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Workato is an enterprise integration and orchestration platform for agentic AI, connecting AI agents to business apps through Enterprise MCP. Secure workflows, trial and demo.

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Enterprise MCP for agentic AI

Workato is an enterprise integration and orchestration platform positioned around agentic AI. Its homepage describes Workato Enterprise MCP as the orchestration layer for AI agents, built on the #1 iPaaS, with connections to 14,000+ business apps.

The product is aimed at teams that want AI agents to interact with business systems in a controlled way. Workato emphasizes secure, scalable workflows, and its site points buyers to both a trial and a sales/demo flow for evaluation.

Core capabilities

Enterprise MCP layer for agents

Connects AI agents to enterprise systems through Workato Enterprise MCP, which the homepage describes as the orchestration layer for AI agents.

Large app connectivity base

Supports workflows across 14,000+ business apps, giving teams a broad integration surface for agent-driven automation.

iPaaS foundation

Positions the platform as built on the #1 iPaaS, signaling that orchestration is paired with integration-platform infrastructure.

Security and scalability focus

Emphasizes secure and scalable agentic AI workflows, indicating it is intended for enterprise use rather than small one-off automations.

Trial and demo access

Offers trial and demo entry points, letting teams evaluate the platform before committing.

Flexible pricing model

Uses a flexible, predictable, and transparent pricing model according to the pricing page.

Common ways teams use Workato

  • Connect agents to enterprise systems

    AI teams can connect agents to business apps so the agent can retrieve data, trigger actions, or move work across systems under an orchestration layer.

  • Orchestrate cross-app workflows

    Operations and automation teams can build workflows that span many business applications instead of managing point-to-point integrations.

  • Evaluate agentic AI infrastructure

    Organizations evaluating enterprise AI infrastructure can use the demo and trial paths to assess fit before rollout.

  • Plan secure enterprise deployment

    Teams that need a controlled integration layer can use the platform’s enterprise positioning and security/scalability focus as the basis for deployment planning.

Pros and Cons

Pros

  • Connects AI agents to a large app ecosystem, including 14,000+ business apps.
  • Frames orchestration as enterprise-oriented, with security and scalability emphasized on the homepage.
  • Provides multiple evaluation paths, including trial and demo entry points.
  • Presents pricing as flexible, predictable, and transparent according to the pricing page.

Cons

  • The provided evidence does not show detailed integration lists or implementation requirements.
  • Pricing information is described as flexible and transparent, but no actual prices or package limits are shown in the source text.

FAQ

What is Workato for?

Workato positions itself as an enterprise iPaaS and MCP layer for agentic AI, connecting AI agents to business applications and orchestration workflows.

Does Workato publish pricing?

The pricing page says Workato uses a flexible, predictable, and transparent pricing model, but it does not show prices in the provided evidence.

How many business apps does Workato connect to?

The homepage says Workato Enterprise MCP connects AI agents to 14,000+ business apps.

Can I try Workato before buying?

The pricing page and demo page both indicate that you can request a demo, and the homepage also offers trial and sales entry points.

Quick Facts

Category
Enterprise integration platform / agent orchestration
Platform focus
Enterprise MCP for agentic AI
App connectivity
14,000+ business apps
Pricing signal
Flexible, predictable, transparent model; no prices shown in evidence
Evaluation options
Trial, talk to sales, and request a demo
Source domain
workato.com