Systems & API Integration
Make existing systems work together without replacing what still serves the organisation.
We examine how applications, data, interfaces and workflows behave before building the APIs, adapters, middleware and controls needed between them.
Discuss Your Integration Requirements
Engineer the missing capability between existing systems
An important workflow may cross several applications, databases, vendor platforms, and manual steps. The visible integration gap is often only one part of the requirement; data ownership, exception handling, security, and operational responsibility also need to be understood.
We map those conditions before selecting an integration pattern. Where the existing systems remain suitable, we retain them and add the smallest supportable layer needed to exchange data, coordinate work, or expose missing functionality.
The integration can include:
- APIs designed around a defined requirement with clear interface definitions, versioning, authentication, and ownership
- Adapters for vendor, specialist, and legacy systems that create stable boundaries around constrained or inconsistent interfaces
- Data mapping, validation, and reconciliation where connected systems represent the same information differently
- Workflow orchestration and event handling with explicit retries, failure states, and human exception paths
- Security and access controls applied according to the data, users, systems, and risks involved
- Operational visibility through useful logs, metrics, alerts, and diagnostic controls
If several systems need to support one process, we can map the interfaces, data, exceptions, and constraints before defining a practical integration. Related work may include workflow and process automation or data integration and operational reporting.
Technology selected for the connected environment
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API Design & Delivery
REST, GraphQL, gRPC, OpenAPI/Swagger
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Eventing & Messaging
Apache Kafka, RabbitMQ, NATS
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API Gateways & Edge
Kong, NGINX, Traefik, Envoy, Caddy
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Identity & Security
OAuth 2.0, OpenID Connect, JWT, mTLS, identity-provider integration
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Data & Transformation
JSON, XML, CSV, XSLT, schema validation, mapping and reconciliation
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Observability & Reliability
Prometheus, Grafana, ELK/OpenSearch, OpenTelemetry
Integration requirements found in real operating environments
The integration approach depends on where the workflow crosses system boundaries and what must happen when an interface, payload or downstream service behaves unexpectedly.
Integration designed to remain operable as systems change
A working connection is not enough. Interfaces, dependencies, retries, exceptions, security, deployment, monitoring, and support responsibilities need to remain understandable after delivery.
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Defined System Boundaries
Interfaces make ownership, accepted inputs, expected outputs, and failure behaviour explicit. -
Controlled Data Exchange
Mapping, validation, and reconciliation account for differences between source and destination systems. -
Workflow Coordination
Automated hand-offs retain visible exception paths for cases that require human judgement. -
Capacity Based on Real Demand
Throughput, latency, concurrency, and recovery behaviour are designed around measured or expected service conditions. -
Existing-to-Modern Connectivity
Older, specialist, and current platforms can be connected without assuming either side must be rewritten. -
Useful Diagnostic Evidence
Logs, metrics, traces, and diagnostic controls help teams identify where and why a transaction failed.
Let the complete workflow determine the integration pattern
An integration has to fit the complete workflow and remain supportable as its dependencies change. We choose the architecture accordingly, accounting for data ownership, failure modes, security constraints, deployment and ongoing responsibilities.
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Requirement and Environment Review
We map the workflow, systems, interfaces, data ownership, users, constraints, and known failure points. This establishes what the integration must do and what should remain unchanged.
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Integration Design and Delivery Plan
We define interface behaviour, data transformations, security controls, exception handling, testing, deployment, and ownership. API-led, event-driven, batch, or orchestrated patterns are selected only where they fit.
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Build, Test, and Controlled Release
We implement the required APIs, adapters, routes, and operational controls. Testing covers normal flows, invalid inputs, dependency failures, recovery, and relevant volume or latency conditions before a staged release.
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Document the Integration and Assign Ownership
We provide documentation and practical runbooks for operating and changing the integration. Responsibilities for connected systems, failure handling and future interface changes are recorded.
Delivered integration around a network-management API
Case study: operational 4G/5G cell management
A purpose-built client and web interface added the domain behaviour needed for routine cell operations.
A telecom infrastructure provider needed operations staff to find, inspect, lock, and unlock 4G and 5G cells through an established network-management platform. Its REST API exposed the operations, but callers still had to traverse a managed-object hierarchy and interpret partial-success responses. We built Operational 4G/5G Cell Management around those behaviours.
The TypeScript client encapsulated managed-object traversal and retried failed cells individually without repeating confirmed successes. An Express interface provided site search, status, operator filtering, and lock or unlock controls, and the same client was later reused for configuration reporting.
Retain, integrate, or extend before replacing
We do not treat an inconvenient interface as automatic justification for a new platform. The change boundary is based on the requirement, risk, service impact, and long-term ownership.
Component choices remain requirement-led
Open-source and proprietary components are both options. We make dependencies and trade-offs clear so the organisation can understand how the integration will be operated and changed.
Support as connected systems and interfaces change
Integrations sit between independently changing systems. Support therefore needs enough context to distinguish source data, interface, transformation, dependency, and workflow failures.
We can provide formal response arrangements through SLA-based technical support, or planned engineering capacity through engineering support hours.
Where the first need is to establish why an existing workflow is failing, technical investigation and operational diagnostics can provide the evidence needed before change is designed.
Frequently Asked Questions
Have a question about a difficult interface or cross-system workflow? Talk to us.
Make the complete process work across system boundaries
Tell us which systems are involved, what needs to pass between them, and what cannot readily change. We can assess the interfaces, data, exceptions, and operating constraints before recommending an approach.
