Celigo Advanced Capabilities: AI Agents & EDI | Entech
Capabilities

Beyond the Standard Connector

Some integration problems need more than field mapping and a scheduler. Entech builds on Celigo's AI Agent, MCP Server, and B2B Manager capabilities for the work that standard connectors do not cover.

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Capabilities

Two specialist practices

AI Agents & MCP Server

Live client deployments on both Celigo AI Agent and MCP Server.

Celigo AI Agents run inside your integration flows — they interpret unstructured data, make conditional decisions, and call external models like OpenAI or Claude mid-flow without offloading your integration logic. The Celigo MCP Server exposes your connected systems — NetSuite, Salesforce, Shopify — as structured tools that AI assistants can query in real time. Your internal AI does not touch your ERP credentials: every query routes through Celigo and is fully logged. If you are building AI-driven automation, enrichment pipelines, or an AI assistant that needs live data from your systems, this is the relevant page.

→ See AI Agents & MCP
Relevant work TwinsAI (AI outreach) · PandaTech (AI recruitment) · MCP + NetSuite deployment

EDI / B2B Integration

Full EDI cycle management — 850 in, 856 and 810 out, 997 on SLA.

EDI is not a connector problem — it is a data standards and trading partner compliance problem that Celigo's B2B Manager is built to handle. Entech manages the full transaction set: purchase orders in, advance ship notices and invoices out, functional acknowledgements within SLA. We map every transaction to and from NetSuite records, handle trading-partner-specific field requirements, and maintain the integration when partners change their specs. If you are onboarding a new retailer, replacing a legacy VAN, or automating a warehouse authorisation flow, this is the relevant page.

→ See EDI / B2B Integration
Related flows NetSuite ↔ EDI
Relevant work Confidential client — EDI + NetSuite + 3PL

Capabilities sit inside integrations, not alongside them

Every AI agent and every EDI flow lives inside a larger integration. The capability pages explain the approach — the platform and flow pages show the full implementation.

Questions

Frequently asked questions

What is Celigo's AI Agent capability?

Celigo AI Agents run inside your integration flows — they interpret unstructured data, make conditional decisions, and call external AI models like OpenAI or Claude mid-flow without offloading your integration logic to external systems.

What is the Celigo MCP Server?

The Celigo MCP Server exposes your connected systems — NetSuite, Salesforce, Shopify — as structured tools that AI assistants can query in real time. Every query routes through Celigo and is fully logged, so your AI assistant never touches your ERP credentials directly.

What EDI transactions does Celigo handle?

Celigo's B2B Manager handles the full EDI transaction cycle: purchase orders (850) in, advance ship notices (856) and invoices (810) out, with functional acknowledgements (997) processed within SLA. Entech manages the full implementation including trading partner mapping and NetSuite record creation.

Does Entech have live client deployments on Celigo AI Agent and MCP Server?

Yes. Entech has live client deployments on both Celigo AI Agent and Celigo MCP Server, including AI-driven outreach platforms (TwinsAI) and AI assistants with real-time ERP access via MCP.

When do I need Celigo's advanced capabilities vs. standard connectors?

Standard Celigo connectors handle field mapping and scheduled syncs. You need advanced capabilities when your integration involves AI decision-making mid-flow, unstructured data interpretation, EDI compliance with multiple trading partners, or real-time system access for an AI assistant.

Working on something that needs more than a standard connector?

If your integration involves AI, unstructured data, trading partner EDI, or live system access for an AI assistant — give us the details and we'll tell you whether Celigo is the right tool and how we'd approach it.

Talk to an integration expert →