System Integration
A new application rarely stands alone — it needs to work with ERP, CRM, warehouse management, and third-party systems.
Connecting ERP, CRM & Third-Party Systems
We analyse existing interfaces and data flows, design clean integration architectures, and test all scenarios before the new software goes into production.
The essentials of System Integration
- We analyse existing interfaces and data flows, design clean integration architectures, and test all scenarios before the software goes into production.
- At the start we define which system is the leading source for which data, so no inconsistent data states arise that someone must resolve by hand.
- For legacy systems with file-based integration, proprietary protocols, or SOAP, we build adapters and anti-corruption layers that cleanly decouple the old and new worlds.
- We choose the right integration pattern — direct API connection, middleware, or event bus — based on the required data flows and access.
- We build dedicated integration tests against realistic staging systems that run regularly, because unit tests don't catch interface breaks.
Integration Architecture
Every integration begins with an architecture analysis: which data needs to flow in which direction and when, which systems have read or write access, which protocols are already in use? Based on this analysis we choose the right integration pattern — from direct API connection to middleware or event buses.
Legacy System Connectivity
Not all systems offer modern APIs. For older systems with file-based integration, proprietary protocols, or SOAP interfaces, we develop adapters and anti-corruption layers that decouple the new and old worlds cleanly — without touching the legacy system or endangering its operation.
Data Synchronisation
When data lives in multiple systems, consistency problems arise. We design synchronisation strategies that define which system is the authoritative source, how conflicts are resolved, and which data flows in which direction — so no manual reconciliation is needed and data reliably matches.
Testing and Validation
Integrations are particularly error-prone because they depend on systems that change independently of each other. We build extensive integration tests, simulate failure scenarios, and test all interfaces in realistic staging environments before they go into production.
Integration project: from analysis to operations
A reliable system integration is not just about connecting things — it requires a defined sequence: understand first, then design, then validate.
Analyse existing data flows
Map all systems, interfaces, and data flows; define the authoritative source for each entity.
Design integration architecture
Specify anti-corruption layers, communication patterns (sync/async), and error handling.
Implement interfaces
Develop connectors and adapters; attach legacy systems through clearly defined boundaries.
Integration tests against staging
Verify all scenarios including failure cases automatically against realistic staging systems.
Monitoring and observability
Make data flows visible so failures are detected before they cause downstream damage.
Each phase builds on the result of the previous one; skipping steps creates integration failures that surface late.
What drives stable integrations
Not every aspect of a system integration carries the same risk of failure. This weighting shows where architectural decisions have the greatest impact on long-term stability.
- Define the authoritative sourceData conflicts emerge without a clear master
- Anti-corruption layerDecouples new system from legacy internals
- Dedicated integration testsUnit tests cannot catch interface breakages
- Data flow observabilitySurface failures before they cause damage
Relative weighting
Relative weighting reflects influence on maintainability and resilience — not implementation effort.
What matters for System Integration
The first and most important question of any integration is which system is the leading source for which data. Leave open who wins in a conflict and you create inconsistent data states that someone must resolve by hand forever. This clarity belongs at the start of the design, not in troubleshooting months after go-live.
Direct access to the internal structures of a legacy system couples the new tightly to the old and makes both sides immovable. An anti-corruption layer translates between the worlds and shields the new system from the quirks of the old. That lets the legacy system keep running independently or be retired without having to touch the new part every time.
Integrations break because the systems behind them change without asking you. Unit tests do not catch that. It takes dedicated integration tests against realistic staging systems that run regularly, otherwise a break is noticed only once the damage has long been done. Data flows also need observability, so an outage becomes visible before it shows up as missing orders or wrong stock levels.
Define the authoritative source
In every data flow, one system must be the authoritative source. When it's unclear which system wins in a conflict, inconsistent data states arise that require manual resolution — a permanent maintenance burden avoidable with clear architecture.
Anti-corruption layer protects
Direct access to legacy system structures tightly couples new components to old ones. An anti-corruption layer translates between worlds and allows the legacy system to be independently operated or replaced without touching the new part.
Integrations need their own tests
Unit tests don't check integrations. Dedicated integration tests against realistic staging systems are the only way to verify interfaces reliably — and they must run regularly because external systems change.
Connecting the silos
With us you're always at the forefront of enterprise software development and benefit directly from our extensive development know-how. Together we examine your business processes, identify key optimization potential and develop individually tailored solutions. Your business goals and expectations are the focal point of everything we do.
Comprehensive technological expertise
We choose the stack per project by requirement and rely on established, future-proof technologies instead of niche dependencies.
Specialized in enterprise solutions
The real lever lies in clean interfaces: we integrate deeply into ERP, CRM and third-party systems instead of isolated solutions.
Years of experience in the software industry
From requirements analysis to operation after go-live, we know the pitfalls of large software projects.
Multidisciplinary expert team
Analysis, architecture, backend and operations come together in one team, without friction between disciplines.
Long-term business success
We build maintainable foundations that grow with your company, and stay by your side with support and further development.
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