07 — Connect

Software Integration Services

Making the systems you already paid for behave like one platform — reliably, observably, and without a spreadsheet in the middle.

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Overview

Most estates have a seams problem

Most organisations do not have a software problem; they have a seams problem. Orders live in one system, inventory in another, finance in a third, and the truth is reconstructed manually every month by someone who has become a single point of failure.

We close those seams with explicit contracts, idempotent processing and monitoring that tells you a sync failed before your customers do — rather than with another nightly CSV export nobody owns.

A

Contract-first

Every interface gets a versioned schema, so an upstream change is a deliberate decision rather than a silent outage.

B

Built to be re-run

Idempotent handlers, dead-letter queues and replay tooling, because integrations fail and recovery has to be boring.

C

Observable end to end

Correlation IDs across every hop, so 'where did this order go' takes two minutes rather than two days.

What's included

Integration work we take on

Point-to-point connections, full middleware layers, or untangling the integrations that grew organically over ten years.

Third-party API integration

Payment providers, carriers, tax engines, identity providers and marketplaces — including the ones with poor documentation and no sandbox.

Data synchronisation

Two-way sync with clear conflict-resolution rules, so two systems disagreeing about a record has a defined outcome instead of a support ticket.

Enterprise middleware & ESB

Event-driven backbones on Kafka, Azure Service Bus or RabbitMQ that decouple producers from consumers and survive one system going down.

Legacy system connectors

Bridging mainframes, on-premise ERP and file-based interfaces into modern APIs without touching the system of record.

ETL & data pipelines

Batch and streaming pipelines into warehouses and lakes, with lineage and data-quality checks that fail loudly rather than silently.

Monitoring & reconciliation

Automated reconciliation jobs and alerting that catch drift between systems before finance does at month end.

How we work

An integration engagement

01

Map the estate

Every system, interface, batch job and undocumented script that moves data today — including the ones only one person knows about.

02

Define the contracts

Canonical models, event schemas and error semantics agreed with the owners of each system before implementation begins.

03

Build and shadow-run

New flows run alongside the existing ones, with outputs compared automatically until they agree for a full business cycle.

04

Cut over and monitor

Old flows retired one at a time, each with dashboards, alerting and a documented rollback path.

Why it pays off

What good integration removes

The manual reconciliation tax

Hours of monthly matching disappear, along with the risk of it all living in one person's head.

Silent failures

A stuck queue or rejected payload raises an alert with the payload attached, instead of surfacing as an angry customer call.

Vendor lock-in by accident

Systems talk through documented contracts, so replacing one of them stops meaning re-cutting every other integration.

Technologies we reach for

KafkaRabbitMQAzure Service BusAWS EventBridgeMuleSoftApache CamelRESTGraphQLgRPCOpenAPIAirflowdbtSnowflake
FAQ

Questions we get asked

Usually. Options include a database-level change-data-capture feed, a file-based interface on a scheduled drop, screen-level automation as a last resort, or a thin API facade we build and host alongside the legacy system. We will tell you upfront which of those a given system realistically supports and what each one costs to operate.

Whichever is cheaper to own over three years. Licensed platforms such as MuleSoft or Azure Integration Services earn their fee when you have dozens of interfaces and a team to run them; for a handful of flows, well-tested code on infrastructure you already pay for is usually the better economics. We model both before recommending.

Every handler is idempotent and keyed on a business identifier, so re-delivery is safe by design. Failed messages land in a dead-letter queue with the original payload and error, alert the owning team, and can be replayed once the cause is fixed. No integration we build silently drops a message.

Let's talk

Tell us what you are trying to build

Book a free consultation call. You will speak to a senior architect, not a salesperson, and leave with a technical direction and a realistic budget band — before you commit to anything.

  • A senior architect on the first call
  • A written proposal within 3 business days
  • Full IP ownership assigned to you on delivery