Saturday, 6:00 AM. After 18 months of planning, the ERP cutover begins. The migration runs smoothly. Data is transferred. The new system comes online at 2:00 PM. The project team celebrates.
Monday, 8:15 AM. The first ticket comes in: the payroll system is receiving employee records with malformed department codes. Then another: the CRM can't match customer IDs because the new ERP uses a different format. Then another: the BI dashboards show $0 revenue because the data warehouse connector is pulling from tables that no longer exist.
By noon, 47 integration failures have been logged. By end of day, the count is 112. Finance can't close the week. Customer service can't look up order history. The supply chain team is running on spreadsheets.
The ERP works perfectly. Everything connected to it does not.
- 200+ point-to-point integrations were built over a decade. Nobody had a complete map of what was connected to what.
- Each integration assumed specific data formats, table names, and field mappings, all of which changed in the upgrade.
- Testing covered the ERP migration. It did not cover the full integration landscape, because the landscape was undocumented.
- The "go-live" didn't just upgrade one system. It broke the silent contracts between dozens of systems that had been working together for years.
What if integrations weren't built on brittle, point-to-point connections, but on a semantic layer that abstracts the underlying system?
An Integration Builder where every connection goes through a shared data model. When the ERP upgrades and table names change, the semantic layer absorbs the difference. Downstream systems don't notice, because they don't talk to the ERP directly; they talk to the intelligence layer.
Every data flow is mapped, visible, and governed. An ERP upgrade becomes a configuration change instead of a six-week crisis.
The 200 broken integrations weren't a migration failure. They were the accumulated cost of a decade of point-to-point connections that nobody could see, manage, or update safely. Replace the architecture, and the next upgrade happens without the enterprise feeling it.
If upgrading one system breaks fifty others, you don't have an integration strategy. You have an integration accident waiting for a trigger.
See what this looks like in practice.
A strategic conversation about how the enterprise could operate
when every system shares one intelligence. No demo required.