Enterprise Integration Services

Why enterprise integration matters

Large organisations run dozens or hundreds of applications: ERP, CRM, HR, finance, procurement, warehouse, customer portals and more. Without integration, people re-key data between them, reports disagree and processes stall waiting for information.

Enterprise integration connects these systems through well-designed interfaces so that a change in one place — a new customer, an approved order, a hired employee — flows reliably to every system that needs it.

Problems we solve

• Staff copying data between systems every day
• Point-to-point scripts that break silently
• No single place to see which integrations failed
• Legacy systems without APIs blocking modernisation
• Mergers leaving duplicate systems that must work together

What’s included

Integration architecture

Rather than connecting every system directly to every other — which creates a fragile web of point-to-point links — we design an integration layer. Systems publish events or expose APIs once; other systems consume them through the layer. This makes it easy to add or replace a system without rewriting every connection, and gives one place to monitor and secure data flows.

• Canonical data models for shared entities such as customer, product and order
• Idempotent processing so retries never create duplicates
• Dead-letter queues and replay for failed messages
• Security with OAuth, mutual TLS and least-privilege service accounts

Choosing an integration platform

Integration patterns and when to use them

Making integrations reliable

Integrations fail in ways ordinary features do not: a partner API is down, a message arrives twice, a field changes format overnight. Reliable integrations are designed for failure from the start:

• Idempotency — processing the same message twice must not create duplicate orders or payments.
• Retries with back-off — temporary failures are retried automatically, with limits to avoid storms.
• Dead-letter queues — messages that keep failing are set aside for review instead of being lost.
• Clear system of record — every data field has one owning system, so conflicts have a defined winner.
• Monitoring and alerts — dashboards show message volumes, failures and latency, and alert a named owner.
• Contract tests — automated checks catch breaking changes in partner APIs before production does.

We document each integration with its data mappings, schedules, failure handling and owner, so it can be supported by people who did not build it.

Data mapping and master data

Most integration effort is not code but agreement: what a “customer”, “product” or “order status” means in each system, and which system owns it. We run mapping workshops with the people who use each system, document every field transformation and agree rules for duplicates and conflicts. Investing in clean master data — a single customer ID, consistent product codes, standard units — reduces integration bugs more than any platform choice. Where data quality is poor, we plan a clean-up before connecting systems, because integration spreads bad data faster.

Point-to-point, hub or event mesh?

Most organisations start with direct connections between pairs of systems. That works for three or four systems, but the number of connections grows quickly as systems are added, and every change to one system can break several integrations. The three broad architectures each have a place:

Many estates combine all three: events for high-volume operational data, a hub for SaaS connectors and a few direct calls where latency matters.

How an integration programme runs

1. Inventory1–2 weeks

   List every system, owner, interface, data volume and existing integration — including the spreadsheets and manual re-keying that are integrations in disguise.

2. Prioritise

   Rank flows by business impact and risk. Order-to-cash, customer master data and inventory usually come first.

3. Define contracts

   Agree the canonical data model, field ownership and API or event contracts before writing code.

4. Build and test2–6 weeks per flow

   Implement with automated tests using realistic data, including failures, duplicates and late messages.

5. Operate

   Dashboards, alerts and runbooks so the operations team knows when a flow stops and how to replay it.

Delivering flow by flow keeps value visible: each integration retires a manual process as soon as it goes live, rather than waiting for a “big bang” platform launch.

Security for integrations

• Service accounts with the minimum permissions each flow needs — never a shared admin login
• Secrets in a vault, rotated on a schedule, never stored in integration scripts
• Encryption in transit everywhere and at rest for queues and staging tables holding personal data
• Validation of every inbound payload so one bad message cannot corrupt a downstream system
• Audit logs showing which flow changed which record and when
• Network controls: private endpoints or IP allow-lists for on-premises systems rather than open ports

Measuring integration health

Integrations rarely fail loudly; they fail by quietly falling behind or dropping a small share of records. We agree a handful of measures with each flow owner and put them on a dashboard:

• Latency — how long a change takes to appear in the target system
• Error and retry rate — messages that needed a second attempt or manual handling
• Backlog — messages waiting in queues or dead-letter queues
• Reconciliation gaps — differences in record counts or totals between source and target
• Manual effort avoided — the re-keying hours the flow replaced, which is the number that justifies the investment

A weekly reconciliation report — for example, orders in the e-commerce platform versus orders in the ERP — catches the silent failures that monitoring of individual messages can miss.

Questions to ask an integration partner

• How will we see, in one place, whether every flow is healthy?
• What happens to a message when the target system is down for an hour?
• Who owns the data mapping documentation, and where will it live?
• How do you test with production-like data without exposing personal information?
• Can our team operate and change the integrations after handover?
• What platform licences will we need, and what do they cost as volumes grow?

Integration often sits alongside ERP integration, CRM integration and API development.

Telecom operators rely heavily on integration between OSS, BSS and customer channels — see telecommunications software development.

Related services

See also business process automation, API development, ERP integration and CRM integration.

This page is part of Enterprise Application Development Services — see the full overview for related services, approach and pricing.