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System integration
that makes separate platforms work like one operating environment.

We connect applications, platforms, data and workflows through APIs, events and integration services — reducing duplicated effort, inconsistent information and fragile point-to-point dependencies.

System IntegrationPart of AI, Data & Integration ›
  1. 01MapUnderstand systems, ownership, workflows and information movement.
  2. 02DesignDefine boundaries, contracts and the right integration pattern.
  3. 03ConnectBuild APIs, events, data flows and orchestration between platforms.
  4. 04OperateMonitor failures, dependencies and behaviour across the integrated environment.

When integration becomes the problem

Systems can all work individually — and the business can still feel disconnected.

Integration problems usually appear in the gaps between platforms: duplicate entry, inconsistent records, manual hand-offs and unclear ownership of important information.

  1. 01The same information is entered in several placesTeams re-enter customer, product, order or operational data because systems do not exchange it reliably.
  2. 02Important workflows depend on manual hand-offsA process moves between platforms through email, spreadsheets or people remembering what to do next.
  3. 03Point-to-point integrations have become difficult to changeEvery new connection creates another dependency, making the environment increasingly fragile.
  4. 04Nobody is sure which system owns the truthConflicting records appear because platforms create, update and store the same information without clear ownership.

The integration decisions

Before connecting systems, decide what each platform should own.

  1. 01What business workflow are we trying to connect?Which process should become faster, clearer or more reliable because the systems work together?
  2. 02Which system owns each important piece of information?Where are customers, products, transactions, identities and operational records created and maintained?
  3. 03What should happen synchronously and what can happen later?Which interactions require an immediate response, and which are better handled through events, queues or scheduled processing?
  4. 04What should the integration expose?Which capabilities should be available through APIs, events, data feeds or shared services?
  5. 05What should happen when part of the workflow fails?Which steps should retry, queue, reconcile, escalate or wait when a dependency is unavailable or processing only partially completes?
  6. 06How will integration behaviour be observed?Which logs, events, metrics and alerts are required to understand whether the wider workflow is healthy?

What System Integration can include

Integration can connect systems, data and workflow without forcing everything into one platform.

  1. 01API integrationSecure application interfaces that expose and consume capabilities between systems.
  2. 02Event-driven integrationEvents, queues and asynchronous processing for workflows that should not depend on immediate point-to-point responses.
  3. 03ERP & CRM integrationConnect customer, sales, product, finance and operational platforms around shared processes.
  4. 04SaaS & third-party integrationConnect external platforms, specialist tools, payment providers and cloud services into the wider environment.
  5. 05Data synchronisationMove and reconcile important information between systems while maintaining clear ownership.
  6. 06Workflow orchestrationCoordinate multi-system processes so actions occur in the right order with explicit handling for failure and retry.

Related integration & platform areas

Integration often sits between application engineering, data platforms and business systems. These capabilities commonly shape the wider solution around it.

Engagement scope

What we actually do.

  1. 01Integration discovery & system mappingMap applications, interfaces, data ownership, dependencies and the workflows crossing the current environment.
  2. 02Integration architectureDefine boundaries, contracts, synchronous and asynchronous patterns, security and ownership across systems.
  3. 03API & service engineeringDesign and build secure APIs, services and adapters between existing and new platforms.
  4. 04Event & workflow integrationImplement events, messaging, queues and orchestration for processes spanning several systems.
  5. 05Data mapping & transformationDefine how information should be mapped, validated, transformed and reconciled between platforms.
  6. 06Integration observability & operational readinessAdd logging, tracing, alerts, retries, reconciliation and support practices so cross-system failures can be detected and understood in production.

Engagement options

Ways we can integrate with you.

Not sure which starting point fits? We will help you choose.

Talk to an integration specialist ›
  1. Focused system integrationConnect a defined set of platforms around one important workflow.Useful whenA specific process is blocked by manual movement between two or more systems.
  2. Integration modernisationRestructure an existing integration estate and reduce brittle point-to-point dependencies.Useful whenIntegrations already exist but have become difficult to understand, support or change.
  3. Integration platform programmeCreate shared integration patterns, APIs, events and governance across a wider application landscape.Useful whenSeveral teams and systems need a consistent way to exchange information and capabilities.

What you leave with

Connected systems with clearer ownership — and fewer hidden dependencies.

The exact outputs depend on the environment, but the engagement should leave teams with working integrations and enough visibility to understand how the wider workflow behaves.

  1. 01A mapped integration landscapeClear visibility of the applications, dependencies and information flows involved.
  2. 02Defined system ownershipExplicit responsibility for where critical information and business capabilities live.
  3. 03Production-ready integrationsAPIs, events, data flows and orchestration connected to the systems that own the underlying capability.
  4. 04Reliable data movementValidation, transformation and reconciliation designed into information exchange.
  5. 05Failure and recovery behaviourRetries, dead-letter handling, reconciliation and escalation designed around realistic failure scenarios.
  6. 06Observable integration operationLogs, metrics, tracing and alerts that make cross-system behaviour understandable in production.

Our engineering approach

Connect around ownership and workflow — not around whatever endpoint happens to exist.

  1. 01
    Understand the operating flowMap the business process, systems, users and information involved.
  2. 02
    Define ownershipDecide which platform owns each capability and important data domain.
  3. 03
    Choose the integration patternUse APIs, events, messaging or batch movement according to the actual behaviour required.
  4. 04
    Engineer for failureBuild validation, retries, idempotency and recovery into the integration rather than assuming dependencies always work.
  5. 05
    Observe and improveMonitor production behaviour and use evidence to strengthen performance, reliability and changeability over time.

Typical starting points

You do not need a complete integration architecture to start.

Talk to an integration specialist ›

Clients usually involve us when:

  • Teams re-enter the same information across several systems.
  • ERP, CRM and other platforms do not work together cleanly.
  • A new application needs to connect to legacy systems.
  • Existing point-to-point integrations have become difficult to maintain.
  • APIs exist, but system ownership and interface responsibilities are unclear.
  • A business process depends on manual movement between applications.
  • Several platforms disagree about important customer or operational data.
  • Integration failures are difficult to detect and diagnose.

From integration to connected operation

A successful API call is a milestone. The wider business workflow still has to remain reliable.

System Integration can move directly into the capabilities required to manage the data, applications and infrastructure around the connected environment.

Data EngineeringBuild and operate the data pipelines and information foundations that integration workflows depend on.Explore Data Engineering AI Development & AutomationUse connected systems and information to support intelligent automation across wider workflows.Explore AI Development & Automation Business PlatformsImplement or evolve ERP, CRM and operational platforms that own important business processes and records.Explore Business Platforms Cloud & Platform OperationsRun the infrastructure, messaging, gateways and services integration depends on.Explore Cloud & Platform Operations Reliability, Observability & SecurityMonitor dependencies, trace failures and protect communication between connected systems.Explore Reliability & Security

AI-first approach

Use AI where it helps interpret or route information — not where deterministic integration is the better tool.

AI can assist classification, document interpretation, mapping and exception handling inside integrated workflows. But system contracts, ownership and critical transaction rules should remain explicit and testable.

Use AI for ambiguity. Keep integration logic deterministic where the business depends on certainty.

  • InterpretationWhere does unstructured information need to be understood before it can enter a workflow?
  • RoutingCan AI help classify or direct requests without weakening deterministic process rules?
  • ControlWhich data mappings, validations and transactions must remain explicit and verifiable?
  • ExceptionsWhere can AI help operators understand failed or ambiguous integration cases faster?

FAQ

Common questions about System Integration.

System integration connects applications, platforms, data and workflows so they can exchange information and coordinate business processes without relying on manual hand-offs.

Start with the workflow that keeps crossing system boundaries

The systems already exist. Are they working together as one business process?

Tell us which platforms are involved, where information or work gets stuck and which system should own the result. We will help define the right boundaries, integration patterns and path to production.

Talk to an integration specialist ›Explore AI, Data & Integration ›