In today’s digital economy, technology is no longer just a business enabler—it’s the engine driving growth, differentiation, and resilience. Organizations across industries are under pressure to move faster, respond to everchanging customer expectations, and innovate continuously—all while operating at scale. Businesses are automating more processes than ever before, spanning across finance, HR, IT, sales, and customer experience teams.
From processing orders and onboarding employees to managing global supply chains and launching customer engagement campaigns, success hinges on the ability to rapidly automate complex, repetitive processes across the entire business. But as these needs grow in scope and urgency, IT teams are expected to deliver scalable, secure, and intelligent solutions at a pace that manual development can’t keep up with.
AI is the Only Path Forward
To meet these demands, companies are turning to integration and automation platforms that enable enterprise-wide orchestration—seamless connectivity and workflow automation across applications, data, teams, and departments. But orchestration at scale can’t be achieved through conventional means alone. The complexity is too high, and the speed of business is too fast.
That’s where Workato AI comes in.
But not just any AI.
While many vendors claim to have AI capabilities, most treat AI as an add-on—a loosely connected feature or external service that operates adjacent to the platform. But, that just won’t work. To create lasting impact, AI must move to the core — embedded into how enterprises connect systems, adapt workflows, and drive real-time decisions.
Workato Orchestrate has embedded AI throughout the entire automation fabric—from the core infrastructure to the user interface—ensuring that intelligence isn’t just a bolt-on, but a foundational layer powering every part of the experience. Let’s take a closer look at how AI is embedded across Workato’s Enterprise Orchestration Platform.
AI Copilots
Many integration platforms claim their ease of use comes from a drag and drop integration design builder, but in today’s market this is just table stakes. While visual design can reduce development time compared to hand coding, it doesn’t fundamentally change how fast or intelligently teams can build and scale their integrations.
Workato goes far beyond visual design builders with copilots, AI-powered assistance built into the platform that help users design, build, and optimize integrations using natural language prompts. Whether you’re automating employee onboarding, syncing customer data, or creating custom API flows, copilots can generate actions, map fields, write expressions, and explain complex logic–reducing the time and expertise required to go from idea to execution.
Customer Success Story: Marel Scales Hyperautomation with Workato Copilots
Marel, a global leader in food processing technology, has embraced Workato to transform and scale its hyperautomation initiatives. By centralizing automation expertise and delivering over 40,000 hours of automation annually through a team of 40+ AI agents, powered by Workato, Marel is driving operational excellence across its business units.
The Role of Copilots
Workato Copilots are at the core of Marel’s enterprise orchestration for building smarter, faster automation. According to Sander de Glopper, IT Hyperautomation Center of Excellence Lead, Copilots empower his team—and now, a broader group of users—to design automations with ease and precision.
Real-World Impact
A key win for Marel was optimizing spare parts management across 14+ locations. Using Workato, they unified ordering processes between sales offices and a global distribution center, enabling seamless spare parts delivery worldwide.
With copilots and agentic automation on the horizon, Marel sees continued opportunity to democratize automation across the business and maximize productivity from both experts and end users.
AI Workflows
We talked about how Workato Copilots revolutionized how developers and business users design integrations, AI workflows is another component of enterprise automation and orchestration. AI enhances traditional rule based workflows by:
- Adapting workflows to evolving business environments without the need for manual updates
- Empowering users to embed large language models (LLMs) like OpenAI, Google Gemini, and Azure OpenAI directly into automations
- Enhancing workflows with AI-driven classification, summarization, and data extraction
By infusing AI into predefined processes businesses can ensure accuracy and consistency without relying on human intervention for tasks like categorizing support tickets, mapping data across multiple systems while preserving data integrity, document summarization, and more.
Customer Success Story: Allens Transforms the Client Experience with Workato AI and Automation
Allens, is an international law firm with award-winning practice areas throughout Australia and Asia with over 1,300 employees across 8 offices. Allens made strides in automation tools like RPA and their own internal chatbot. However, the UI based automation became fragile and difficult to maintain, so Shane Rigney, Head of Head of Automation Development, turned to Workato. Workato showed Shane a demo of a fully automated onboarding process which showcased seamless orchestration across apps, data and actions using a combination of deep integration and AI.
The Role of Workato AI Workflows
Allens tapped into Workato’s AI workflow capabilities including its OpenAI connector to add intelligence and context to its automations. Leaning into AI, Allens was able to unlock knowledge in a more intelligent, secure, and personal way. With AI-infused workflows, the team can:
- Automatically triage and monitor issues that previously needed manual review
- Extract context from data and suggest actions to reduce decision-making time
- Enable proactive, resilient automations that detect and resolve RPA issues before they impact operations
Real-World Impact
The intelligent automation layer has become essential for supporting finance, IT, and client services at scale. By connecting Marketo with legacy marketing systems, Allens unlocked real-time data syncing without human intervention. Shane’s team replaced static forms with quick, in-chat automations creating a seamless, intuitive experience for users. Additionally, Allens through a partnership with Mindfields, deployed MindAssist on Workato to monitor RPA bots, flag issues, and automatically create support tickets when needed.
By integrating AI into their integration strategy, Allens has transitioned from reactive automation to intelligent orchestration where data, apps, and decision logic are connected across the firm enabling faster action and a better user experience.
Intelligent Document Processing (IDP)
Even as organizations make strides in automating structured data workflows, there is still a lot of data that lives in unstructured formats (e.g., PDFs, emails, scanned invoices, contracts, and more). This can create an automation bottleneck that requires human intervention to read, interpret, or input. Workato embeds AI-powered IDP directly into your workflows, using technologies like NLP, OCR, and machine learning to extract, classify, and validate information from any document type. By making unstructured data usable, IDP becomes a force multiplier for enterprise-wide automation and orchestration by:
- Extracting and routing data from invoices, contracts, forms, and emails automatically
- Eliminating manual data entry to reduce errors
- Accelerating decisions with key use cases in finance, legal, HR, and customer operations
By transforming documents into structured data in real time, IDP closes the gap between information and action–and being reactive and proactive. IDP is a foundational AI capability built into the Workato Orchestrate platform that enables automation at scale across the entire business.
As businesses push toward more intelligent automation and orchestration, the limits of platforms without AI embedded into their core becomes clear. Inefficective, inadaptive workflows and disconnected AI tools can’t keep up with the complexity, speed, and power that the market demands. What’s needed isn’t just more automation, it’s intelligent automation. That’s why Workato has built AI into the DNA of the Workato Orchestrate platform. From copilots to help you build integrations, to AI workflows that can interpret, classify, and make decisions, and IDP that unlocks unstructured data, Workato makes it possible to go beyond task automation to true enterprise orchestration.
This blog is the first installment of our series, AI at the Core. In future blogs we’ll explore how embedded AI is transforming how teams build, scale, and evolve automation. Stay tuned for more.
