Systems Integration
Enterprise systems depend on consistent data exchange. When interfaces are poorly documented, failures remain invisible, data must be reconciled manually and operational teams become dependent on the people who originally built them.
INERTIKA connects business applications, cloud services, databases and reporting environments across multi-system and multi-country operations. Interfaces are implemented with defined mappings, validation, error handling, monitoring, documentation and operational ownership.
Before implementation begins, we define which systems exchange data, which application owns each data domain and how every interface must behave.
Application and dependency mapping
Source and target system definition
System-of-record rules by data domain
Field mapping and transformation requirements
Synchronisation direction, frequency and triggering events
Authentication and access requirements
Data volume and processing requirements
Interface acceptance criteria
Result: a complete interface specification covering systems, data, dependencies, ownership and expected behaviour.
We implement the connection using the integration method appropriate to the systems, transaction frequency and operating environment.
REST and SOAP API integration
Webhook and event-triggered connections
Azure Logic Apps and Azure Functions
Azure API Management configuration
Scheduled and batch data exchange
Database and SFTP-based integration
Data transformation and field mapping
Master and reference data synchronisation
Credential and environment configuration
Result: working interfaces that move and transform data according to defined business and technical rules.
Every integration includes controls for identifying invalid data, failed transactions and incomplete synchronisation.
Required-field and format validation
Duplicate prevention and record-matching rules
Source-to-target reconciliation
Retry procedures and error queues
Transaction logging and processing history
Monitoring and operational alerts
Audit records for critical data exchanges
Failure escalation and ownership
Result: integration failures are visible, traceable and assigned to a defined support process.
Interfaces are tested against normal transactions, exceptions and failure conditions before production use. Documentation and support responsibilities are prepared before handover.
Functional and end-to-end integration testing
Negative and exception-path testing
Data reconciliation and migration validation
Deployment, cutover and rollback planning
Interface and data-mapping documentation
Access, credential and certificate ownership
Runbooks and support procedures
Knowledge transfer and post-launch stabilisation
Project Outputs
Application and dependency map
Interface specification
Field mapping and transformation rules
Validation and error-handling rules
Monitoring and alert configuration
Test evidence and deployment checklist
Interface runbook
Ownership and escalation matrix
Result: documented and tested integrations that can be monitored, supported and changed without dependence on undocumented knowledge.
Integrated Systems Ready for Operations
Enterprise applications, data and reporting environments connected through interfaces that are documented, monitored and prepared for ongoing support.
What Changes in Practice
Consistent data across connected applications
Less manual data entry and reconciliation
Visible failures and defined escalation procedures
Clear ownership of interfaces and data domains
Faster investigation of synchronisation issues
Documented dependencies and change procedures
More reliable operational and management reporting
For primary platform implementation and migration, see Enterprise Platforms. For approvals, handoffs and end-to-end process automation, see Workflow Automation.
Planning a Systems Integration Project?
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