What is EDI — and which delivery model is right for your business? Our hosts break down legacy vs. modern EDI, chargebacks, and how EDI connects to your ERP.

EDI compliance is mandatory for most enterprise trading partners — and getting it wrong is expensive. One supplier in this episode racked up $400,000 in chargebacks from a single trading partner over late ASNs.

In this episode Jeremy and Nate cover what EDI actually is, why every trading partner runs a different version of the same "standard," how VAN, AS2, and SFTP differ in practice, and the real line between legacy EDI and modern EDI.

They also get into where EDI meets API, why APIs won't replace EDI at supply chain scale, and where AI genuinely helps an EDI program versus where it doesn't belong.

What you'll learn:

• What EDI is in plain language, and why it still matters in 2026
• The three flavors of legacy EDI: custom builds, standalone translators, and managed service
• Managed EDI vs. modern EDI: the factors that should actually drive the decision
• EDI vs. API: why they coexist instead of compete
• Where AI fits in EDI configuration and monitoring — and where it's a bad idea
• How to get started without building from scratch or losing control

👉 Get a demo: https://www.celigo.com/request-a-demo/

The command line is having a comeback. AI code editors like Claude Code, Codex, and Cursor have made CLIs s natural place to take action—and Celigo just launched a CLI built for this exact shift.

Learn what a CLI is, why it matters again, and how enterprise developers are using AI-driven CLIs to build production integrations.

A Command Line Interface (CLI) lets developers run text-based commands against an underlying system. For decades, it was a tool for sysadmins and scripters. In 2026, AI code editors changed the pattern — developers describe what they want in natural language, AI interprets the request, and the CLI runs the commands.

In this guide, Celigo walks through what a CLI is, why it's relevant again, the difference between CLI and Platform MCP for AI agents, and what "headless operations" actually means when you're driving enterprise integration work from inside your editor.

What you'll learn:

• What a Command Line Interface (CLI) is and how it works
• Why CLIs are making a comeback in the AI code editor era
• How AI agents use CLIs to take action from natural language requests
• The difference between CLI and Platform MCP for AI agents
• What "headless operations" means for enterprise developers

👉 Book a demo: https://www.celigo.com/request-a-demo/

📚 Related reading: https://www.celigo.com/blog/what-is-an-integration-cli/

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Celigo's technical product marketing team used Celigo's intelligent automation platform to reduce their Wordpress publishing time by over 99%—saving nearly 1,000 hours a year.

Nate walks through how his team automated connector page publishing across four systems: Jira, Asana, Google Drive, and WordPress. The result: a publishing cycle that took 60 hours now takes 30 minutes. He also covers how they embedded AI agents into the workflow — with MCP server access to Celigo's competitive intelligence — so the output is grounded in real product positioning, not generic model output.

What you'll learn:

• How Celigo's marketing team reduced publishing cycle time by over 99%
• Live walkthrough of a Jira → Asana → Google Drive → WordPress automation
• Why the team used a WXR file as a WordPress intermediary (and how security governance shaped the architecture)
• What questions any team should ask before automating a cross-departmental workflow

👉 Book a demo: https://www.celigo.com/request-a-demo/

📚 Related reading: https://www.celigo.com/builders-hub/s...

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Model Context Protocol (MCP) is reshaping how AI agents connect to enterprise systems. Learn what MCP is, how it works, and what production-grade MCP actually looks like at enterprise scale.

The Model Context Protocol solves the integration problem for AI agents — giving them a standardized way to access tools, data, and business systems. In this guide, Celigo walks through what MCP is, how the architecture works, and what enterprise teams need beyond the basics: real-world AI integration applications, governance and audit at scale, and how to connect AI agents to multiple enterprise systems through one MCP server. Anchored in Celigo's MCP Server (GA) and the same 1,000+ maintained connector ecosystem that powers Celigo's iPaaS.

What you'll learn:

• What the Model Context Protocol (MCP) is and how it works
• The architecture of MCP — hosts, clients, and servers
• How AI agents use MCP to connect to multiple enterprise systems
• What an enterprise-grade MCP server actually requires
• When to use MCP — and when traditional API integration is the better fit

👉 Book a demo: https://www.celigo.com/request-a-demo/

📚 Related reading: https://www.celigo.com/blog/what-is-an-mcp-server/

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