Application integration and orchestration
Connect what matters. Orchestrate what scales.
Growth stalls the moment integration can’t keep pace with the business.
We build the integration architecture that makes that pace structural — across SaaS, legacy estates, cloud-native platforms, and partner ecosystems — so integration becomes the control plane for change, not a constraint on it.
THE BUSINESS IMPERATIVE
What every integration architecture decision comes down to
Five decisions determine whether an integration estate scales or fragments:
01
Contract strategy:
Where should APIs be the primary contract, and where are events, streaming, or batch flows the better fit?
02
Legacy exposure:
How do we expose legacy capabilities safely, without carrying forward technical debt or fragility?
03
Hybrid backbone:
What platform backbone will support SaaS, on-prem, multi-cloud, and partner ecosystems without fragmentation?
04
Data, security, and lifecycle governance:
How will consistency, policy enforcement, traceability, and observability be applied across distributed flows?
05
Real-time and AI readiness:
How will integration support real-time data access and event-driven orchestration for analytics platforms and AI services?
OUR APPROACH
How Torry Harris works with you
We implement integration architecture and services across five tracks, each targeting the point where integration programmes most often break down.
01
Integration portfolio intelligence
Map integration flows, dependencies, and system interactions to identify redundancy, fragility, and modernization priorities.
02
Contract-first integration design
Define where APIs, events, streaming, and batch apply — aligned to responsiveness, throughput, and system boundaries.
03
Hybrid integration backbone
Establish API-led and event-driven reference patterns that connect SaaS, core systems, cloud platforms, and partners with repeatable guardrails.
04
Governed system exposure
Introduce reusable abstraction layers (APIs, gateways, mediation) that protect systems of record while enabling change and reuse.
05
Integration engineering, automation, and observability
Implement CI/CD, automated validation, and end-to-end observability so integration scales reliably and stays governable over time.
Our Application integration and orchestration services
Integration must be anchored in business flow, not middleware selection. We design hybrid integration strategies that unify SaaS, legacy, cloud-native, data, partner ecosystems, and digital channels under consistent governance and scalable architecture patterns.
WE DELIVER
- Enterprise integration strategy, governance model, and operating structure
- API-led and event-driven integration architecture design
- Hybrid and multi-cloud integration frameworks
- Legacy modernization through structured API enablement
- Enterprise data movement architecture and integration rationalization strategy
- Streaming and distributed integration models
- AI-readiness assessment across integration architectures
- Security, privacy, and policy alignment across integration layers
PLATFORM AND TOOLING
Result:
A hybrid integration architecture built for reuse and modeled on our Hybrid Integration Architecture & Maturity Model — so new systems onboard in weeks instead of quarters, APIs get built once and used everywhere, and every decision made today still holds as the estate scales into AI-enabled services.
Core systems and SaaS platforms must coexist. We enable structured migration, API exposure, and controlled modernization that preserves stability while enabling digital and AI-driven access.
WE DELIVER
- SaaS-to-SaaS and SaaS-to-on-prem integration
- On-prem to SaaS migration and data migration
- API enablement of legacy and mainframe systems (CICS, z/OS, AS/400, iSeries)
- Integration patterns for packaged applications
- Event streaming overlays for legacy estates
- Scale and performance optimization for high-volume integrations
- Cloud-native re-engineering pathways
PLATFORM AND TOOLING
Result:
Legacy systems that keep running the business while SaaS and digital initiatives move around them — backed by our Legacy-to-Cloud-Native Kit, so modernization happens through API exposure and controlled migration, not disruptive rewrites.
Digital channels require structured backend integration. We design API-first, microservice-driven architectures that unify mobile, web, and partner experiences while maintaining governance, performance, and operational resilience.
WE DELIVER
- Channel-specific microservices strategy
- Backend-for-Frontend (BFF) and GraphQL patterns
- GraphQL federation and API aggregation models
- Mobile backend as a service (MBaaS)
- Multi-platform mobile integration (iOS, Android, Xamarin)
- Responsive and progressive web applications
- Low-code / no-code enablement (e.g., OutSystems)
- Conversational AI and chatbot integration
- Marketplace and API exposure for digital channels
PLATFORM AND TOOLING
Result:
A shared backend layer that every channel builds on instead of rebuilding — so mobile, web, and partner experiences launch faster, stay consistent under peak demand, and are ready to support AI-powered personalization as soon as the business needs it.
Modern enterprises operate across data lakes, warehouses, streaming platforms, IoT ecosystems, and automation frameworks. We unify structured and event-driven integration to support analytics, AI, and operational automation.
WE DELIVER
- Streaming and distributed data architectures
- Data virtualization and rationalization
- IoT connectivity and API enablement (MQTT, CoAP)
- Edge server and edge computing integration
- RPA and process automation integration
- BPM integration models
- AI-Ops and analytics integration
- API enablement for automation platforms
PLATFORM AND TOOLING
Result:
A single, real-time signal that data, devices, and automation platforms all work from — so analytics, AI, and operational automation stop reconciling batch exports and start acting on what's happening right now, with governance that scales as the estate grows.
Insights
CASE STUDY
BT reduced partner onboarding time by 95% using a centralized API development approach
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CASE STUDY
Event-streaming platform simplifies and speeds integration by 25% YoY
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Analyst Speak
Gartner Research: Market Guide for Hybrid Integration Platform - Enabling Technologies
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Frequently asked questions
System integration connects infrastructure, platforms, and core systems. Application integration enables data and process flow between software applications. Together, they create seamless business operations across hybrid estates.
EAI reduces duplication, standardizes data flow, and enables faster rollout of digital capabilities by connecting legacy and modern systems under consistent governance.
It preserves core business logic while enabling digital channels, analytics, and AI-enabled services to securely access critical data.
API-led integration standardizes capability exposure, reduces dependency chains, and allows faster reuse across channels, partners, and internal teams.
Middleware orchestrates communication, routing, and transformation between systems. When governed properly, it prevents sprawl and improves scalability.
Standardized integration layers enforce validation rules, centralize observability, and reduce duplication — improving consistency and traceability.
Industries with complex ecosystems and high transaction volumes — telecom, financial services, healthcare, logistics, retail, and public sector — see the greatest value.
Cloud integration connects SaaS, cloud-native, and on-prem systems through APIs, events, and secure data flows, enabling hybrid operational continuity.
Integrated systems eliminate process breaks, reduce latency, and ensure consistent data across channels, improving response time and personalization.
Look for architectural discipline, governance frameworks, hybrid expertise, and the ability to modernize legacy estates without disrupting core operations.
Torry Harris brings decades of vendor-neutral integration experience across legacy systems, cloud platforms, and modern architectures. The integration backbone we build connects directly to our AI and governance practices, so new digital and AI initiatives scale without separate rebuilds.
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