Connecting Your Tech Stack: A Practical Integration Guide

The average mid-market manufacturer or distributor has somewhere between 5 and 15 software systems. Most of them don't talk to each other.

The result: manual data re-entry, inconsistent data, reporting that takes hours to pull together, and a constant background hum of "which system has the right number?"

This guide covers the framework we use to design and build integrations that actually work.

Map Before You Build

Before you touch a single API, map your current data flows, or lack thereof.

Create a simple diagram with each system as a node. Draw arrows showing where data moves today (even if it's manual). Label each arrow with: what data moves, how often, who moves it, and what happens if it doesn't get moved.

This map will reveal your highest-value integration opportunities, the manual transfers that happen most frequently, touch the most people, or have the highest error risk.

Choose the Right Integration Approach

Not all integrations need to be built the same way. The right approach depends on your systems, your budget, and your maintenance capacity.

Native integrations: Some systems have pre-built connectors to other common platforms. Always start here. They're maintained by the vendor and require no custom code.

iPaaS platforms (Zapier, Make, Boomi, Celigo, etc.): For connecting SaaS tools, an integration platform is often faster and cheaper than custom development. These tools have visual, no-code/low-code interfaces and are maintainable by non-developers.

Custom API integrations: For complex transformations, high data volumes, or systems with limited native integration support, custom code is sometimes the right answer. More expensive to build and maintain, but more flexible.

Middleware/ESB: For large enterprises with dozens of systems, an enterprise service bus or middleware platform makes sense. For most mid-market companies, this is overkill.

Build for Failure, Not for the Happy Path

The most common mistake in integration projects is building for the happy path, what happens when everything works as expected.

Real integrations fail. APIs go down. Records don't match. Data arrives out of order. Duplicate records get created.

Good integrations include:

Conclusion

System integration is infrastructure work. Done well, it's invisible, data flows, systems stay in sync, and your team can trust what they see. Done poorly, it creates a new category of problems that's harder to diagnose than the manual processes it replaced.

Start with a map. Prioritize by impact. Choose the simplest approach that meets your requirements. And build for failure from day one.