Why Enterprise MCP is the Control Plane for AI

AI has officially arrived in the enterprise, but bringing it into production is proving harder than anyone expected. Models can think, agents can act, yet most organizations still struggle to connect them to the systems and data that make their work meaningful.

The reason is simple, enterprise architecture was built for transactions, not intelligence. AI moves faster than the infrastructure it runs on. It requires an architecture that can connect systems, orchestrate context, and control how agents interact with the business.

That’s where Workato Enterprise MCP comes in.

Why AI Needs a Control Plane

In the early wave of AI adoption, the focus was on experimentation. Teams built pilots using vendor-specific copilots or open models, each operating within its own silo. But as these agents began to multiply, so did the risks and the limitations.

Without guardrails, agents can access the wrong systems, expose sensitive data, or act without oversight. Enterprises quickly discovered that deploying AI at scale requires more than clever prompts. It requires governance, context, and control.

A control plane provides that foundation. It acts as the secure bridge between AI and the enterprise, allowing models and agents to interact safely with business systems through governed endpoints. Every action is authenticated, authorized, and observable.

Think of it as the connective tissue that keeps AI grounded in enterprise reality.

Introducing Workato Enterprise MCP

Workato Enterprise MCP is that control plane. It is a fully managed, production-ready environment that makes AI safe and scalable from day one.

Built on Workato’s proven cloud-native architecture, Enterprise MCP securely exposes enterprise “skills” – the data, workflows, and actions that AI agents can perform – within clear policy guardrails.

It ensures that agents only act within defined boundaries, while every interaction is logged, governed, and monitored in real time. Enterprise MCP transforms isolated AI pilots into enterprise-grade operations.

The Workato ONE architecture diagram

With Enterprise MCP, enterprises can:

  • Connect AI agents to real business systems securely and instantly
  • Expose enterprise workflows as reusable, governed “skills”
  • Control access through authentication, permissions, and audit trails
  • Observe and manage all agent actions from a single interface
  • Scale safely across teams, use cases, and business units

This is how AI moves from experiment to execution.

The Three Value Pillars of Enterprise MCP

Workato Enterprise MCP is built on three architectural pillars that turn AI from unpredictable to reliable: Secure, Scalable, and Accurate.

These pillars define what agents need to operate safely in the enterprise.

1. Secure: Enterprise Trust

Enterprise Trust is the security, governance, and compliance architecture built into every layer of the platform. Most open source MCP servers have no identity, no RBAC, no auditability, and no observability, which creates an immediate approval barrier for CISOs.

Enterprise MCP solves this with:

  • Runtime user authentication
  • Role based access control
  • Automatic PII masking
  • Full audit trails
  • Field level security
  • SOC2, PCI, and ISO compliance

Why it matters: AI agents become trustworthy only when every action is authenticated, authorized, and observable. Enterprise Trust prevents unsafe actions at runtime. Security is enforced by design, not bolted on later.

2. Scalable: Enterprise Orchestration

Agents need more than API calls. They need the ability to coordinate multi-step, multi-system work with state, context, and transactional control.

Enterprise MCP provides this through:

  • Stateful execution
  • Transactional integrity
  • Real time event coordination
  • Multi-system orchestration
  • Persistent context across sessions

Why it matters: Agents cannot complete end to end business processes if they lose context or break in the middle of a workflow. Enterprise Orchestration gives them the continuity and coordination required to deliver complete business outcomes.

3. Accurate: Enterprise MCP Skills

Agents calling raw APIs often guess their way through work. They improvise logic. They break across complex, multi step workflows.

Enterprise MCP solves this with Enterprise MCP Skills. A skill is a pre orchestrated business action that encapsulates logic, approvals, data handling, retries, and error recovery into a single reusable unit.

Examples include:

  • process refund
  • onboard employee
  • reset password
  • create quote
  • route ticket

Why it matters: Skills replace improvisation with reliable execution. The agent no longer assembles work step by step. It calls a proven capability that performs consistently and safely every time.

How Leading Enterprises Are Using It

Canva used Workato Enterprise MCP to safely deploy AI agents across 500 employees. Early experiments with raw MCP exposed control gaps: no governance, no audit trails, and no visibility into what agents were touching. Workato Enterprise MCP closed those gaps. With built-in knowledge graphs and governed workflows, Canva saved 30,000 hours of manual work and achieved over $1 million in annualized return. Learn more about their journey at ComputerWeekly.

Samsara faced a similar challenge in IT support. Their internal agent could chat, but it couldn’t act. By using Workato Enterprise MCP, Samsara gave their AI agents real enterprise skills: automating provisioning, hardware requests, and approvals. The result was 85 percent ticket deflection and a 94.9 percent satisfaction rating. Learn more about their journey here.

A global telecommunications provider serving more than 300 million customers used Workato Enterprise MCP as its centralized intelligence layer. It now orchestrates hundreds of agents across systems like ServiceNow, SAP, and Salesforce, all governed within a single control plane.

An example of Workato as the intelligent integration layer of a major telecom provider.

These companies are proving that AI at scale is not about more models, it’s about better architecture.

The Next Step in Intelligent Orchestration

As AI becomes part of daily operations, enterprises need a way to manage how agents access systems, data, and people. The control plane will become as essential to AI as the network became to the internet.

Workato Enterprise MCP delivers that control. It gives agents the three capabilities required to operate safely in the enterprise:

  • Secure through Enterprise Trust
  • Scalable through Enterprise Orchestration
  • Accurate through Enterprise MCP Skills

Models already know how to think. With Enterprise MCP, they can act with the guardrails the business requires.

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