Selected Work · Enterprise Integration
Connecting an External Platform to a Legacy ERP
Investigating authentication, identity, data ownership, and system boundaries across an external platform and a long-lived enterprise system.
Focus
Enterprise Integration
Environment
Multi-system enterprise
Approach
Investigate before implementing
Case at a glance
From unclear boundaries to a defined integration path.
Challenge
Several systems owned different parts of one operational process, with no safe integration path established.
Investigation
Trace authentication, identity, API behavior, data ownership, and system responsibilities end to end.
Result
A technically validated integration model with clear boundaries for retrieval, mapping, and enterprise processing.
Before implementation
The questions that had to be answered first.
The integration could not be designed safely until ownership, identity, responsibilities, and existing capabilities were understood.
Which system contained the authoritative data?
How was identity represented across the different platforms?
Which API exposed the information actually required?
Where should transformation and business logic live?
How should authentication be created, refreshed, and protected?
Could an existing integration mechanism support the requirement?
Key finding
External data retrieval and enterprise business processing were separate responsibilities and should remain separate.
Architecture decision
Keep each system responsible for what it already owns.
01
External platform
Source information
02
Integration layer
Authenticate · validate · map
03
Enterprise system
Apply established business rules
Context
Situation
The organization relied on several systems that each owned a different part of the process. An external platform produced information that ultimately needed to become usable inside a long-lived enterprise system.
The technical challenge was not simply moving data between two APIs. Authentication, user identity, data ownership, business rules, and system responsibilities crossed multiple application boundaries.
System investigation
Investigation
The work began by tracing the complete data path rather than starting with implementation.
Available APIs and authentication flows were tested directly. Sample responses were examined to understand the actual data model. Identity fields were compared across system boundaries, and the responsibilities of the external platform, integration layer, and enterprise system were separated.
The investigation also examined whether existing enterprise integration capabilities could support the required business operation before introducing another custom component.
What became clear
Findings
The integration problem was broader than a simple API call.
The external platform could provide the required source data, but successful integration depended on establishing a reliable identity relationship and preserving business rules owned by the enterprise system.
The investigation established the architectural boundary that ultimately shaped the design: source-data retrieval and enterprise business processing belonged to different parts of the system.
Design decision
Approach
The resulting design treated the integration as a controlled data flow rather than a direct system-to-system shortcut.
The external API remained responsible for exposing source information. Integration logic handled authentication, retrieval, validation, and mapping. Existing enterprise functionality remained responsible for operations that depended on established business rules.
This kept responsibilities explicit and avoided introducing unnecessary coupling between systems.
Outcome
Result
The investigation produced a clear implementation path with defined authentication, identity, data, and system boundaries.
Instead of beginning with speculative development, the organization had a technically validated model for how the integration should work and where each responsibility belonged.
Mukha principle
What this illustrates
Enterprise integrations are rarely difficult because two systems cannot exchange data.
They become difficult when identity, ownership, business rules, and responsibilities are unclear.
Mukha approaches integration work by establishing those boundaries first, then designing the smallest reliable connection between them.