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Enterprise IntegrationSoftware Architecture

Enterprise Systems Integration for M&A

Three disconnected systems meant hours of daily manual reconciliation. We connected them all — cutting reconciliation by 90%.

90% reduction
Reconciliation
Real-time
Reporting
99.5%
Data Accuracy
100%
User Adoption
The Challenge

What problem were we solving?

Disconnected systems caused data silos, reporting delays, and team friction. Leadership had no unified view of operations across all three entities.

Key Constraints

All three systems had active contracts — could not sunset immediately

Each system had customizations and integrations of its own

200+ users across three organizations needed seamless access

Integration had to be completed in phases to manage change

Options Considered

What paths were on the table?

1

Full ERP consolidation onto one platform

2

API-first integration layer connecting all three

3

Data warehouse approach — centralize reporting only

4

Phased migration: integrate first, consolidate later

The Decision

Built an API-first integration layer with a canonical data model. This connected all three systems without forcing immediate consolidation, allowing teams to work in their existing tools while sharing data seamlessly.

Our Approach

How we solved it

Designed a canonical data model mapping entities across all three systems, built event-driven sync pipelines, and implemented a unified dashboard. Each phase (CRM → ERP → Inventory) was deployed independently with validation checkpoints.

The Results

Measurable business outcomes

Manual reconciliation dropped 90%. Reporting went from 3-day delays to real-time. Leadership got a unified operational view for the first time.

90% reduction
Reconciliation
Real-time
Reporting
99.5%
Data Accuracy
100%
User Adoption
Client Voice
"
For the first time since the acquisition, we can actually see what's happening across the entire business in one place.
JW
James Whitfield
VP of Operations, Consolidated Industries

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