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Celigo Ora

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About Celigo Ora

Celigo Ora is a natural language interface built into the Celigo intelligent automation platform that lets users build, modify and troubleshoot integrations, APIs, AI agents and MCP servers by describing what they want. It is built for IT specialists, business technologists and operations teams who need to build or fix automations without waiting on a dedicated integration team.

A user describes the automation needed, and Ora generates the steps, connections, mappings and logic, then stages every change for review; nothing takes effect until it is approved. Ora also builds a live knowledge graph of the account's integrations, flows, connections and dependencies, which it uses to trace an error back to its root cause across multiple systems.

Celigo Ora is built as a system of specialized AI agents for flows, connections, integration error management, scripts and APIs, with an orchestration layer that routes each request to the right specialist. Its Agent Builder lets teams define instructions, tools and multi-step logic in low-code, while runtime governance enforces approvals, guardrails and complete audit trails on autonomous agents, and MCP Management governs every AI agent and LLM connection centrally.

Celigo is offered in Standard, Professional and Enterprise editions, each including Celigo Ora, role-based access controls and SLA-backed support, with pricing available on request. Standard Edition performance is capped to match the connected application's own API limits, Professional adds SSO and a sandbox, and Enterprise is built for enterprise-wide automation with the fastest SLAs.

Use cases

  • Reconciling Amazon settlements against an ERP automatically
  • Re-checking discount floors per SKU on a weekly basis
  • Flagging oversold SKUs before an order fails to ship
  • Answering wholesale buyer availability requests instantly
  • Watching order velocity to flag stockout risk early
  • Diagnosing the cause of a declining product's sales

Key features

  • Builds and modifies flows, APIs, AI agents and MCP servers from natural language
  • Stages every change for approval before anything takes effect
  • Builds a live knowledge graph of the entire account
  • Traces integration errors to their root cause via audit logs
  • Multi-agent system covering flows, connections, scripts and APIs
  • Agent Builder defines instructions, tools and multi-step logic without custom infrastructure
  • Runtime governance enforces approvals, guardrails and audit trails
  • MCP Management governs every AI agent and LLM connection centrally
  • Prebuilt AI agent blueprints for commerce operations
  • Works with any LLM a customer already uses

Pros and cons

Pros

96% of exceptions resolve without manual intervention
Handles over 60 billion transactions a month across customer workflows

Cons

Standard Edition performance is capped to the connected app's API limits

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