Category
- Enterprise integration and automation platform
- Primary users
- Organizations building and governing integrations, workflows, and AI agents
- Connectivity
- 17,000+ apps, APIs, databases, files, and MCP servers
- Platform model
- Control plane plus execution plane
- Runtime
- Managed elastic runtime for enterprise-scale operations
- Pricing path
- Discuss enterprise requirements and plans with sales.
Workato Traffic Analysis
Traffic data is for reference only.
- Domain Rating
- 81
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