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Practice 08

Systems Integration & Automation

We design and build the integration fabric of the enterprise — connecting systems, orchestrating intelligent automation and AI-augmented agents across event-driven, API-led and legacy-modernisation strategies.

Follow the architecture

Let events flow. Keep failures contained.

Follow an event across systems with different owners and failure modes. Reliable automation makes retries, permissions and reconciliation explicit.

Producer — Publish intent

A source system emits a business event or accepts a command. Define the difference clearly: an event records a fact; a command requests an action.

  • Assign schema ownership
  • Include a correlation identifier
  • Avoid unnecessary sensitive fields
Gateway — Validate the boundary

Authenticate the sender and validate the contract before the message enters downstream processing. Protect consumers from unexpected volume and malformed inputs.

  • Validate schemas and permissions
  • Apply throttling and quotas
  • Preserve correlation metadata
Broker — Decouple delivery

A broker separates producer availability from consumer processing. Choose ordering, delivery and retention guarantees that fit the business operation.

  • Define delivery guarantees
  • Set retention and replay limits
  • Monitor backlog and dead letters
Workflow — Coordinate actions

Orchestrate steps with explicit retries and compensating actions. A partial failure must not silently leave systems disagreeing about business state.

  • Make handlers idempotent
  • Bound retries with backoff
  • Design compensating actions
Reconcile — Confirm the outcome

Track the final business outcome across system boundaries. Reconciliation and exception queues make failures visible to operations teams.

  • Compare source and target state
  • Assign exception ownership
  • Provide safe replay procedures

Start with a boundary. Build the bigger picture.

These are illustrative patterns, not a description of a deployed client system or a guarantee of compliance. The right architecture depends on your constraints, risks and operating model.

Discuss your architecture ↗

From concept to implementation

Technical scope & design decisions

Explore the questions, techniques and potential outputs that can shape an engagement. Final scope depends on the requirements and evidence available.

01Enterprise Integration Architecture

Holistic enterprise integration architecture using modern API-led, event-driven and messaging patterns — replacing fragile point-to-point integrations with resilient, governed integration platforms.

  • MuleSoft

    MuleSoft Anypoint Platform is an enterprise iPaaS for API-led connectivity, mapping systems, data and applications with reusable assets.

  • Azure Integration Services

    Azure Integration Services is Microsoft’s cloud-native platform for enterprise integration using Logic Apps, Service Bus, Event Grid and API Management.

  • Step Functions

    AWS Step Functions is a serverless workflow orchestration service that coordinates distributed tasks and services with state machines.

  • Apache Camel

    Apache Camel is an open-source integration framework for message routing and transformation across many connectors and protocols.

  • iPaaS

    iPaaS (integration Platform as a Service) provides managed tools for connecting applications, data and processes across clouds and on-premises systems.

  • ESB Migration

    ESB migration is the process of moving legacy enterprise service bus integrations to modern API/event-driven fabrics.

Design & implementation focus

  • Enterprise integration pattern selection: point-to-point, hub-and-spoke, ESB, API-led
  • MuleSoft Anypoint Platform design and implementation
  • Azure Integration Services: Logic Apps, Service Bus, APIM and Event Grid
  • Apache Camel route design for complex mediation and transformation
  • Legacy ESB modernisation and migration to cloud-native integration
  • Integration governance: versioning, deprecation, catalogue and SLA management
  • Error handling, dead letter processing and integration observability
  • B2B integration with EDI, AS2, SFTP and partner onboarding frameworks

Potential engagement outputs

  • Integration Architecture
  • Pattern Catalogue
  • Platform Design
  • Governance Framework
  • Monitoring Stack
  • Migration Plan
Discuss this capability →
02Workflow Orchestration

Enterprise workflow orchestration platforms that coordinate complex, long-running processes across systems, people, and AI agents — with full auditability and operational visibility.

  • Apache Airflow

    Apache Airflow is a workflow orchestration engine for authoring, scheduling and monitoring directed acyclic graphs of tasks.

  • Dagster

    Dagster is an asset-oriented orchestration platform that makes data and ML pipelines observable and production-safe.

  • Prefect

    Prefect is a modern workflow orchestration tool with Python-native flow definitions and hybrid execution for cloud and local tasks.

  • Step Functions

    AWS Step Functions is a serverless workflow orchestration service that coordinates distributed tasks and services with state machines.

  • Logic Apps

    Azure Logic Apps is Azure’s low-code integration service for workflow automation connectors and enterprise messaging.

  • Temporal

    Temporal is a durable workflow engine for long-running business processes with stateful activities and reliable retries.

  • Camunda

    Camunda BPM is a process automation platform for human-in-the-loop workflows, BPMN orchestration and decision services.

Design & implementation focus

  • Apache Airflow enterprise deployment on Kubernetes with MWAA or Astronomer
  • Dagster asset-oriented orchestration for data and ML pipeline management
  • Temporal workflow engine for long-running, durable process orchestration
  • AWS Step Functions design for serverless workflow coordination
  • Camunda BPM for human-in-the-loop and compliance workflow automation
  • Workflow observability: execution history, alerting and SLA monitoring
  • Multi-team DAG management with namespacing, RBAC and version control
  • Workflow migration from legacy schedulers and cron-based orchestration

Potential engagement outputs

  • Orchestration Platform
  • DAG Library
  • Monitoring Config
  • Governance Model
  • Migration Runbook
  • Operator Guide
Discuss this capability →
03ERP & CRM Integration

Enterprise-grade integration between ERP, CRM and cloud platforms — enabling a single source of truth, automated data flows, and seamless operational processes across SAP, Salesforce and Oracle.

  • SAP
  • Salesforce
  • Oracle
  • Dynamics 365
  • Workday
  • Integration Suite

    Integration suite platforms provide connectors, transformation, workflow and monitoring capabilities for enterprise system-to-system integration.

  • SAP BTP

Design & implementation focus

  • SAP S/4HANA integration using SAP Integration Suite and BTP
  • Salesforce API integration: REST, SOAP, Bulk API and Platform Events
  • Oracle Fusion integration with OIC and REST-based microservices
  • Microsoft Dynamics 365 integration with Azure Logic Apps and Dataverse
  • Workday integration studio and EIB configuration for HR data flows
  • Master data synchronisation with conflict resolution and golden record management
  • Real-time event-driven integration replacing batch overnight processing
  • Integration testing frameworks and regression suites for ERP change programmes

Potential engagement outputs

  • Integration Design
  • API Mappings
  • Data Flow Diagrams
  • Test Suite
  • MDM Strategy
  • Operations Guide
Discuss this capability →
04Microservices Architecture

Domain-driven microservices architecture design and decomposition strategies — enabling independent deployability, team autonomy, and technological flexibility at scale.

  • Domain-Driven Design
  • Bounded Contexts
  • Saga
  • Outbox
  • Service Mesh

    Service mesh technologies manage service-to-service communication, security and telemetry across distributed application workloads.

  • API Gateway

    API gateway platforms manage API traffic, security, rate limiting, protocol translation and developer access for service endpoints.

  • CQRS

Design & implementation focus

  • Monolith decomposition strategy using strangler fig and parallel run patterns
  • Bounded context design and domain event modelling with EventStorming
  • Saga pattern implementation for distributed transaction management
  • Transactional outbox pattern for reliable event publishing
  • Service mesh implementation for secure service-to-service communication
  • API gateway and BFF (Backend for Frontend) pattern design
  • Microservice sizing guidance and team topology alignment
  • Distributed system observability: correlation IDs, tracing and circuit breakers

Potential engagement outputs

  • Domain Model
  • Service Map
  • Event Catalogue
  • Saga Design
  • API Specification
  • Observability Setup
Discuss this capability →
05Robotic Process Automation

Intelligent RPA programmes that automate repetitive manual processes — combining attended and unattended automation with AI-powered document processing and exception handling.

  • UiPath
  • Automation Anywhere
  • Power Automate

    Power Automate orchestrates cloud desktop and attended flows integrating SaaS APIs approvals records governance.

  • Blue Prism
  • AI OCR
  • Process Mining

Design & implementation focus

  • Process mining and discovery with Celonis, UiPath Process Mining or Minit
  • RPA platform selection and centre of excellence (CoE) design
  • UiPath Studio and Orchestrator enterprise deployment and governance
  • Automation Anywhere A360 platform design and bot development
  • Intelligent document processing with AI-powered OCR and extraction
  • Attended automation design for human-in-the-loop process augmentation
  • Bot performance monitoring, alerting and exception queue management
  • RPA benefit realisation tracking and FTE displacement measurement

Potential engagement outputs

  • Process Assessment
  • Platform Design
  • Bot Library
  • CoE Framework
  • Monitoring Setup
  • Benefits Tracker
Discuss this capability →
06Legacy System Modernisation

Structured legacy modernisation programmes that reduce technical debt, migrate mainframe and on-premises systems, and evolve monolithic applications toward cloud-native architectures.

  • Mainframe Migration
  • COBOL
  • Strangler Fig
  • Re-platform
  • Refactor
  • Technical Debt

    Technical debt is deliberate or accrued shortcuts that raise future cost, incident likelihood or opportunity drag.

Design & implementation focus

  • Legacy system inventory, dependency mapping and modernisation scoring
  • Mainframe migration assessment and COBOL to Java/Go conversion strategies
  • Application portfolio rationalisation with TCO and risk analysis
  • Strangler fig migration pattern with feature parity tracking
  • Database modernisation from Oracle/DB2 to cloud-native equivalents
  • Technical debt quantification and business-aligned remediation prioritisation
  • Legacy API wrapping for incremental exposure to modern consumers
  • Knowledge capture and documentation for undocumented legacy systems

Potential engagement outputs

  • Legacy Assessment
  • Modernisation Roadmap
  • Migration Runbook
  • Technical Debt Register
  • API Wrapper Design
  • Risk Register
Discuss this capability →
07Event-Driven Architecture

Enterprise event-driven architecture design that decouples systems, enables real-time responsiveness, and creates a resilient, extensible backbone for digital ecosystems.

  • Apache Kafka

    Apache Kafka is a distributed log for high-throughput, replayable event streaming — powering real-time pipelines, CDC and enterprise integration backbones.

  • CloudEvents
  • AsyncAPI
  • CQRS
  • Event Sourcing

    Event sourcing captures state changes as an immutable event stream, enabling rebuildable state and auditability.

  • Schema Registry
  • Domain Events

Design & implementation focus

  • Event-driven architecture canvas and domain event identification
  • CloudEvents specification adoption and event envelope design
  • AsyncAPI-driven event catalogue and consumer contract management
  • Event sourcing design with event store selection and projection management
  • CQRS command and query model separation and consistency patterns
  • Schema evolution strategy with backward and forward compatibility
  • Event-driven saga orchestration and choreography pattern selection
  • Cross-organisational event streaming with partner access governance

Potential engagement outputs

  • Event Architecture
  • Domain Event Catalogue
  • Schema Registry
  • AsyncAPI Specification
  • Saga Design
  • Governance Policy
Discuss this capability →
08Low-Code & Process Automation

Strategic low-code and process automation capability that empowers business users while maintaining IT governance — accelerating the delivery of internal tools, workflows and applications.

  • Power Platform

    Microsoft Power Platform bundles Power Apps Power Automate Power BI Copilot Studio and Dataverse for low-code apps workflows analytics and chatbots.

  • Mendix

    Mendix is enterprise low-code for composite apps integrations workflows spanning AWS Azure Kubernetes estates.

  • OutSystems

    OutSystems is high-productivity development combining visual modelling reactive UI integrations lifecycle tooling.

  • Appian

    Appian centres process automation case management records rules low-code apps popular in regulated workflows.

  • Power Apps

    Power Apps builds canvas and model-driven applications atop Microsoft Dataverse with Microsoft-centric connectors.

  • Power Automate

    Power Automate orchestrates cloud desktop and attended flows integrating SaaS APIs approvals records governance.

  • Fusion Teams

    Fusion teams blend professional engineers citizen developers product SMEs enabling scalable governed low-code delivery.

Design & implementation focus

  • Low-code platform selection and Centre of Excellence design
  • Microsoft Power Platform governance: DLP policies, environment strategy and ALM
  • Power Apps model-driven and canvas app design for business process automation
  • Power Automate workflow design and approval chain implementation
  • Mendix and OutSystems application development for complex enterprise scenarios
  • Fusion team model: professional developers and citizen developers in collaboration
  • Low-code security review and data governance policy enforcement
  • Low-code ROI measurement and portfolio management dashboards

Potential engagement outputs

  • Platform Strategy
  • CoE Framework
  • Governance Policies
  • App Portfolio
  • Security Review
  • ROI Dashboard
Discuss this capability →