Service Capability

Enterprise Integration

API management, event-driven integration, middleware engineering, and system connectivity for complex enterprise technology landscapes — replacing spaghetti integrations with governed, observable, and maintainable connectivity.

What we do

Enterprise organisations accumulate integrations over decades. Each new system brings new point-to-point connections. Each acquisition adds another application landscape. The result is a web of direct dependencies that makes every change to any system a risk to every system connected to it.

We help organisations replace this tangled landscape with a coherent integration architecture — API-led connectivity that decouples producers from consumers, event streaming for reliable asynchronous communication, and API management platforms that provide governance, rate limiting, analytics, and developer self-service without centralising every integration into a single bottleneck.

Our integration practice covers the full spectrum: REST and event-driven API design, middleware implementation with MuleSoft or Apache Camel, API gateway deployment and policy configuration, ERP and legacy system connectivity, B2B EDI, and the identity and authentication layers that make integrations secure. We build integration platforms that teams can use and extend independently, not integration layers that require a specialist team to maintain every flow.

Problems we address

— Point-to-point integrations have multiplied to the point where nobody has a complete picture of what connects to what
— No API governance — APIs exist but have no versioning strategy, rate limiting, or usage analytics
— ETL-based integrations are fragile, run nightly, and fail silently when source schemas change
— EDI trading partner integrations are complex, expensive to change, and dependent on a single team member's knowledge
— A merger or acquisition has created two incompatible application landscapes that need to be connected or consolidated
— External partner or consumer API access is growing but there is no gateway, authentication policy, or developer documentation

Capabilities

API Management & Governance

API gateway deployment and configuration using Kong, Apigee, or AWS API Gateway. Rate limiting, authentication policy, analytics, developer portal setup, and API versioning governance across internal and external API programmes.

Event-Driven Architecture

Apache Kafka-based event streaming design and implementation — topic design, partition strategy, consumer group patterns, schema registry, and event-driven integration patterns that decouple producers from consumers and enable reliable async communication at scale.

Middleware Engineering

Integration flow development using MuleSoft Anypoint Platform or Apache Camel — transformation, routing, error handling, retry policies, and dead letter queues. IBM MQ and RabbitMQ for reliable message delivery in environments requiring guaranteed delivery semantics.

ERP & Legacy System Integration

Integration with SAP, Oracle, and other enterprise systems using platform-standard connectors, BAPI/RFC interfaces, and custom adapter development where standard connectors don't meet the requirement. Data transformation between enterprise and modern API formats.

EDI & B2B Integration

Trading partner onboarding, EDI (X12, EDIFACT) processing, AS2 and SFTP transport handling, and acknowledgement management. Modernisation of legacy EDI infrastructure to API-based equivalents where trading partners support newer protocols.

Identity & Auth Integration

OAuth 2.0 / OpenID Connect integration for API authentication, SAML federation for legacy systems, service-to-service authentication using mutual TLS and JWT, and integration with enterprise identity providers (Okta, Azure AD, Ping Identity).

Our approach

API-led connectivity

We design integration architectures around the principle of API-led connectivity — system APIs that expose data from underlying systems, process APIs that implement business logic, and experience APIs that compose system and process APIs for specific consumers. This layered model avoids the central ESB bottleneck while still providing governance and reuse.

Decouple producers from consumers

Direct point-to-point integration creates tight coupling — when the producer changes, every consumer must change simultaneously. An event streaming backbone or an API gateway with versioning policy allows producers to evolve independently of consumers, dramatically reducing coordination overhead and change risk.

Observable by default

Integration failures are often discovered by end users rather than monitoring systems. We instrument every integration with structured logging, distributed tracing, and health checks that surface failures in real time — so an integration team knows about a problem before the business does.

Standards over custom

We prefer OpenAPI-specified REST, CloudEvents for event metadata, and OAuth 2.0 for authentication over custom formats and protocols — not because standards are inherently better, but because they reduce the specialist knowledge required to maintain and evolve integrations over time.

Delivery process

1

Integration landscape assessment

Map all existing integrations, identify point-to-point dependencies, assess reliability and monitoring gaps, and score each integration by business criticality and fragility.
2

Hub design & technology selection

Design target integration architecture — API gateway, event streaming backbone, or middleware hub depending on requirements. Select technology based on existing skills, operational cost, and vendor landscape.
3

API contracts & standards

Define OpenAPI specifications, event schema standards, naming conventions, and versioning policy before implementation begins. Contracts reviewed and approved by producers and consumers together.
4

Implementation & migration

Build integrations on the new platform, test with consumers in a non-production environment, and migrate traffic from legacy point-to-point integrations with rollback capability at each stage.
5

Testing, monitoring & handover

Integration test suites, monitoring dashboards, alerting runbooks, and governance process handover. Developer portal documentation for internal and external API consumers.

Technologies

API Management

KongApigeeAWS API GatewayAzure APIM

Event Streaming

Apache KafkaAWS EventBridgeAzure Service Bus

Middleware

MuleSoftApache CamelIBM MQRabbitMQ

API Protocols & Formats

RESTGraphQLSOAPEDI (X12)OpenAPI

Identity & Auth

OAuth 2.0OpenID ConnectSAMLmTLS

ERP Connectors

SAPOracleSalesforceServiceNow

Industries served

Financial Services Manufacturing Healthcare Retail

Related case studies

Financial Services

Banking Platform Modernization

API management layer deployed on Kong with OAuth 2.0 authentication, replacing 47 point-to-point integrations with a governed API hub, reducing integration incident volume by 68% in the first six months.

Frequently asked questions

Do we need an ESB (Enterprise Service Bus) or is that outdated?

The traditional ESB model — all integrations routed through a single centralised bus maintained by a specialist team — creates a bottleneck and a single point of failure. Modern integration architectures distribute integration intelligence using an API gateway for synchronous request/response flows and an event streaming platform for asynchronous communication. The central coordination is provided by governance policies and API contracts rather than by routing all traffic through a single runtime. If you have an existing ESB, we can help you assess which integrations to migrate and to what pattern, rather than just recommending wholesale replacement.

When should we use Kafka versus a traditional message queue?

Kafka is the right choice when you need: multiple independent consumers of the same events (fan-out), replay capability (ability to re-process historical events), high throughput at low latency, or a durable event log that other systems can subscribe to on their own schedule. Traditional message queues (IBM MQ, RabbitMQ, SQS) are better suited for work queuing patterns where each message should be consumed exactly once by a single worker, where queue depth management and dead letter handling are critical, or where the receiving team is more comfortable with point-to-point queue semantics. The two patterns often coexist — Kafka for the event stream, queues for work dispatch.

How do we handle API versioning without breaking existing consumers?

We recommend a versioning policy that distinguishes between backward-compatible changes (adding optional fields, new endpoints) that can be deployed without a version increment, and breaking changes (removing fields, changing required parameters, altering response structure) that require a new major version to be published alongside the existing one. Consumers migrate to the new version on their own schedule, and the old version is deprecated with a defined sunset timeline. An API gateway makes this manageable by routing version-specific traffic and enforcing deprecation headers that give consumers visibility into timelines.

Should we build our own API gateway or use a managed service?

Almost always use an existing gateway product rather than building your own. The core API gateway functionality — authentication, rate limiting, routing, logging, analytics — is well-solved by Kong (open source, self-hosted), Apigee (Google Cloud, fully managed), AWS API Gateway, or Azure APIM. The choice between them depends primarily on your cloud strategy and existing team skills. Building your own gateway recreates this solved problem at high cost and ongoing maintenance burden. We help you select and configure the right product based on your traffic volumes, multi-cloud requirements, and developer experience needs.

How do we approach integration after a merger or acquisition?

Post-merger integration is typically more complex than it appears before the deal closes. Both technology landscapes are usually less well-documented than expected, and application dependencies are broader than the due diligence surface suggested. We recommend starting with a rapid integration landscape assessment of both estates before committing to any architecture. Initial integration priorities should focus on the highest-value business data flows — typically customer records, financial transactions, and order management — using an anticorruption layer pattern that isolates each system's domain model during the transition rather than attempting an immediate data model merge.

Untangle your integration landscape

Whether you need to govern a sprawling API estate, replace a legacy ESB, or connect disparate systems after an acquisition, our integration engineering team can help.

Talk to our integration team View case studies