Who are Workato?

Workato is often filed under the same heading as other integration platform as a service (iPaaS) vendors, but that label no longer captures what the company is building. Over the past two years Workato has repositioned itself around a distinction borrowed from network architecture: the control plane and the execution plane. The control plane governs what AI agents are allowed to do inside a business. The execution plane is where that work actually gets carried out, across the applications, data and processes an enterprise depends on. This piece looks at who Workato is, what the platform does, and how the control and execution plane model sets it apart from a traditional iPaaS.

Viewpoint Analysis helps businesses find the right technology fast, and helps vendors get found by the right buyers. Read on to learn more about Workato.

Who Are Workato

Workato was founded in December 2013 by Vijay Tella, Gautham Viswanathan, Harish Shetty and Dimitris Kogias, and is headquartered in California, with offices across Europe and Asia Pacific, including Bangalore, Dublin, London and Singapore. Tella, who leads the company as CEO, had previously helped build two large-scale integration products earlier in his career, and that background shows in the platform's continued emphasis on connecting systems that were never designed to talk to each other, whether that is a decade-old on-premise ERP or a brand new AI agent.

Workato has raised more than $400 million in funding from investors including ServiceNow, Insight Partners and Altimeter Capital, and now counts more than 10,000 organisations as customers, spanning IT, finance, HR, sales and support functions across manufacturing, retail, financial services, healthcare and technology sectors. The company has grown from a small team focused on making integration accessible to non-technical business users into an organisation of well over a thousand employees, and it has continued to expand its regional footprint, including a more recent move into Southeast Asia to support growth in that market. That growth has been matched by a steady widening of what the platform actually does, from a pure integration and automation tool in its early years to the broader control and execution plane it positions itself as today.

What Does Workato Do

Workato started as a cloud-native integration and automation platform built around what it calls recipes: low-code workflows that connect applications, trigger on real-time events, and move data between systems without requiring a full development team. That founding idea, that both IT and business users should be able to build automations, still runs through the platform today. The core integration engine connects thousands of pre-built app connectors, spanning cloud SaaS tools, on-premise systems and legacy infrastructure, alongside API management, B2B and EDI support for structured data exchange with trading partners, and data orchestration built for enterprise-scale reliability. Workflows can be mapped across multiple objects within a single pipeline, with parallel execution to keep large automations fast and automatic schema evolution so that a change in one connected system does not silently break a recipe elsewhere.

Sitting above that integration foundation is Workato's AI layer. Genies are AI agents built to work inside defined business processes rather than as open-ended chatbots, so a support Genie might summarise a ticket, retrieve account information, recommend next steps and trigger a governed workflow, while a finance Genie could review invoice context and route an approval according to existing business rules. AIRO is a separate AI assistant aimed at the people building and maintaining automations rather than the end users of them: it can update recipes based on natural language requests, or suggest ways to improve the cost, performance and security of existing automations. Most recently, Workato has added Enterprise MCP, a set of production-ready Model Context Protocol servers that let AI agents from different vendors access enterprise systems through a single, audited layer rather than through ad hoc, inconsistently scoped API calls, together with an open-source developer toolkit released through Workato Labs for teams that want to extend the platform themselves.

Technology Areas: Control Plane and Execution Plane

The idea of a control and execution plane comes from networking, where the control plane decides what is permitted and the data plane is where the permitted action actually happens. Workato has adopted that framing to describe what it thinks enterprise AI needs. As AI agents move from answering questions to taking action inside business systems, an organisation needs a layer that decides who can act, what they can act on, and how that action is logged, separate from the layer that carries the action out. A platform that only governs without executing, or only executes without governing, leaves a gap that stops AI agents being trusted with production work.

Workato positions its control plane as vendor-neutral, meaning it can govern agents built on models and platforms from several different providers rather than locking a business into one AI vendor. Identity and permissions are checked against the source system itself, so an agent only ever sees and touches what the underlying application would already allow that user to see and touch. On the execution side, Workato has built out Enterprise Skills: pre-built, governed business actions that an agent can call directly, rather than having the agent assemble its own raw API requests on the fly. The company argues this makes each new AI use case faster to deploy safely, because the governed actions and the audit trail already exist.

This is where the distinction from a traditional iPaaS becomes clearest. A conventional integration platform connects applications, moves data between them, and automates workflows, typically kicked off by a scheduled job, a form submission or a defined business event. Workato's newer positioning adds a governance layer on top of that same connective foundation, built specifically for a world where the thing initiating the workflow may increasingly be an autonomous AI agent rather than a person or a schedule. The underlying iPaaS capability, the connectors, the recipes, the reliability, has not gone away. It has become the execution plane that the control plane sits on top of.

The reason this distinction matters to buyers is less about terminology and more about risk. Enterprises experimenting with AI agents are increasingly running into the same set of questions: which systems can this agent actually touch, who authorised that access, what happens if the agent takes an unexpected action, and can that action be traced back afterwards. Handling those questions with a patchwork of individually secured API keys and bespoke scripts becomes harder to manage as the number of agents, systems and teams involved grows. A single governed layer that sits between the agents and the underlying business systems gives IT a consistent place to apply policy, rather than having to repeat that work for every new agent, model or use case that comes along.

Alternatives to Workato

Buyers evaluating Workato typically also look at other established iPaaS platforms. Boomi is a long-standing, mature integration platform with deep enterprise integration capabilities. Salesforce MuleSoft brings strong API management and is often the natural fit for organisations already heavily invested in the Salesforce ecosystem. Tray.ai and Celigo both offer low-code automation aimed at making integration accessible to business teams, while SnapLogic focuses on data-heavy integration and analytics use cases. Each platform brings a different balance of low-code accessibility, IT-grade governance and depth of pre-built connectivity, and the right comparison set depends on what a business already runs and how technical the teams building automations are expected to be.

💡 Learn more about the iPaaS Software Options in our latest report.

On the AI orchestration side specifically, some buyers compare Workato's control plane approach against platforms like Microsoft Copilot Studio and IBM watsonx Orchestrate, which take a more vendor-anchored approach to agent orchestration built primarily around their own ecosystems. That is a genuinely different starting point: those platforms tend to work best when one vendor already owns most of a business's core stack, whereas Workato is built around governing agents from several different AI vendors at once. The right fit depends heavily on existing tech stack, the number of AI vendors a business expects to govern over time, and whether the immediate priority is integration breadth, AI governance, or a genuine combination of both.

Customer Examples

Workato is used by organisations including HubSpot, Zscaler, Broadcom and Canva, each applying the platform in a noticeably different way.

HubSpot adopted Workato to eliminate redundant systems and build a self-service, scalable customer communications engine, aggregating data from disparate databases while still relying on HubSpot's own familiar tools for email building and metrics tracking. The team reported savings of $60,000 from the first day of use, and rather than keeping automation-building inside a single technical team, extended that access to 45 people across key business roles, treating automation as a shared capability rather than a specialist IT function.

Zscaler uses Workato to connect its data-loss prevention platform with everyday tools like Slack and Google Workspace, automatically coaching employees when a data security rule is triggered rather than simply blocking the action outright, giving staff the context to understand why something was flagged and how to handle it differently next time. Zscaler has since gone on to productise that same integration approach, offering it to its own customers as part of its broader data security proposition.

Broadcom's IT organisation has used Workato to automate employee onboarding and provisioning, supporting business continuity through periods of significant change including mergers and acquisitions and the shift to remote working. The team has pointed to reduced spending alongside a more consistent, higher-quality onboarding experience as a direct result of moving these processes onto automation rather than manual handling.

Canva took a deliberately decentralised approach, recognising that keeping all automation development inside one central team limits how widely a platform gets adopted. Instead, teams across the business, particularly in finance and HR, have been certified in Workato to build and own their own automations, and Canva now runs more than 110 automations created this way.

Suggested Next Steps

• Buyers wanting to shortlist Workato alongside comparable platforms can use the free, personalised Longlist Builder, powered by HUEY, Viewpoint Analysis' AI Technology Analysis Agent, to generate a tailored list of vendors in minutes with no registration required.

• For buyers who want a structured comparison rather than a self-serve tool, the Technology Matchmaker Service pairs a business directly with vendors genuinely suited to its requirements, based on independent analysis rather than vendor payment or preference.

  
  

• Organisations already running a formal selection process can bring Workato into a Rapid RFI, Rapid RFP or 30-Day Technology Selection engagement through Viewpoint Analysis' Technology Selection Services, keeping the evaluation structured and comparable against other shortlisted platforms.

  
  

• Finally, any business ready to talk through its integration or AI governance requirements directly can request a call with Viewpoint Analysis. There is no cost and no obligation, and the conversation is never influenced by vendor payment.

Vendor Verified

This profile is compiled from Workato's own published material and independent, verifiable customer sources. If you are part of the Workato team and want to confirm details, add context, or flag anything that has changed, Viewpoint Analysis welcomes vendors reaching out to keep profiles accurate and current.