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Workato Enterprise AI Control Plane

Get your Agents in Order

Workato Enterprise AI Control Plane sets the rules for what AI can access, do, and spend across every platform you build on.

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WORKS WITH ANY AGENTIC PLATFORM YOU BUILD ON:
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WorkatoawsmicrosoftGoogle ClouddatabrickssnowflakesalesforceopenaianthropicGeminiservicenowsapworkdayatlassianhubspotzendeskgleanmistralcoherelangchainn8ncrewai

Scattered AI controls are wasting your money and introducing risk.

Your agents work across all of your platforms, but each one only governs its own piece. No shared budget means wasted spend. No shared policy means risk.

  1. Cloud

    Own rulesOwn logs
  2. Data platforms

    Own rulesOwn logs
  3. Model providers

    Own rulesOwn logs
  4. Business apps

    Own rulesOwn logs

The result:

1Wasted money

Premium models doing routine work
Runaway usage found on invoice, not in an alert
No way to tell which team or agent ran up the bill

2New risk

Agents allowed to read data can also act on it
Sensitive data sent to unapproved or out-of-region models
Agents and MCP servers no one approved or owns

Workato's Enterprise AI Control Plane manages your cost and risk.

Enforce access policies, set spending boundaries, and know what your agents are doing across every platform.

1Control cost

See what AI costs, set the limits, and route each request to the right model.

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Product documentation →
API policy with rate limiting, quotas, and data masking
Spend by consumer: tokens, requests, and top consumers
AI Gateway: requests, tool calls, MCP servers online, and success rate
AI registry: MCP servers and agents
2Control risk

Know which AI assets exist, who can reach what, and what every call did.

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Product documentation →
API policy with rate limiting, quotas, and data masking
Spend by consumer: tokens, requests, and top consumers
AI Gateway: requests, tool calls, MCP servers online, and success rate
AI registry: MCP servers and agents

Your agents cross platforms, so your controls should, too.

Every vendor governs its own platform. Controlling AI across all of them takes five requirements, met end to end in a layer that isn't tied to any one vendor.

Discover
Catalog registered AI assets, identify ownership, and make approved resources easier to find.
Govern
Apply shared policies to model access, tool use, and consumption on managed paths.
Secure
Control which users and agents can access enterprise tools and resources.
Observe
Inspect activity, policy decisions, errors, and usage across governed traffic.
Measure
Understand consumption and attribute usage and cost to responsible teams.
Any agent, any platform

Works with agents built on any platform, not only Workato's.

Keeps your controls

Native platform permissions stay in place. Workato adds the shared layer.

Plugs into your stack

Identity, security, and audit systems stay connected: Okta, Entra ID, Splunk, Datadog.

Workato is the vendor-neutral platform built to meet all five requirements.

Frequently asked questions

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Ready to govern your AI?

See how Workato governs AI across your platforms.