Celigo, the intelligent automation platform built for AI, announced Celigo Ora, a first-of-its-kind natural language interface that gives every team direct access to build, manage and govern automation across their business systems. Ora, alongside the new Agent Builder capability, directly addresses the specialist bottleneck and enables enterprises to scale automation beyond isolated use cases into governed, real-world operations.

Celigo Ora serves as the new gateway to the entire platform. Powered by a network of specialized agents with full context across a business, Ora understands the systems, workflows and data behind every prompt. Anyone can now design, build and modify integrations, troubleshoot errors, and manage operations simply by describing what they want to achieve. Every action is previewed, governed, and auditable, enabling teams to move faster without sacrificing control.

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Agent Builder provides a low-code environment for creating automations that can reason through tasks and take action across systems. Paired with Celigo’s model context protocol (MCP) server, a standard for secure, real-time AI connectivity to enterprise systems, teams can run the full spectrum of automation on a single platform – from structured rules-based logic to adaptive AI agents.

“Enterprises are under pressure to move AI from experimentation to production – but most lack the infrastructure to do it safely at scale,” said Matt Graney, Chief Product Officer at Celigo. “Ora and Agent Builder change that. Any team can now describe what they need to put into production, from simple integrations to autonomous agents, while IT maintains the control and governance the enterprise requires.”

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Bridging the Operational AI Gap

As enterprises experiment with AI-driven workflows, many struggle to operationalize and scale them beyond early pilots. New research from MIT Technology Review Insights, in partnership with Celigo, found that while 95% of executives expect AI autonomy to increase, only 1% of companies that lack a unified integration strategy have successfully scaled AI beyond a single department. Conversely, 90% of organizations with successful AI workflows in production already utilize an integration platform.

“Celigo MCP provides a standardized framework to securely connect our AI agents to broader enterprise systems,” said Frank Scilia, Chief Information Officer at Egnyte. “This enables us to scale Egnyte’s workflows while maintaining our governance standards.”

With Ora and Agent Builder, Celigo extends enterprise iPaaS into a new category that enables a fundamentally different way to automate. Key capabilities include:

• Celigo Ora: A conversational interface powered by scores of specialized AI agents that understand the full spectrum of business operations. Anyone can build workflows, troubleshoot issues, modify configurations and manage automations without relying on IT or specialized expertise;
• Built-in Governance: Human-in-the-loop approvals, runtime guardrails and complete auditability to ensure every action is controlled, compliant and transparent.
• Agent Builder: A low-code environment for creating AI-driven automations that can reason through tasks and take action across enterprise systems, with configurable guardrails to ensure alignment with business policies; and
• Enterprise MCP Server: Secure, governed connectivity between AI agents and enterprise systems, enabling auditable, real-time interaction with business data.