Connect your applications so data flows where it is needed.
We design APIs and build integrations between business applications, third-party platforms and databases, with secure authentication, reliable data mapping, error handling and monitoring.
Illustrative solution concept. The final architecture is defined during discovery.
System integration connects separate software, such as a CRM, ERP, e-commerce platform, accounting system or partner service, so they exchange data automatically instead of through exports and re-typing. APIs (application programming interfaces) are the agreed, secure way for systems to request and send that data.
Our integration work covers designing and building APIs, connecting to third-party services, mapping and transforming data between systems, and making sure every transfer is logged, retried when it fails and monitored.
Integrating AI models or building data pipelines for analytics? See AI & ML Integration and Data & API Integration for data science.
REST APIs and webhooks with clear contracts, versioning and OpenAPI documentation.
Typical outputOpenAPI specification and implemented endpoints
Connections between CRM, ERP, e-commerce, accounting and line-of-business systems.
Typical outputTested system-to-system data flows
Integration with payment, shipping, messaging, identity and other external platforms.
Typical outputImplemented connector within vendor API constraints
OAuth 2.0, API keys, least-privilege access and encrypted transport.
Typical outputAuthentication and access-control configuration
Transforming data between formats and keeping records consistent in near real time or on schedule.
Typical outputDocumented mappings and synchronization rules
Retries, dead-letter queues, alerts and logs so failed transfers are visible and recoverable.
Typical outputError paths, operational alerts and runbooks
The illustration above shows the main building blocks. The implementation and boundaries are agreed around your systems and delivery requirements.
Identify systems, data owners and available interfaces.
Agree schemas, identity, limits and data mappings.
Transform and route messages with appropriate recovery handling.
Observe flows, investigate failures and manage version changes.
Every integration follows the same disciplined steps, whether it connects two systems or ten.
Systems, data objects, direction and frequency of each flow are documented.
OutputSystem and data-flow inventory
The integration pattern, data mappings, security and error handling are agreed.
OutputAPI contracts and integration design
APIs and connectors are developed with automated tests.
OutputImplemented connectors and automated checks
End-to-end testing with realistic data, including failures and retries.
OutputEnd-to-end and failure-case test findings
Go-live with dashboards, alerts and runbooks.
OutputOperational documentation and handover
Integrations are built with standards and platforms that suit the systems being connected.
Clear, documented ways for systems to exchange data.
Building APIs, connectors and transformation logic.
Managed services for workflows and API exposure.
Reliable, asynchronous delivery where real-time flows need it.
Secure, standards-based access between systems.
Being able to integrate with a platform does not imply a partnership with its vendor.
Tool selection depends on your existing stack, access, licensing and the agreed scope. Product names identify technologies discussed for this service, not partnerships or certifications.
Illustrative examples of where this service applies.
Orders, warehouse and carrier systems kept in sync for accurate tracking.
Payment, banking and accounting connections with full audit logs.
Exchanging information between practice, lab and billing systems.
A defined project to connect two systems or deliver one API.
A phased plan to connect several systems on a shared, monitored integration layer.
Monitoring, fixes and changes as connected systems evolve.
Software Maintenance & Support →Cost depends on the number of systems and data flows, the quality of existing APIs and whether data must move in real time. A single integration between two systems with good APIs is usually a small, defined project.
Timing depends on API availability, number of flows, data quality, vendor access, authentication and failure-handling requirements. Discovery defines a phased estimate instead of assuming all integrations are alike.
Often, yes. Options include reading from databases, exchanging files on a schedule, or building a small API layer in front of the older system. We assess the safest option during design.
Recovery depends on the integration pattern and the connected systems. We agree retry rules, logging, alerts and any error queue or reconciliation process during design so failures can be investigated and recovered.
This service connects business applications and platforms. Our AI and data integration services focus on connecting AI models and building data pipelines for analytics.
Ownership is set out in the contract. Typically, the integration code, specifications and documentation are delivered to you and run in your environment.
Tell us which systems you want to connect and we’ll outline an approach.
Discuss Your Integration Requirements
